Advanced Computational Intelligence: An International Journal (ACII) (original) (raw)

Journal cfp by Advanced Computational Intelligence: An International Journal (ACII)

14th International Conference on Computer Science, Engineering and Applications (ICCSEA 2024) wil... more 14th International Conference on Computer Science, Engineering and Applications (ICCSEA
2024) will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of computer science, engineering and applications. The conference
looks for significant contributions to all major fields of the computer science and information
technology in theoretical and practical aspects. The aim of the conference is to provide a platform
to the researchers and practitioners from both academia as well as industry to meet and share
cutting-edge development in the field.

5 th International Conference on Natural Language Processing and Computational Linguistics (NLPCL... more 5
th International Conference on Natural Language Processing and Computational Linguistics
(NLPCL 2024) will provide an excellent international forum for sharing knowledge and results in
theory, methodology and applications of Natural Language Computing and Computational
Linguistics. The Conference looks for significant contributions to all major fields of the Natural
Language processing and Computational Linguistics in theoretical and practical aspects.

Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the computational intelligence.

Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access p... more Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the computational intelligence.

Papers by Advanced Computational Intelligence: An International Journal (ACII)

Deep neural network as a part of deep learning algorithm is a state-of-the-art approach to find h... more Deep neural network as a part of deep learning algorithm is a state-of-the-art approach to find higher level
representations of input data which has been introduced to many practical and challenging learning
problems successfully. The primary goal of deep learning is to use large data to help solving a given task
on machine learning. We propose an methodology for image de-noising project defined by this model and
conduct training a large image database to get the experimental output.

Today Blood donation is a global interest for world to be survival lives when people are in troub... more Today Blood donation is a global interest for world to be survival lives when people are in trouble because
of natural disaster. The system provides the ability how to decide to donate the blood according to the rules
for blood donation not to meet the physicians. In this system, there are three main parts to accept blood
from donors when they want to donate according to the features like personal health. The application
facilitates to negotiate between blood donors and patients who need to get blood seriously on page without
going to Blood Banks and waiting time in queue there.

Due to the rapid growth in technology employed by the spammers, there is a need of classifiers th... more Due to the rapid growth in technology employed by the spammers, there is a need of classifiers that are
more efficient, generic and highly adaptive. Neural Network based technologies have high ability of
adaption as well as generalization. As per our knowledge, very little work has been done in this field using
neural network. We present this paper to fill this gap. This paper evaluates performance of three supervised
learning algorithms of artificial neural network by creating classifiers for the complex problem of latest
web spam pattern classification. These algorithms are Conjugate Gradient algorithm, Resilient Backpropagation learning, and Levenberg-Marquardt algorithm.

Most of students desire to know about their knowledge level to perfect their exams. In learning e... more Most of students desire to know about their knowledge level to perfect their exams. In learning environment
the fields of study overwhelm on page with collaboration or cooperation. Students can do their exercises
either individually or collaboratively with their peers. The system provides the guidelines for students'
learning system about interest fields as Java in this system. Especially the system feedbacks information
about exam to know their grades without teachers. The participants who answered the exam can discuss
with each others because of sharing e mail and list of them.

Supper-resolution (SR) methods are classified into two different methods: image registration (IR)... more Supper-resolution (SR) methods are classified into two different methods: image registration (IR)-based
methods and example-based methods. The proposed joint SR method is focused on estimating highresolution (HR) video sequences from low-resolution (LR) ones by combining the two different methods.
The IR-based SR method collects information from adjacent frames to reconstruct HR images in the video
sequence. Example-based SR methods give good textures and strong edges in the result HR video. In this
paper, IR-based and example-based SR methods are fused based on the gradient features. The proposed
joint SR method gives smaller peak signal to noise ratio than the example-based method, however it shows
better reconstruction results on high-level features such as characters in images. Experimental result of the
proposed joint SR method shows less noise and higher contrast than the example-based method.

10th International Conference on Natural Language Computing (NATL 2024) will provide an excellent... more 10th International Conference on Natural Language Computing (NATL 2024) will provide an
excellent international forum for sharing knowledge and results in theory, methodology and
applications of Natural Language Computing. The Conference looks for significant contributions to
all major fields of the Natural Language Computing in theoretical and practical aspects.

A simple design to compute accurate resonant frequencies and the electric fields of rectangular m... more A simple design to compute accurate resonant frequencies and the electric fields of rectangular microstrip
antennas using artificial neural networks (ANN) is proposed. The ANN is developed to calculate the
frequency and antenna's field. ANN is designed using multilayer perceptron networks (MLP). The results
that were obtained accord the trained and tested data of ANN models. As a result, the ANN model is
presented as a substitutional method to the detailed electromagnetic design of rectangular microstrip
antenna.

SQL injection attacks are easy way to attack the web applications and gain access to the private ... more SQL injection attacks are easy way to attack the web applications and gain access to the private data in a
database. Using different types of the SQL attacks one can easily gain access, modify the database or can
even remove it. Details such as fields and table names are required for a hacker to modify a database.
Hence, to provide the increased amount of security to users and their data, different types of techniques are
used such as Random4 algorithm, which is based on randomization and used to encrypt the user input,
Hirschberg algorithm which is a divide and conquer technique used to match the query pattern. In this
paper we are providing a comparative study and implementation of these prevention techniques using open
source software.

Data clustering is a technique for clustering set of objects into known number of groups. Several... more Data clustering is a technique for clustering set of objects into known number of groups. Several
approaches are widely applied to data clustering so that objects within the clusters are similar and objects
in different clusters are far away from each other. K-Means, is one of the familiar center based clustering
algorithms since implementation is very easy and fast convergence. However, K-Means algorithm suffers
from initialization, hence trapped in local optima. Flower Pollination Algorithm (FPA) is the global
optimization technique, which avoids trapping in local optimum solution. In this paper, a novel hybrid data
clustering approach using Flower Pollination Algorithm and K-Means (FPAKM) is proposed. The
proposed algorithm results are compared with K-Means and FPA on eight datasets. From the experimental
results, FPAKM is better than FPA and K-Means.

In this paper, we present a novel technique for localization of caption text in video frames base... more In this paper, we present a novel technique for localization of caption text in video frames based on noise
inconsistencies. Text is artificially added to the video after it has been captured and as such does not form
part of the original video graphics. Typically, the amount of noise level is uniform across the entire
captured video frame, thus, artificially embedding or overlaying text on the video introduces yet another
segment of noise level. Therefore detection of various noise levels in the video frame may signify
availability of overlaid text. Hence we exploited this property by detecting regions with various noise levels
to localize overlaid text in video frames. Experimental results obtained shows a great improvement in line
with overlaid text localization, where we have performed metric measure based on Recall, Precision and fmeasure.

This study addresses the challenge of designing an automated hydroponic system utilizing the Nutr... more This study addresses the challenge of designing an automated hydroponic system utilizing the Nutrient
Film Technique (NFT) to optimize lettuce growth. Conducted during the academic year 2022-2023 in
Barangay Lower Katingawan, the research involved fifteen participants, including hydroponic farmers,
local farmers, government employees, and future developers from various barangays in Midsayap.
The Automated Hydroponic Farming System integrates automation and IoT technologies to reduce manual
workload by regulating critical environmental factors. Key features include temperature monitoring
(mean: 3.89), humidity control (mean: 3.77), pH management (mean: 3.80), TDS monitoring (mean: 3.85),
automatic water pump timer (mean: 3.91), light indicators and alarms (mean: 3.92), and real-time SMS
updates (mean: 3.95). These features ensure precise control over the growing environment, enhancing
plant health and productivity.
Results demonstrate the system's efficiency, reliability, and sustainability. The project reduces farmer
workload, supports sustainable crop production, and promotes water savings and year-round yields.
Specifically, the system’s temperature, humidity, and pH monitoring capabilities received high approval
ratings, indicating their effectiveness in maintaining optimal growing conditions. Automating the water
pump and integrating light indicators and SMS updates further enhance operational efficiency and user
convenience.
The novelty of the proposed work lies in the comprehensive integration of environmental and nutrient
monitoring features with real-time data transmission and remote alerts, offering a significant advancement
in hydroponic farming practices. This innovative approach not only addresses existing challenges but also
provides a scalable solution that can be adopted by current and future hydroponic farmers, with potential
support from the government to enhance food security amid population growth and climate change.

Today, enormous amount of data is collected in medical databases. These databases may contain val... more Today, enormous amount of data is collected in medical databases. These databases may contain valuable
information encapsulated in nontrivial relationships among symptoms and diagnoses. Extracting such
dependencies from historical data is much easier to done by using medical systems. Such knowledge can be
used in future medical decision making. In this paper, a new algorithm based on C4.5 to mind data for
medince applications proposed and then it is evaluated against two datasets and C4.5 algorithm in terms of
accuracy.

Recently there is wide use of social media includes various opinion sites, complaints sites, gove... more Recently there is wide use of social media includes various opinion sites, complaints sites, government
sites, question-answering sites, etc. through which customer get services, opinion, information, etc. but
because of this there is more and more use of these social media right now so huge amount of data will be
created, from this huge data people get confused while taking any decision about particular problem or
services. For example, customer wants to purchase a product at that time he/she want the previous
customer feedback or opinion about that product. But if there is lots of opinion available for particular
product then that customer get confused while taking decision whether purchase that product or not. In this
case there is a need of summarization concept means that only show the short and concise manner
summary about service or product so that customer or organization easily understand and able to take
right decision fast. Our proposed framework creating such summary which contain three main phases or
steps. Firstly preprocessing is done in that stop words are removed and stemming is performed. In second
phase identify frequent features using two techniques weight constraint and association rule and at the last
phase it find semantics and generate the summary so that customer will able to take step without confusion.

Information overload is a new challenge in e-commerce sites. The problem refers to the fast growi... more Information overload is a new challenge in e-commerce sites. The problem refers to the fast growing of
information that lead following the information flow in real world be impossible. Recommender systems, as
the most successful application of information filtering, help users to find items of their interest from huge
datasets. Collaborative filtering, as the most successful technique for recommendation, utilises social
behaviours of users to detect their interests. Traditional challenges of Collaborative filtering, such as cold
start, sparcity problem, accuracy and malicious attacks, derived researchers to use new metadata to
improve accuracy of recommenders and solve the traditional problems. Trust based recommender systems
focus on trustworthy value on relation among users to make more reliable and accurate recommends. In
this paper our focus is on trust based approach and discuss about the process of making recommendation
in these method. Furthermore, we review different proposed trust metrics, as the most important step in this
process.

Career guidance for students, particularly in rural areas is a challenging issue in India. In the... more Career guidance for students, particularly in rural areas is a challenging issue in India. In the present era
of digitalization, there is a need of an automated system that can analyze a student for his/her capabilities,
suggest a career and provide related information. Keeping in mind the requirement, the present paper is an
effort in this direction. In this paper, a fuzzy based conceptual framework has been suggested. It has two
parts; in the first part a students will be analyzed for his/her capabilities and in the second part the
available courses, job aspects related to their capabilities will be suggested. To analyze a student, marks
in various subject in 10+2 standards and vocational interest in different fields have been considered and
fuzzy sets have been formed. On example basis, fuzzy inference rules have been framed for analyzing the
abilities in engineering, medical and hospitality fields only. In second part, concept of composition of
relations has been used to suggest the related courses and jobs.

Machine translation industry is working well but they have been facing problem in postediting. MT... more Machine translation industry is working well but they have been facing problem in postediting. MT-outputs
do not correct and fluent so minor or major changes need for publishing them. Postediting performs
manually by linguists, which is expensive and time consuming. So we should select good translation for
postediting among all translations. Various MT-evaluation metrics can be used for filter the good
translations for postediting. We have shown the use of various MT-evolution metrics for selection of good
translation and their comparative study.

Graphical User Interface (GUI) based systems are flourishing their popularity in the industrial a... more Graphical User Interface (GUI) based systems are flourishing their popularity in the industrial area in
present days. If it is possible to integrate the GUI based systems with a Global System for Mobile (GSM)
modem for controlling and monitoring, it will be magnificently acceptable communication system. In this
paper a method is presented on a distant machine and motor control system monitoring and controlling,
using a GSM modem and GUI. PIC microcontroller is used to bridge and synchronize the operation of GUI
and GSM systems.

This paper presents a design for rule-based machine translation system for English to Marathi lan... more This paper presents a design for rule-based machine translation system for English to Marathi language
pair. The machine translation system will take input script as English sentence and parse with the help of
Stanford parser. The Stanford parser will be used for main purposes on the source side processing, in the
machine translation system. English to Marathi Bilingual dictionary is going to be created. The system will
take the parsed output and separate the source text word by word and searches for their corresponding
target words in the bilingual dictionary. The hand coded rules are written for Marathi inflections and also
reordering rules are there. After applying the reordering rules, English sentence will be syntactically
reordered to suit Marathi language.

Recommender systems have grown to be a critical research subject after the emergence of the first... more Recommender systems have grown to be a critical research subject after the emergence of the first paper
on collaborative filtering in the Nineties. Despite the fact that educational studies on recommender systems,
has extended extensively over the last 10 years, there are deficiencies in the complete literature evaluation
and classification of that research. Because of this, we reviewed articles on recommender structures, and
then classified those based on sentiment analysis. The articles are categorized into three techniques of
recommender system, i.e.; collaborative filtering (CF), content based and context based. We have tried to
find out the research papers related to sentimental analysis based recommender system. To classify
research done by authors in this field, we have shown different approaches of recommender system based
on sentimental analysis with the help of tables. Our studies give statistics, approximately trends in
recommender structures research, and gives practitioners and researchers with perception and destiny
route on the recommender system using sentimental analysis. We hope that this paper enables all and
sundry who is interested in recommender systems research with insight for destiny.

The pervasive application of wireless sensor networks (WNSs) is challenged by the scarce energy c... more The pervasive application of wireless sensor networks (WNSs) is challenged by the scarce energy constraints
of sensor nodes. En-route filtering schemes, especially commutative cipher based en-route filtering (CCEF)
can saves energy with better filtering capacity. However, this approach suffer from fixed paths and inefficient
underlying routing designed for ad-hoc networks. Moreover, with decrease in remaining sensor nodes, the
probability of network partition increases. In this paper, we propose energy-efficient routing and re-clustering
algorithm (ERCA) to address these limitations. In proposed scheme with reduction in the number of sensor
nodes to certain thresh-hold the cluster size and transmission range dynamically maintain cluster node-density.
Performance results show that our approach demonstrate filtering-power, better energy-efficiency, and an
average gain over 285% in network lifetime.

6 th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI ... more 6
th International Conference on Natural Language Processing, Information Retrieval and AI
(NIAI 2025) will provide an excellent international forum for sharing knowledge and results in
theory, methodology and applications of Natural Language Computing, Information Retrieval and
AI.

5 th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excelle... more 5 th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.

5 th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024) will provid... more 5
th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2024)
will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of NLP & Artificial Intelligence Techniques. The Conference
looks for significant contributions to all major fields of NLP and Artificial Intelligence in
theoretical and practical aspects. The aim of the Conference is to provide a platform to the
researchers and practitioners from both academia as well as industry to meet and share
cutting-edge development in the field.

13th International Conference on Cryptography and Information Security (CRYPIS 2024) focuses on c... more 13th International Conference on Cryptography and Information Security
(CRYPIS 2024) focuses on cutting-edge results in Applied Cryptography and
Information security. It aims to bring together scientists, researchers and students to
exchange novel ideas and results in all aspects of Cryptography, Coding and Information
security.

13th International Conference on Digital Image Processing and Vision (ICDIPV 2024) is a forum for... more 13th International Conference on Digital Image Processing and Vision (ICDIPV 2024) is
a forum for presenting new advances and research results in the fields of Digital Image
Processing and vision. The conference will bring together leading researchers, engineers and
scientists in the domain of interest from around the world.

International Conference on Information Technology Convergence Services & AI (ITCAI 2024) will pr... more International Conference on Information Technology Convergence Services & AI
(ITCAI 2024) will provide an excellent international forum for sharing knowledge and new
research results in all areas of Information Technology Convergence Services & AI. The
Conference focuses on all technical and practical aspects of ITC & AI. The goal of this
conference is to bring together researchers and practitioners from academia and industry to
focus on understanding Information Technology Convergence and services, AI, and
establishing new collaborations in these areas.

3 rd International Conference on Machine Learning, NLP and Data Mining (MLDA 2024) will provide a... more 3
rd International Conference on Machine Learning, NLP and Data Mining (MLDA 2024) will
provide an excellent international forum for sharing knowledge and results in theory, methodology and
applications of Machine Learning, Natural Language Computing and Data Mining.
Authors are solicited to contribute to the conference by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe significant advances in the
following areas, but are not limited to:

8 th International Conference on Soft Computing, Mathematics and Control (SMC 2024) will provide ... more 8
th International Conference on Soft Computing, Mathematics and Control (SMC
2024) will provide an excellent international forum for sharing knowledge and results in
theory, methodology and applications impacts and challenges of Soft Computing,
Mathematics and Control. The conference documents practical and theoretical results which
make a fundamental contribution for the development of Soft Computing, Mathematics and
Control. The aim of the conference is to provide a platform to the researchers and
practitioners from both academia as well as industry to meet and share cutting-edge
development in the field.

10th International Conference on Artificial Intelligence and Applications (AI 2024) will provide ... more 10th International Conference on Artificial Intelligence and Applications (AI 2024) will provide an
excellent international forum for sharing knowledge and results in theory, methodology and applications of
Artificial Intelligence and its applications. The Conference looks for significant contributions to all major
fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the
Conference is to provide a platform to the researchers and practitioners from both academia as well as
industry to meet and share cutting-edge development in the field.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results,
projects, surveying works and industrial experiences that describe significant advances in the following
areas, but are not limited to.

5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent internationa... more 5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent
international forum for sharing knowledge and results in theory, methodology and applications
of Natural Language Computing and Big data.
Authors are solicited to contribute to the conference by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe significant advances in
the following areas, but are not limited to these topics only.

4 th International conference on AI, Machine Learning in Communications and Networks (AIMLNET 202... more 4
th International conference on AI, Machine Learning in Communications and Networks
(AIMLNET 2024) will provide an excellent international forum for sharing knowledge and
results in theory, methodology and applications of Artificial Intelligence, Machine Learning
impacts on Communications and Networks. The Conference looks for significant contributions
to all major fields of the Artificial Intelligence, Machine Learning and networks in theoretical
and practical aspects. The aim of the Conference is to provide a platform to the researchers and
practitioners from both academia as well as industry to meet and share cutting-edge
development in the field.
Authors are solicited to contribute to the Conference by submitting articles that illustrate
research results, projects, surveying works and industrial experiences that describe significant
advances in the following areas, but are not limited to.

4 th International Conference on Advances in Computing & Information Technologies (CACIT 2024) wi... more 4
th International Conference on Advances in Computing & Information Technologies (CACIT 2024)
will provide an excellent international forum for sharing knowledge and results in theory, methodology and
applications of Computing and Information Technology Trends. The Conference looks for significant
contributions to all major fields of the Computing and Information Technologies.

International Conference on Advanced Computational Intelligence (ACINT 2023) will provide an exce... more International Conference on Advanced Computational Intelligence (ACINT 2023) will provide an excellent internationalforum for sharing knowledge and results in theory, methodology and applications of Computational Intelligence. Authors are solicited to contribute to this Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the computational intelligence.

10th International Conference on Foundations of Computer Science & Technology (CST 2023) will pro... more 10th International Conference on Foundations of Computer Science & Technology (CST 2023) will
provide an excellent international forum for sharing knowledge and results in theory, methodology and
applications of Computer Science & Technology. The goal of this Conference is to bring together
researchers and practitioners from academia and industry to focus on understanding Modern Computer
Science & Technology concepts and establishing new collaborations in these areas.
Authors are solicited to contribute to the Conference by submitting articles that illustrate research results,
projects, surveying works and industrial experiences that describe significant advances in the areas of
Computer Science & Technology.

9 th International conference on Advanced Computing (ADCOM 2023) will provide an excellent intern... more 9 th International conference on Advanced Computing (ADCOM 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Conference focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc.

10th International Conference on Cybernetics & Informatics (CYBI 2023) is a forum for presenting... more 10th International Conference on Cybernetics & Informatics (CYBI 2023) is a forum for presenting new advances and research results in the fields of information, control and system theory, understands the design and function of any system and the relationship among these applications. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. This conference aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.

3rd International Conference on NLP & Text Mining (NLTM 2023) will provide an excellentinternatio... more 3rd International Conference on NLP & Text Mining (NLTM 2023) will provide an excellentinternational forum for sharing knowledge and results in theory, methodology and applicationsof Natural Language Processing and Text Mining. Authors are solicited to contribute to theconference by submitting articles that illustrate research results, projects, surveying works andindustrial experiences that describe significant advances in the following areas, but are notlimited to these topics only.

12th International Conference on Advanced Computer Science and Information Technology (ICAIT 2023... more 12th International Conference on Advanced Computer Science and Information Technology (ICAIT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Advanced Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

ACII, 2023

4th International Conference on Natural Language Processing and Applications (NLPA 2023) will pro... more 4th International Conference on Natural Language Processing and Applications (NLPA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and its applications. The Conference looks for significant contributions to all major fields of the Natural Language processing in theoretical and practical aspects. Aurdors are solicited to contribute to rde conference by submitting articles rdat illustrate research results, projects, surveying works and industrial experiences rdat describe significant advances in rde following areas, but are not limited to.

Advanced Computational Intelligence: An International Journal (ACII), 2023

International Journal on Foundations of Computer Science & Technology (IJFCST) is a Bi-monthly pe... more International Journal on Foundations of Computer Science & Technology (IJFCST) is a Bi-monthly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Foundations of Computer Science & Technology. Over the last decade, there has been an explosion in the field of computer science to solve various problems from mathematics to engineering. This journal aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals. Topics of interest include, but are not limited to the following: