dblp: Expert Systems - The Journal of Knowledge Engineering, Volume 41 (original) (raw)

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Volume 41, Number 1, January 2024

Review

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    Monika Sharma, Ajay Kaul:
    A review of detecting malware in android devices based on machine learning techniques.

Original Articles

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    Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, Leonardo Ramos Rodrigues, Diego Oliva:
    An improved binary grey wolf optimizer for constrained engineering design problems.
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    Abdellah El Zaar, Nabil Benaya, Toufik Bakir, Amine Mansouri, Abderrahim El Allati:
    Prediction of US 30-years-treasury-bonds movement and trading entry point using the robust 1DCNN-BiLSTM-XGBoost algorithm.
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    Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang, Victor Chang:
    CogNLG: Cognitive graph for KG-to-text generation.
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    Muhidin Mohamed, Mourad Oussalah, Victor Chang:
    SDbQfSum: Query-focused summarization framework based on diversity and text semantic analysis.
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    Zubaida Rehman, Noshina Tariq, Syed Atif Moqurrab, Joon Yoo, Gautam Srivastava:
    Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues.
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    Haji Gul, Feras N. Al-Obeidat, Adnan Amin, Fernando Moreira:
    Analyzing complex networks: Extracting key characteristics and measuring structural similarities.
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    Priya Mathur, Amit Kumar Gupta, Deepak Panwar, Tarun Kumar Sharma:
    Soft computing approaches for prediction of specific heat capacity of hybrid nanofluids.
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    (Withdrawn) 6G-enabled internet of medical things.
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    Kunal Chaturvedi, Chhavi Dhiman, Dinesh Kumar Vishwakarma:
    Fight detection with spatial and channel wise attention-based ConvLSTM model.
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    Yao Lv, Peng Liu, Juan Wang, Yao Zhang, Adam Slowik, Jianhui Lv:
    GA-based feature selection method for oversized data analysis in digital economy.
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    M. Sreenu, Nitin Gupta, Chandrashekar Jatoth, Deepak Gupta:
    Reinforcement learning and blockchain-based intelligent and secure vaccine recommender system.
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    Moutaz Alazab:
    Android ransomware detection using binary Jaya optimization algorithm.
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    Elena Higueras-Castillo, Dineshwar Ramdhony, Zoran Kalinic, Francisco J. Liébana-Cabanillas:
    Examining the two-dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN.
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    Dan Li, Ning Lu, Siyu Wang, Wenbo Shi, Chang Choi:
    A precise method of identifying Android application family.

Volume 41, Number 2, February 2024

Machine Learning Challenges and Applications for Industry 4.0 (EXSYS-MLI4.0)

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    Víctor Rodríguez-Fernández, David Camacho:
    Recent trends and advances in machine learning challenges and applications for industry 4.0.
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    Atma Ram Sahu, Sanjay Kumar Palei, Aishwarya Mishra:
    Data-driven fault diagnosis approaches for industrial equipment: A review.
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    Álvaro Michelena, José Aveleira-Mata, Esteban Jove, Martín Bayón-Gutiérrez, Paulo Novais, Oscar Fontenla-Romero, José Luís Calvo-Rolle, Héctor Alaiz-Moretón:
    A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport.
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    Izaskun Mendia, Sergio Gil-Lopez, Iñaki Grau, Javier Del Ser:
    A novel approach for the detection of anomalous energy consumption patterns in industrial cyber-physical systems.
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    Gen Li, Jason J. Jung:
    Dynamic graph embedding-based anomaly detection on internet of things time series.
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    Federico Gatta, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli:
    Predictive maintenance for offshore oil wells by means of deep learning features extraction.
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    Boyan Xu, Hujun Yin:
    A slimmer and deeper approach to deep network structures for low-level vision tasks.
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    Jiaxin Li, Yonggang Li, Zhenxiang Feng, Bei Sun, Shuang Long, Yanting Luo:
    A spatiotemporal-distributed deep-learning framework for KPI estimation of chemical processes with cascaded reactors.
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    Nijat Mehdiyev, Lea Mayer, Johannes Lahann, Peter Fettke:
    Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises.
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    B. Harish Goud, T. N. Shankar, Basant Sah, Rajanikanth Aluvalu:
    Energy optimization in path arbitrary wireless sensor network.
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    Ibrahim Abunadi, Amjad Rehman, Khalid Haseeb, Teg Alam, Gwanggil Jeon:
    A multi-parametric machine learning approach using authentication trees for the healthcare industry.
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    Felipe Barreno, Matilde Santos, Manuel G. Romana:
    A novel adaptive vehicle speed recommender fuzzy system for autonomous vehicles on conventional two-lane roads.
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    Alfonso González-Briones, Pablo Chamoso, Juan Pavón, Fernando De la Prieta, Juan M. Corchado:
    Job offers recommender system based on virtual organizations.
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    Jesús Enrique Sierra-García, Matilde Santos:
    Combining reinforcement learning and conventional control to improve automatic guided vehicles tracking of complex trajectories.
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    Ulligaddala Srinivasarao, Aakanksha Sharaff:
    Sentiment analysis from email pattern using feature selection algorithm.
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    Antonio Jesús Chaves, Cristian Martín, Manuel Díaz:
    The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka-ML: A deep-learning performance comparative.
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    Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Bojan Jovanovic, Marija Bogicevic-Sretenovic, Ivana Strumberger:
    Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0.
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    Maciej Szelazek, Szymon Bobek, Grzegorz J. Nalepa:
    Semantic data mining-based decision support for quality assessment in steel industry.

Intelligent Computational Methods for Economics

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    Takfarinas Saber, Dominik Naeher, Malika Bendechache:
    Intelligent computational methods for economics.
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    José Ângelo Ferreira, Edson Luiz Valmorbida, Bruno Goulart Sato, Bruno Pontes Fuentes, Renan Botti:
    Forgetting curve models: A systematic review aimed at consolidating the main models and outlining possibilities for future research in production.
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    Zidi Gao, Ercan Engin Kuruoglu:
    Attention based hybrid parametric and neural network models for non-stationary time series prediction.
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    Xinsheng Zhang, Yulong Ma, Minghu Wang:
    An attention-based Logistic-CNN-BiLSTM hybrid neural network for credit risk prediction of listed real estate enterprises.
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    Przemyslaw Gradzki, Piotr Wójcik:
    Is attention all you need for intraday Forex trading?
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    José Miguel Navarro-Azorín, José María Ramos-Parreño:
    ...And the pursuit of happiness: International migratory flows and countries' subjective well-being.

Review

Original Articles

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    Sandeep S. Udmale, Aneesh G. Nath, Durgesh Singh, Aman Singh, Xiaochun Cheng, Divya Anand, Sanjay Kumar Singh:
    An optimized extreme learning machine-based novel model for bearing fault classification.
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    Dheeb Albashish, Hossam M. J. Mustafa, Ruba Abu Khurma, Basela Hasan, Sulieman Bani-Ahmad, Azizi Abdullah, Anas Arram:
    Enhanced meta-heuristic methods for industrial winding process modelling.
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    Naseem Ahmad, Ghulam Muhammad, Kuldeep Singh Yadav, Rabul Hussain Laskar, Ashraf Hossain, Zulfiqar Ali:
    A cascaded deep learning framework for iris centre localization in facial image.
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    Ahmad Bala Alhassan, Wudhichai Assawinchaichote, Huiyan Zhang, Yan Shi:
    Hybrid input shaping and fuzzy logic-based position and oscillation control of tower crane system.
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    Michal Koren, Oded Koren, Or Peretz:
    Weighted distance classification method based on data intelligence.
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    Hossein Yektamoghadam, Amirhossein Nikoofard, Masoumeh Behzadi, Mahdi Khosravy, Nilanjan Dey, Olaf Witkowski:
    Multi-criteria evolutionary optimization of a traffic light using genetics algorithm and teaching-learning based optimization.

Volume 41, Number 3, March 2024

Review

Original Articles

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    Harnain Kour, Manoj Kumar Gupta:
    Hybrid evolutionary intelligent network for sentiment analysis using Twitter data during COVID-19 pandemic.
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    Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato:
    Multi-aspect permutation tests for model selection.
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    Chunmeng Liu, Guangyao Li:
    WegFormer: Transformers for weakly supervised semantic segmentation.
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    Srinivasulu Pathakamuri, B. V. Ramana Reddy, A. P. Siva Kumar:
    PaaS platform security enhancement using fuzzy based access control and trust based signature.
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    Ashwini Kodipalli, V. Susheela Devi, Santosh K. Dasar:
    Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model.
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    Hua Zhuang, Xueying Luo:
    Cross-efficiency evaluation of the data envelopment analysis with conflict behaviour and beneficial relationship perspectives.
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    Iztok Fister Jr., Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz, Andreas Holzinger:
    NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture.
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    Wenchao Zhang, Chong Fu, Mai Zhu, Lin Cao, Ming Tie, Chiu-Wing Sham:
    Joint object contour points and semantics for instance segmentation.
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    Sonia Verma, Preeti Rani, Shelly Gupta, Richa Sharma, Kusum Yadav, Arwa N. Aledaily, Meshal Alharbi:
    An automated face mask detection system using transfer learning based neural network to preventing viral infection.
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    Md. Yousuf Ali, Bin Jiang, Oindrila Chowdhury, Md. Harun-Ar-Rashid, M. Shamim Hossain, Khalid Al Mutib:
    Cosine modulated filter bank-based architecture for extracting and fusing saliency features.
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    Sannidhan M. S, Jason Elroy Martis, Senka Krivic, Sudeepa K. B, Pradeep Nazareth:
    A swarm-optimized microbial colony counter.
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    Ruidong Zhang, Zelin Guo, Hai Huan:
    Text classification based on PEGCN: Graph convolution classification using location information and edge features.
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    Zhiyi Yu, Hong Li, Jialin Feng:
    Enhancing text classification with attention matrices based on BERT.
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    Chunlin Yin, Kunpeng Du, Qiong Nong, Hongcheng Zhang, Li Yang, Bin Yan, Xiang Huang, Xiaobo Wang, Xuan Zhang:
    PowerPulse: Power energy chat model with LLaMA model fine-tuned on Chinese and power sector domain knowledge.

Volume 41, Number 4, April 2024

Review

Original Articles

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    Palak Handa, Muskan Gupta, Esha Gupta, Nidhi Goel:
    One-dimensional atrous conv-net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain-computer interface applications.
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    Mahmoud Ragab, Alaa O. Khadidos, Abdulrhman M. Alshareef, Adil Omar Khadidos, Mohammed Altwijri, Nawaf Alhebaishi:
    Optimal deep transfer learning driven computer-aided breast cancer classification using ultrasound images.
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    Muhammad Yasir, Inam Ullah, Chang Choi:
    Depthwise channel attention network (DWCAN): An efficient and lightweight model for single image super-resolution and metaverse gaming.
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    Xiufeng Zhang, Xingkui Fu, Guobin Qi, Ning Zhang:
    A multi-scale feature fusion convolutional neural network for facial expression recognition.
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    Berkant Düzgün, Aykut Çayir, Ugur Ünal, Hasan Dag:
    Network intrusion detection system by learning jointly from tabular and text-based features.
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    Zhigao Long, Hong Li, Jiawen Shi, Xin Ma:
    Data augmentation using virtual word insertion techniques in text classification tasks.
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    Felipe Augusto Lara Soares, Henrique Cota de Freitas:
    Automated and intelligent system for World Health Organization data forecasting.
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    Jihene Tmamna, Emna Ben Ayed, Rahma Fourati, Amir Hussain, Mounir Ben Ayed:
    Bare-Bones particle Swarm optimization-based quantization for fast and energy efficient convolutional neural networks.
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    Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
    Efficient ensembles of distance-based label ranking trees.
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    Sofia Strukova, Rubén Gaspar Marco, Félix Gómez Mármol, José A. Ruipérez-Valiente:
    Identifying professional photographers through image quality and aesthetics in Flickr.
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    Awanish Kumar Mishra, Indresh Kumar Gupta, Swati Srivastava, Sultan Alfarhood, Mejdl S. Safran:
    Empowering EEG motor imagery classification with deep transfer learning approach.
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    Ali Al Bataineh, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, Amirmehdi Yazdani, Syed Mohammed Shamsul Islam, Abbas Khosravi:
    An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis.
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    Jie Wu, Mengshu Hou:
    Enhancing diversity for logical table-to-text generation with mixture of experts.
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    Prashanth K. V. T. K. N., Tene Ramakrishnudu:
    Sarcasm-based tweet-level stress detection.

Volume 41, Number 5, May 2024

Intelligent Fuzzy Assisted Cognitive Systems for Supply Chain Management

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    Jinli Ma, Carlos Enrique Montenegro-Marín, Rubén González Crespo:
    Effective high-quality economic growth based on human capital structure.
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    (Withdrawn) The economic globalization for sustainable management of overseas trade enterprise logistics.
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    Rakesh Kumar, Varun Joshi, Gaurav Dhiman, Wattana Viriyasitavat:
    An improved exponential metric space approach for C-mean clustering analysing.
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    Juan Lei:
    Research on the improvement path of international competitiveness of China's agricultural product supply chain from the perspective of machine learning.
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    (Withdrawn) Measuring systemic and systematic risk in the financial markets using artificial intelligence.
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    (Withdrawn) Linking AI supply chain strength to sustainable development and innovation: A country-level analysis.
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    (Withdrawn) Auxiliary cognition system-based management strategy optimization of supply chain of new energy in oil-gas enterprises.
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    (Withdrawn) The analysis of optimized path selection for management mode of coastal regional circular economy based on fuzzy decision algorithm.
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    (Withdrawn) The model of Tibetan thangka sales under blockchain technology.
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    (Withdrawn) Supply chain operation evaluation and management decision by fuzzy cognitive map model.
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    (Withdrawn) Analysis and design of financial data mining system based on fuzzy clustering.
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    Ziyu Xu:
    Supply chain benefit distribution and economic sustainable development by Shapley model in smart city.
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    (Withdrawn) Dynamic relationship network and international management of enterprise supply chain by particle swarm optimization algorithm under deep learning.
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    (Withdrawn) Adaptive control and supply chain management of intelligent agricultural greenhouse by intelligent fuzzy auxiliary cognitive system.
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    (Withdrawn) Adoption of blockchain + Internet of Things in demand forecasting of farm supply chain.
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    (Withdrawn) Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management.
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    Qi Wang, Wenjie Zhang, Lan Ma:
    Applying information ecological theory to analyse the green supply chain management system in universities.
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    (Withdrawn) The analysis of green advertisement communication strategy based on deep factorization machine deep learning model under supply chain management.
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    (Withdrawn) The evaluation of enterprise supply chain intelligent manufacturing system for agricultural interconnection data based on machine learning.
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    (Withdrawn) The design of intelligent fuzzy cognitive system of music emotion by product supply chain management.
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    (Withdrawn) The energy storage and optimal dispatch supply chain for new energy grids using edge computing and the internet of things.
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    (Withdrawn) The design for supply chain management of intelligent logistics system using cloud computing and the internet of things.
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    (Withdrawn) The genetic algorithm and BP neural network in financial supply chain management under information sharing.
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    (Withdrawn) Supply chain risk management of badminton supplies company using decision tree model assisted by fuzzy comprehensive evaluation.
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    (Withdrawn) The risk evaluation and management of the sports service supply chain by introducing fuzzy comprehensive appraisal and artificial intelligence technology.

Artificial Intelligence and Internet of Things for Environmental Pollution Research

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    Junjie Xiang, Haitao Mao, Bin Yang:
    Impact assessment and mechanism of water conservancy policy on carbon emission performance under the background of artificial intelligence.
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    Kalaivanan Karuppannan, Vellingiri Jayagopal:
    Normalized hellinger feature selection and soft margin boosting classification for water quality prediction.
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    Jingyao Song, Changyan Xu, Chuanxu Wang:
    Impacts of the carbon tax on green shipping supply chain under the port competition.
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    Yu Lin:
    Carbon emission reduction policy simulation based on the CGE model.

Intelligent Software Engineering

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    Youhuizi Li, Yuyu Yin, Yu Li, Haijie Hu, Linyang Lu, Jie Cao:
    Software business process adaptive approach supporting organization architecture evolution.
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    Xiaoxiao Sun, Salamat Boranbaev, Shicong Han, Huanqiang Wang, Dongjin Yu:
    Expert system for automatic microservices identification using API similarity graph.
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    Zhifang Liao, Kun Wang, Zeng Qi, Shengzong Liu, Yan Zhang, Jianbiao He:
    Classification of open source software bug report based on transfer learning.
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    Xiaoxiao Sun, Siqing Yang, Yuke Ying, Dongjin Yu:
    Next activity prediction of ongoing business processes based on deep learning.

WABIOSIG

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    Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya:
    An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features.
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    Joel Koh En Wei, Venkatesan Rajinikanth, Jahmunah Vicnesh, The-Hanh Pham, Shu Lih Oh, Chai Hong Yeong, Meena Sankaranarayanan, Aditya P. Kamath, Giliyar Muralidhar Bairy, Prabal Datta Barua, Kang Hao Cheong:
    Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals.

Volume 41, Number 6, June 2024

Emerging Trends in Artificial Intelligence for Intelligent Industrial Applications

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    Jose Patris Donald, Linda Joseph:
    CIAMS - Checkpoint-intrigued adversary mitigation scheme for industrial internet of things.
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    Karol Mateusz Ciok, Jordán Pascual Espada, Rubén González Crespo:
    Flex-request: Library to make remote changes in the communication of IoT devices.
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    Dengjia Li, Chaoqun Ma, Zhongding Zhou, Xianhua Kuang, Zijun Lin:
    Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform.
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    Asmita Yadav, Mohammed Baljon, Shailendra Mishra, Sandeep Kumar Singh, Sharad Saxena, Sunil Kumar Sharma:
    Developer load balancing bug triage: Developed load balance.
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    Ravi Prakash, Shashank Pushkar:
    Green vehicle routing problem: Metaheuristic solution with time window.
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    Jie Zhao, Shuainan Ding, Bengang Gong, Zhenchao Ma, Jiamin Jin:
    Research on temporal and spatial distribution characteristics of passenger flow of Daxing airport line based on automatic fare collection data.
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    Ganesan Mariammal, A. Suruliandi, Kharla Andreina Segovia-Bravo, Raja Soosaimarian Peter Raj:
    Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers.
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    Sunil Kumar Sharma, Mohammed Ibrahim Al-Wanain, Majed Alowaidi, Hisham Alsaghier:
    Mobile healthcare (m-Health) based on artificial intelligence in healthcare 4.0.
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    Hanumanthu Bhukya, Manchala Sadanandam:
    Handling uncertainty using optimal clustering with rough sets-based rule generation model for data classification.
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    Fahad Alblehai, Mohamed H. Mahmoud, M. Shaheer Akhtar, Ahmed Shaker, Abdallah A. Mohamed:
    Analysing biosensor clinical pathogen information using mayfly optimized convolute neural network approach.
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    Appu Alfred Raja Melvin, G. Jaspher W. Kathrine, Subbulakshmi Pasupathi, Vimal Shanmuganathan, Rajalingam Naganathan:
    An AI powered system call analysis with bag of word approaches for the detection of intrusions and malware in Australian Defence Force Academy and virtual machine monitor malware attack data set.
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    Xubin Hua, Qiao Lin, Fayong Gong, Li Cai, Junhua Liu:
    Mango wine making process optimization based on artificial intelligence deep learning technology.
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    Junxia Yang, Youpeng Zhang, Yuxiang Jin:
    Cooperative robust adaptive control of multiple trains based on RBFNN position output constraints.
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    Elías Plaza, Matilde Santos:
    Management and intelligent control of in-flight fuel distribution in a commercial aircraft.
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    Shefali Singhal, Poonam Tanwar:
    An E-commerce prediction system for product allocation to bridge the gap between cultural analytics and data science.
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    Youcef Djenouri, Asma Belhadi, Anis Yazidi, Gautam Srivastava, Jerry Chun-Wei Lin:
    Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism.
• 
  • 
  • 
  • 
  • 
    Harikrushna Gantayat, Trilochan Panigrahi, Pradyumna Patra:
    An efficient direction-of-arrival estimation of multipath signals with impulsive noise using satin bowerbird optimization-based deep learning neural network.
• 
  • 
  • 
  • 
  • 
    Devrim Naz Akdas, Derya Birant, Pelin Yildirim Taser:
    ERIM: An ensemble of rare itemset mining and its application in the automotive industry.
• 
  • 
  • 
  • 
  • 
    S. Ayesha Jasmin, Pradeep Ramesh, Mohammad Tanveer:
    Development of Artificial Intelligence-based chatbot for smart aquafarm practices.
• 
  • 
  • 
  • 
  • 
    Anuli Dass, Smriti Srivastava, Monika Gupta, Manju Khari, Javier Parra Fuente, Elena Verdú:
    Modelling and control of fuzzy-based systems using intelligent water drop algorithm.
• 
  • 
  • 
  • 
  • 
    Liang Meng, Wanli Zhao:
    Emotional expression in jewellery design under the background of artificial intelligence.
• 
  • 
  • 
  • 
  • 
    Vishal Srivastava, Smriti Srivastava, Gopal Chaudhary, Xiomara Patricia Blanco-Valencia:
    Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques.
• 
  • 
  • 
  • 
  • 
    Dong-e Liu:
    The refined management of medical finance combined with information technology construction.

Natural Language Processing Assistance on Digital Library Managemen

• 
  • 
  • 
  • 
  • 
    Shaobin Huang, Jingyun Sun, Rongsheng Li:
    NeuralConflict: Using neural networks to identify norm conflicts in normative documents.
• 
  • 
  • 
  • 
  • 
    (Withdrawn) Natural language processing with deep learning enabled hybrid content retrieval model for digital library management.
• 
  • 
  • 
  • 
  • 
    (Withdrawn) A predictive typological content retrieval method for real-time applications using multilingual natural language processing.
• 
  • 
  • 
  • 
  • 
    (Withdrawn) ELSTM: An improved long short-term memory network language model for sequence learning.
• 
  • 
  • 
  • 
  • 
    (Withdrawn) An improved differential bond energy algorithm with fuzzy merging method to improve the document clustering for information mining.
• 
  • 
  • 
  • 
  • 
    (Withdrawn) An information extraction method based on improved mixed text density web pages.

Computational Methods for 3D Dental Images (GUPTA)

• 
  • 
  • 
  • 
  • 
    Harshavardhan Awari, Neelakandan Subramani, Avanija Janagaraj, Geetha Balasubramaniapillai Thanammal, Jackulin Thangarasu, Rachna Kohar:
    Three-dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm.
• 
  • 
  • 
  • 
  • 
    Jayaraj Velusamy, T. Rajajegan, Sini Anna Alex, M. Ashok, Mayuri A. V. R., Siripuri Kiran:
    Faster Region-based Convolutional Neural Networks with You Only Look Once multi-stage caries lesion from oral panoramic X-ray images.
• 
  • 
  • 
  • 
  • 
    Kusum Yadav, Kawther A. Al-Dhlan, Hamad Alreshidi, Gaurav Dhiman, Wattana Viriyasitavat, Abdullah Zaid Almankory, Kadiyala Ramana, S. Vimal, Venkatesan Rajinikanth:
    A novel coarse-to-fine computational method for three-dimensional landmark detection to perform hard-tissue cephalometric analysis.
• 
  • 
  • 
  • 
  • 
    Chiranjit Dutta, Prasad Sandhya, Kandasamy Vidhya, Ramanathan Rajalakshmi, Devasahayam Ramya, Kotakonda Madhubabu:
    Effectiveness of deep learning in early-stage oral cancer detections and classification using histogram of oriented gradients.
• 
  • 
  • 
  • 
  • 
    Surbhi Vijh, Neetu Gupta, Sumit Kumar, Priti Bansal:
    New bag of features using reinforcement Aquila optimization and weighted Bayesian Gaussian mixture modelling for dental images.

Volume 41, Number 7, July 2024

ICCCN-2022

• 
  • 
  • 
  • 
  • 
    Deepak Gupta:
    Special issue on International conference on computing and communication networks (ICCCN2022).
• 
  • 
  • 
  • 
  • 
    Minni Jain, Rajni Jindal, Amita Jain:
    Code-mixed Hindi-English text correction using fuzzy graph and word embedding.
• 
  • 
  • 
  • 
  • 
    Ritu Bibyan, Sameer Anand, Ajay Jaiswal, Anu G. Aggarwal:
    Bug severity prediction using LDA and sentiment scores: A CNN approach.
• 
  • 
  • 
  • 
  • 
    Anshika Arora, Pinaki Chakraborty, M. P. S. Bhatia, Akshi Kumar:
    Deep-SQA: A deep learning model using motor activity data for objective sleep quality assessment assisting digital wellness in healthcare 5.0.
• 
  • 
  • 
  • 
  • 
    Dimple Sethi, Chandra Prakash, Sourabh Bharti:
    Multi-feature gait analysis approach using deep learning in constraint-free environment.
• 
  • 
  • 
  • 
  • 
    Awanish Kumar Mishra, Indresh Kumar Gupta, Tarun Dhar Diwan, Swati Srivastava:
    Cervical precancerous lesion classification using quantum invasive weed optimization with deep learning on biomedical pap smear images.
• 
  • 
  • 
  • 
  • 
    Qiming Zhang, Yang Li, Chenguang Guo, Shibo Yin, Lin Ma, Yunrong Zhu:
    Marine radar monitoring IoT system and case study of target detection based on PPI images.
• 
  • 
  • 
  • 
  • 
    Parminder Pal Singh Bedi, Manju Bala, Kapil Sharma:
    Extractive text summarization for biomedical transcripts using deep dense LSTM-CNN framework.
• 
  • 
  • 
  • 
  • 
    Rajat Arora, Abhishek Tandon, Anu G. Aggarwal, Rubina Mittal:
    Genetic algorithm-based price and warranty optimization in software systems.
• 
  • 
  • 
  • 
  • 
    Anurag Choudhary, Tauheed Mian, Shahab Fatima, Bijaya K. Panigrahi:
    Nature-inspired artificial bee colony-based hyperparameter optimization of CNN for anomaly detection in induction motor.
• 
  • 
  • 
  • 
  • 
    Subhashree Rout, Pradeep Kumar Mallick, Annapareddy V. N. Reddy, Meshal Alharbi, Ahmed Alkhayyat:
    An empirical hybridized Siamese network using hypercube natural aggregation algorithm for handling imbalance data learning.
• 
  • 
  • 
  • 
  • 
    Dongmei Jin, Zhongxu Zhang, Yanru Ma, Zhushan Dai, Lili Zhao, Tongyao Ma, Guoping Chen:
    Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C-means clustering intelligent algorithm.
• 
  • 
  • 
  • 
  • 
    Mahmoud Ragab:
    Hybrid firefly particle swarm optimisation algorithm for feature selection problems.

Data Science Approaches for Sustainable Development

• 
  • 
  • 
  • 
  • 
    Serena Strazzullo, Paulo Cortez, Sérgio Moro:
    Data science approaches for sustainable development.
• 
  • 
  • 
  • 
  • 
    Widad Hassina Belkadi, Yassine Drias, Habiba Drias, Mustapha Dali, Samira Hamdous, Nadjet Kamel, Djemai Aksa:
    A SCORPAN-based data warehouse for digital soil mapping and association rule mining in support of sustainable agriculture and climate change analysis in the Maghreb region.
• 
  • 
  • 
  • 
  • 
    Mark Anthony Camilleri:
    Artificial intelligence governance: Ethical considerations and implications for social responsibility.
• 
  • 
  • 
  • 
  • 
    Shivam Gupta, Sachin Modgil, Bharat Bhushan, Sachin S. Kamble, Juhi Mishra:
    Digital innovation and transformation capabilities in a large company.
• 
  • 
  • 
  • 
  • 
    Madjid Tavana, Mahsa Sohrabi, Homa Rezaei, Shahryar Sorooshian, Hassan Mina:
    A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data.
• 
  • 
  • 
  • 
  • 
    Vaishali Sood, Rishi Pal Chauhan:
    Progress and prospects of quantum computing in sustainable development: An analytical review.
• 
  • 
  • 
  • 
  • 
    Hui Yuan, Hong Nie:
    Edge computing driven sustainable development: A case study on professional farmer cultivation mechanism.

Editorial

Original Articles

• 
  • 
  • 
  • 
  • 
    Zi-Ren Wang, Xiaoxiang Hu, Peng Wei, Bo Yuan:
    An improved particle swarm optimization algorithm for scheduling tasks in cloud environment.
• 
  • 
  • 
  • 
  • 
    Vitaliy Milke, Cristina Luca, George B. Wilson:
    Reduction of financial tick big data for intraday trading.
• 
  • 
  • 
  • 
  • 
    Thao Nguyen Da, Ming-Yuan Cho, Phuong Nguyen Thanh:
    Hourly load prediction based feature selection scheme and hybrid CNN-LSTM method for building's smart solar microgrid.
• 
  • 
  • 
  • 
  • 
    Yuan Zhang, Chuanyi Li, Yu Sheng, Jidong Ge, Bin Luo:
    Judicial intelligent assistant system: Extracting events from Chinese divorce cases to detect disputes for the judge.
• 
  • 
  • 
  • 
  • 
    Majed Alsanea, Ashit Kumar Dutta:
    Detecting cardiovascular diseases from radiographic images using deep learning techniques.
• 
  • 
  • 
  • 
  • 
    Prabhjot Kaur, Anand Muni Mishra, Nitin Goyal, Sachin Kumar Gupta, Achyut Shankar, Wattana Viriyasitavat:
    A novel hybrid CNN methodology for automated leaf disease detection and classification.
• 
  • 
  • 
  • 
  • 
    R. R. Rejimol Robinson, K. P. Anagha Madhav, Ciza Thomas:
    Improved minority attack detection in Intrusion Detection System using efficient feature selection algorithms.
• 
  • 
  • 
  • 
  • 
    Gang Tian, Jiachang Wang, Rui Wang, Guangxin Zhao, Cheng He:
    A multi-label social short text classification method based on contrastive learning and improved ml-KNN.
• 
  • 
  • 
  • 
  • 
    Ben Watkins, Lameck Odallo, Jenny Yu:
    Artificial intelligence for the practical assessment of nutritional status in emergencies.

Volume 41, Number 8, August 2024

Computing, Intelligence and Data Analytics for Wisdom (CIDA4Wisdom)

Review

Survey Articles

Original Articles

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  • 
  • 
  • 
    Fatemeh Daneshfar, Mohammad Javad Aghajani:
    Enhanced text classification through an improved discrete laying chicken algorithm.
• 
  • 
  • 
  • 
  • 
    Roberto Prado-Rodriguez, Patricia González, Julio R. Banga, Ramón Doallo:
    Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications.
• 
  • 
  • 
  • 
  • 
    M. Nanthini, K. Pradeep Mohan Kumar:
    O-SCDR: Optimal cluster with attention based shared-account cross-domain sequential recommendation using deep reinforcement learning technique.
• 
  • 
  • 
  • 
  • 
    Fernando Guedan Pecker, Cristian Ramírez-Atencia:
    Airport take-off and landing optimization through genetic algorithms.
• 
  • 
  • 
  • 
  • 
    Amit Chougule, Shreyas Kolte, Vinay Chamola, Amir Hussain:
    A novel generative adversarial network-based super-resolution approach for face recognition.
• 
  • 
  • 
  • 
  • 
    Marco Siino, Francesco Lomonaco, Paolo Rosso:
    Backtranslate what you are saying and I will tell who you are.
• 
  • 
  • 
  • 
  • 
    Lin Zhang, Shtwai Alsubai, Abdullah Alqahtani, Abed Alanazi, Laith Abualigah:
    Leveraging quantum-inspired chimp optimization and deep neural networks for enhanced profit forecasting in financial accounting systems.
• 
  • 
  • 
  • 
  • 
    Lei Yang, Jianzhong Cao, Weining Chen, Hao Wang, Lang He:
    An efficient multi-scale transformer for satellite image dehazing.
• 
  • 
  • 
  • 
  • 
    Lin Li, Hua Wang, Yepeng Liu, Fan Zhang:
    Probabilistic interval prediction method based on shape-adaptive quantile regression.
• 
  • 
  • 
  • 
  • 
    Yeoung Je Choi, Gyeong Taek Lee, Chang Ouk Kim:
    SAFE: Unsupervised image feature extraction using self-attention based feature extraction network.
• 
  • 
  • 
  • 
  • 
    José Luis Morillo-Salas, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
    The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification.
• 
  • 
  • 
  • 
  • 
    Sangeeta Duhan, Preeti Gulia, Nasib Singh Gill, Mohammad A. Yahya, Sangeeta Yadav, Mohamed M. Hassan, Hassan Alsberi, Piyush Kumar Shukla:
    An analysis to investigate plant disease identification based on machine learning techniques.
• 
  • 
  • 
  • 
  • 
    Meesala Shobha Rani, Sumathy Subramanian:
    Meta heuristic approaches for sentiment analysis.
• 
  • 
  • 
  • 
  • 
    Leonardo Trujillo, Daniel E. Hernández, Adrian Rodriguez, Omar Monroy, Omar M. Villanueva:
    Effects of feature reduction on emotion recognition using EEG signals and machine learning.
• 
  • 
  • 
  • 
  • 
    Dongeon Kim, Qinglong Li, Dongsoo Jang, Jaekyeong Kim:
    AXCF: Aspect-based collaborative filtering for explainable recommendations.
• 
  • 
  • 
  • 
  • 
    Iti Chaturvedi, Ranjan Satapathy, Curtis Lynch, Erik Cambria:
    Predicting word vectors for microtext.
• 
  • 
  • 
  • 
  • 
    Yiyin Zhou, Yanrong Hu, Hongjiu Liu, Ping Huang, Dan Dai:
    Linking negative herding effect to online public opinion: A new BiGADG approach for sentiment classification.
• 
  • 
  • 
  • 
  • 
    Jinglin Zhang, Bo Shen, Tao Wang, Yu Zhong:
    A semantic guide-based embedding method for knowledge graph completion.
• 
  • 
  • 
  • 
  • 
    Hatice Nizam Ozogur, Zeynep Orman:
    A heuristic-based hybrid sampling method using a combination of SMOTE and ENN for imbalanced health data.
• 
  • 
  • 
  • 
  • 
    Bahareh Amirshahi, Salim Lahmiri:
    Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data.

Volume 41, Number 9, September 2024

Review

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  • 
  • 
  • 
  • 
    Ana Fatima, Sarfaraz Masood:
    Machine learning approaches for neurological disease prediction: A systematic review.

Original Article

• 
  • 
  • 
  • 
  • 
    Shashi Shekhar Kumar, Sonali Agarwal:
    Rule based complex event processing for IoT applications: Review, classification and challenges.
• 
  • 
  • 
  • 
  • 
    Esraa Hassan, M. Shamim Hossain, Samir Elmuogy, Ahmed Ghoneim, Khalid Al Mutib, Abeer Saber:
    Ultimate pose estimation: A comparative study.
• 
  • 
  • 
  • 
  • 
    Hamdan Al Jowair, Mansour Alsulaiman, Ghulam Muhammad:
    Multi-focal channel attention for medical image segmentation.
• 
  • 
  • 
  • 
  • 
    Xingzhu Liang, Jian Zhang, Erhu Liu, Xianjin Fang:
    DFEF: Diversify feature enhancement and fusion for online knowledge distillation.
• 
  • 
  • 
  • 
  • 
    Alexander Mulet de los Reyes, Victoria Hyde Lord, María Elena Buemi, Daniel Gandía, Luís Gómez Déniz, Maikel Noriega Alemán, Cecilia Suárez:
    Combined use of radiomics and artificial neural networks for the three-dimensional automatic segmentation of glioblastoma multiforme.
• 
  • 
  • 
  • 
  • 
    Zihan Yao, Yanpeng Qu, Longzhi Yang, Yi Tan, Changjing Shang, Fei Chao, Qiang Shen:
    Local representation-based neighbourhood for robust classification.
• 
  • 
  • 
  • 
  • 
    B. S. Suresh, M. Suresh:
    Efficient customer behaviour prediction in Indian metropolitan cities for E-commerce applications.
• 
  • 
  • 
  • 
  • 
    Anita Herrera, Ángel Arroyo, Alfredo Jiménez, Álvaro Herrero:
    Forecasting hotel cancellations through machine learning.
• 
  • 
  • 
  • 
  • 
    P. Britto Corthis, G. P. Ramesh, Jayachandra Ananda Babu:
    A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT-Fog system.
• 
  • 
  • 
  • 
  • 
    Osman Taylan, Bulent Guloglu, Abdulaziz S. Alkabaa, Salih Sarp, Hassan M. Alidrisi, Ahmad H. Milyani, Hisham Alidrisi, Mohammed Balubaid:
    AI based fuzzy MCDM models: Comparison and evaluation of dissimilar outcomes, an application to enhance pilot recruitment process.
• 
  • 
  • 
  • 
  • 
    Sasirekha Natarajan, Smitha Kurian, Parameshachari Bidare Divakarachari, Przemyslaw Falkowski-Gilski:
    An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory.
• 
  • 
  • 
  • 
  • 
    Tiago Lima Marinho, Diego Carvalho do Nascimento, Bruno Almeida Pimentel:
    Optimization on selecting XGBoost hyperparameters using meta-learning.
• 
  • 
  • 
  • 
  • 
    R. Shobana, Rajesh Kumar, Bhavnesh Jaint:
    Nonlinear dynamical system approximation and adaptive control based on hybrid-feed-forward recurrent neural network: Simulation and stability analysis.
• 
  • 
  • 
  • 
  • 
    Muhammad Salman, Armin Haller, Sergio José Rodríguez Méndez, Usman Naseem:
    Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata.
• 
  • 
  • 
  • 
  • 
    Ramya Paramasivam, Sujata N. Patil, Srinivas Konda, K. L. Hemalatha:
    Lung cancer computed tomography image classification using Attention based Capsule Network with dispersed dynamic routing.
• 
  • 
  • 
  • 
  • 
    Subham Pal, Kanak Kalita, Salil Haldar:
    Comparison of nature-inspired algorithms in finite element-based metaheuristic optimisation of laminated shells.
• 
  • 
  • 
  • 
  • 
    Jobin Wilson, Santanu Chaudhury, Brejesh Lall:
    Multi-armed bandit based online model selection for concept-drift adaptation.
• 
  • 
  • 
  • 
  • 
    Mingjing Pei, Ningzhong Liu, Shifeng Xia:
    Robust anomaly detection in industrial images by blending global-local features.
• 
  • 
  • 
  • 
  • 
    Sadjad Rezvani, Mansoor Fateh, Hossein Khosravi:
    ABANet: Attention boundary-aware network for image segmentation.

Volume 41, Number 10, October 2024

Review

• 
  • 
  • 
  • 
  • 
    Jorge M. Arevalillo:
    Data science methods for response, incremental response and rate sensitivity to response modelling in banking.
• 
  • 
  • 
  • 
  • 
    Manmeet Kaur, Munish Kumar:
    Facial emotion recognition: A comprehensive review.

Original Article

• 
  • 
  • 
  • 
  • 
    Palvinder Singh Mann, Shailesh D. Panchal, Satvir Singh, Simran Kaur:
    A compact artificial bee colony metaheuristic for global optimization problems.
• 
  • 
  • 
  • 
  • 
    Jeongik Cho, Adam Krzyzak:
    Efficient integration of perceptual variational autoencoder into dynamic latent scale generative adversarial network.
• 
  • 
  • 
  • 
  • 
    Marisa Bernabeu, Antonio Javier Gallego, Antonio Pertusa:
    Multi-label logo recognition and retrieval based on weighted fusion of neural features.
• 
  • 
  • 
  • 
  • 
    Jinyan Chen, Shuxian Liu, Meijia Xu, Peicheng Wang:
    Enhancing depression detection: A multimodal approach with text extension and content fusion.
• 
  • 
  • 
  • 
  • 
    Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
    Generalized hop-based approaches for identifying influential nodes in social networks.
• 
  • 
  • 
  • 
  • 
    Kapil Gupta, Varun Bajaj, Deepak Kumar Jain, Amir Hussain:
    Multi-model deep learning system for screening human monkeypox using skin images.
• 
  • 
  • 
  • 
  • 
    Gazi Md Daud Iqbal, Jay M. Rosenberger, Matthew Rosenberger, Muhammad Shah Alam, Lidan Ha, Emmanuel Anoruo, Sadie Gregory, Tom Mazzone:
    A supervised learning tool for heatwave predictions using daily high summer temperatures.
• 
  • 
  • 
  • 
  • 
    Ajay Singh, Rajesh Kumar Dhanaraj, Seifedine Nimer Kadry:
    Barzilai Borwein Incremental Grey Polynomial Regression for train delay prediction.
• 
  • 
  • 
  • 
  • 
    Dosti Aziz, Dávid Sztahó:
    Automatic cross- and multi-lingual recognition of dysphonia by ensemble classification using deep speaker embedding models.
• 
  • 
  • 
  • 
  • 
    Myriam Bounhas, Bilel Elayeb, Amina Chouigui, Amir Hussain, Erik Cambria:
    Arabic text classification based on analogical proportions.
• 
  • 
  • 
  • 
  • 
    Jianbin Zheng, Chaojie Wang, Liping Huang, Yifan Gao, Ruoxi Yan, Chunbo Yang, Yang Gao, Yu Wang:
    Convolution-enhanced vision transformer method for lower limb exoskeleton locomotion mode recognition.
• 
  • 
  • 
  • 
  • 
    MyeongHoe Lee, Junho Yoon, Chang Choi:
    Adversarial attack vulnerability for multi-biometric authentication system.
• 
  • 
  • 
  • 
  • 
    Mal Hari Prasad, Swarnalatha Purushotham:
    Marine predators optimization with deep learning model for video-based facial expression recognition.
• 
  • 
  • 
  • 
  • 
    Tong Ji, Yuxin Luo, Yifeng Lin, Yuer Yang, Qian Zheng, Siwei Lian, Junjie Li:
    ImageVeriBypasser: An image verification code recognition approach based on Convolutional Neural Network.
• 
  • 
  • 
  • 
  • 
    Sasan Barak, Shima Javanmard, Reza Moghdani:
    Dual resource constrained flexible job shop scheduling with sequence-dependent setup time.
• 
  • 
  • 
  • 
  • 
    Liguo Dong, Xinliang Ye, Libin Zhuang, Ruidian Zhan, M. Shamim Hossain:
    AES software and hardware system co-design for resisting side channel attacks.
• 
  • 
  • 
  • 
  • 
    Yuanyue Feng, Yuhong Luo, Nianjiao Peng, Ben Niu:
    Crowdfunding performance prediction using feature-selection-based machine learning models.

Survey Article

• 
  • 
  • 
  • 
  • 
    Abdenour Hadid, Tanujit Chakraborty, Daniel Busby:
    When geoscience meets generative AI and large language models: Foundations, trends, and future challenges.

Volume 41, Number 11, November 2024

Review

Original Article

• 
  • 
  • 
  • 
  • 
    Liangchen Xu, Chonghui Guo:
    Imbalanced survival prediction for gastric cancer patients based on improved XGBoost with cost sensitive and focal loss.
• 
  • 
  • 
  • 
  • 
    Daniel González-Cortés, Enrique Onieva, Iker Pastor, Laura Trinchera, Jian Wu:
    Portfolio construction using explainable reinforcement learning.
• 
  • 
  • 
  • 
  • 
    V. Rathinapriya, Jeyaraj Kalaivani:
    Adaptive weighted feature fusion for multiscale atrous convolution-based 1DCNN with dilated LSTM-aided fake news detection using regional language text information.
• 
  • 
  • 
  • 
  • 
    Sen Wu, Wei Wang, Yanan Song, Shuaiqi Liu:
    An EEMD-LSTM, SVR, and BP decomposition ensemble model for steel future prices forecasting.
• 
  • 
  • 
  • 
  • 
    Damir Korencic, Berta Chulvi, Xavier Bonet Casals, Alejandro H. Toselli, Mariona Taulé, Paolo Rosso:
    What distinguishes conspiracy from critical narratives? A computational analysis of oppositional discourse.
• 
  • 
  • 
  • 
  • 
    Lei Pan, Huan-Qing Wu:
    Multimodal dynamic fusion framework: Multilevel feature fusion guided by prompts.
• 
  • 
  • 
  • 
  • 
    Anil Kumar, Dinesh Singh, Rama Shankar Yadav:
    Entropy-based hybrid sampling (EHS) method to handle class overlap in highly imbalanced dataset.
• 
  • 
  • 
  • 
  • 
    GwanPil Kim, Jason J. Jung, David Camacho:
    Health indicator construction based on normal states through FFT-graph embedding.
• 
  • 
  • 
  • 
  • 
    Mohammed J. F. Alenazi:
    ResiSC: A system for building resilient smart city communication networks.
• 
  • 
  • 
  • 
  • 
    Ali Areshey, Hassan Mathkour:
    Exploring transformer models for sentiment classification: A comparison of BERT, RoBERTa, ALBERT, DistilBERT, and XLNet.
• 
  • 
  • 
  • 
  • 
    Jinhuan Ge, Heli Sun, Yezhi Lin, Liang He:
    Semantic community query in a large-scale attributed graph based on an attribute cohesiveness optimization strategy.
• 
  • 
  • 
  • 
  • 
    Meltem Kurt Pehlivanoglu, Robera Tadesse Gobosho, Muhammad Abdan Syakura, Vimal Shanmuganathan, Luis de-la-Fuente-Valentín:
    Comparative analysis of paraphrasing performance of ChatGPT, GPT-3, and T5 language models using a new ChatGPT generated dataset: ParaGPT.

Volume 41, Number 12, December 2024

Review

Original Article

• 
  • 
  • 
  • 
  • 
    Gengfei Zhang, Jiatang Cheng:
    Artificial electric field algorithm with repulsion mechanism.
• 
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  • 
  • 
  • 
    Miguel Civit, María José Escalona, Francisco Cuadrado, Salvador Reyes-de-Cozar:
    Class integration of ChatGPT and learning analytics for higher education.
• 
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  • 
  • 
  • 
    Li Cao, Maocai Wang, Massimiliano Vasile, Guangming Dai:
    Multi agent collaborative search algorithm with adaptive weights.
• 
  • 
  • 
  • 
  • 
    Jiyoon Kim, Hyeongjin Ahn, Eunil Park:
    Multi-Pop: Enhancing user engagement with content-based multimodal popularity prediction in social media.
• 
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  • 
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    Jorge Sampaio Silveira Junior, Carlos Gaspar, Jérôme Mendes, Cristiano Premebida:
    Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems.
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    Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro:
    CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography.
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    Sofía Sorbet Santiago, Jenny Alexandra Cifuentes:
    Deep learning-based gesture recognition for surgical applications: A data augmentation approach.
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    Konstantinos Kovas, Ioannis Hatzilygeroudis:
    ACRES: A framework for (semi)automatic generation of rule-based expert systems with uncertainty from datasets.
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    Xiwen Qin, Hongyu Shi, Xiaogang Dong, Siqi Zhang:
    A new method based on generative adversarial networks for multivariate time series prediction.
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  • 
    Cuiling Chen, Zhi Li:
    One-step multiple kernel _k_-means clustering based on block diagonal representation.
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    Alberto Palomo-Alonso, Vinícius G. Costa, Luis M. Moreno-Saavedra, Eugenio Lorente-Ramos, Jorge Pérez-Aracil, Carlos Eduardo Pedreira, Sancho Salcedo-Sanz:
    TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization.

Retraction

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    RETRACTION: Hybrid Multi Agent Optimization for Optimal Battery Storage Using Micro Grid.
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    RETRACTION: Internet of Agents System for Age and Gender Classification Using Grasshopper Optimization With Deep Convolution Neural Networks.
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    RETRACTION: A Predictive Typological Content Retrieval Method for Real-time Applications Using Multilingual Natural Language Processing.
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    RETRACTION: Natural Language Processing With Deep Learning Enabled Hybrid Content Retrieval Model for Digital Library Management.
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    RETRACTION: Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction.

This Article has been retracted

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    (Withdrawn) Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction.

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