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Papers by pankaj kunekar

Research paper thumbnail of Transport Vehicle Demand Prediction Using Context-Aware Neural Networks

Research paper thumbnail of Horse Race Prediction Using Machine Learning Algorithms

Lecture notes in networks and systems, 2024

Research paper thumbnail of Multiclass epilepsy seizure classification using deep learning

International journal of medical engineering and informatics, 2024

Research paper thumbnail of Traffic Management System Using YOLO Algorithm

Research paper thumbnail of Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals

Research paper thumbnail of Blockchain-Based Network Optimization for Workstation Nodes

Research paper thumbnail of Convomind: A User-friendly AI Chatbot

International Journal for Research in Applied Science and Engineering Technology, Dec 30, 2023

Research paper thumbnail of A survey on the automated computer-aided diagnosis of epilepsy seizure

International journal of medical engineering and informatics, 2024

Research paper thumbnail of OCR based Cheque Validation using Image Processing

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Noise Reduction in Images Using Autoencoders

International Journal for Research in Applied Science and Engineering Technology, Dec 31, 2022

Ideally, the signals which are pure can exist only on paper. As there are some techniques for den... more Ideally, the signals which are pure can exist only on paper. As there are some techniques for denoising the provided signal up to some degree, so procedure during that time it is important that such techniques must be reconcilable with the most of the devices. This article describes a for denoising with the help of an autoencoder using image processing technique and algorithms which are based on deep learning. With the aid of autoencoders, noise reduction is not accomplished using a conventional method in which the output signal is essentially the same signal that was used as an input previously. Here the main focus remains originality as the autoencoder follows a back propagation process It is one of the approaches that focuses on the techniques described in this article are interchangeable. i.e., Working for any signal and having, reliability, efficient Ness and compatibility with more devices.

Research paper thumbnail of Integrating Artificial Intelligence and Deep Learning for Enhanced Medical Innovation

Research paper thumbnail of Content-Based Filtering Using K-Nearest Neighbor

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of AI-based Desktop Voice Assistant

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of IoT based Smart Security Helmet for Miner’s Safety

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Scrutinizing Machine Learning Models For Cancer Prediction

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Camera Detection for Blind People Using OCR

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Audio feature extraction: Foreground and Background audio separation using KNN algorithm

International Journal of Science and Research Archive

Data Science is a fairly novel field, and it predominantly deals with analysis and assortment of ... more Data Science is a fairly novel field, and it predominantly deals with analysis and assortment of data. Machine Learning is a field that goes hand in hand in this regard. Various Algorithms, which are trained on a dataset predict results based on their training, and thus the accuracy of a model is determined by the testing dataset. Foreground feature extraction is another interesting application. Using data visualization and processing, we can plot the graphs for the audio frequency and intensity. This proves useful in feature extraction using MFCC (Mel-frequency cepstral coefficients).

Research paper thumbnail of Design and Implementation of an Advanced Semester Management and Collaboration System for Academic Institutions

2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)

Research paper thumbnail of Applications of Deep Learning (DL) Techniques in Detecting Breast Cancer and Malignant Cells

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

Research paper thumbnail of Sign Language Detection using LSTM Deep Learning Model and Media Pipe Holistic Approach

2023 International Conference on Artificial Intelligence and Smart Communication (AISC)

Research paper thumbnail of Transport Vehicle Demand Prediction Using Context-Aware Neural Networks

Research paper thumbnail of Horse Race Prediction Using Machine Learning Algorithms

Lecture notes in networks and systems, 2024

Research paper thumbnail of Multiclass epilepsy seizure classification using deep learning

International journal of medical engineering and informatics, 2024

Research paper thumbnail of Traffic Management System Using YOLO Algorithm

Research paper thumbnail of Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals

Research paper thumbnail of Blockchain-Based Network Optimization for Workstation Nodes

Research paper thumbnail of Convomind: A User-friendly AI Chatbot

International Journal for Research in Applied Science and Engineering Technology, Dec 30, 2023

Research paper thumbnail of A survey on the automated computer-aided diagnosis of epilepsy seizure

International journal of medical engineering and informatics, 2024

Research paper thumbnail of OCR based Cheque Validation using Image Processing

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Noise Reduction in Images Using Autoencoders

International Journal for Research in Applied Science and Engineering Technology, Dec 31, 2022

Ideally, the signals which are pure can exist only on paper. As there are some techniques for den... more Ideally, the signals which are pure can exist only on paper. As there are some techniques for denoising the provided signal up to some degree, so procedure during that time it is important that such techniques must be reconcilable with the most of the devices. This article describes a for denoising with the help of an autoencoder using image processing technique and algorithms which are based on deep learning. With the aid of autoencoders, noise reduction is not accomplished using a conventional method in which the output signal is essentially the same signal that was used as an input previously. Here the main focus remains originality as the autoencoder follows a back propagation process It is one of the approaches that focuses on the techniques described in this article are interchangeable. i.e., Working for any signal and having, reliability, efficient Ness and compatibility with more devices.

Research paper thumbnail of Integrating Artificial Intelligence and Deep Learning for Enhanced Medical Innovation

Research paper thumbnail of Content-Based Filtering Using K-Nearest Neighbor

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of AI-based Desktop Voice Assistant

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of IoT based Smart Security Helmet for Miner’s Safety

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Scrutinizing Machine Learning Models For Cancer Prediction

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Camera Detection for Blind People Using OCR

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)

Research paper thumbnail of Audio feature extraction: Foreground and Background audio separation using KNN algorithm

International Journal of Science and Research Archive

Data Science is a fairly novel field, and it predominantly deals with analysis and assortment of ... more Data Science is a fairly novel field, and it predominantly deals with analysis and assortment of data. Machine Learning is a field that goes hand in hand in this regard. Various Algorithms, which are trained on a dataset predict results based on their training, and thus the accuracy of a model is determined by the testing dataset. Foreground feature extraction is another interesting application. Using data visualization and processing, we can plot the graphs for the audio frequency and intensity. This proves useful in feature extraction using MFCC (Mel-frequency cepstral coefficients).

Research paper thumbnail of Design and Implementation of an Advanced Semester Management and Collaboration System for Academic Institutions

2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)

Research paper thumbnail of Applications of Deep Learning (DL) Techniques in Detecting Breast Cancer and Malignant Cells

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

Research paper thumbnail of Sign Language Detection using LSTM Deep Learning Model and Media Pipe Holistic Approach

2023 International Conference on Artificial Intelligence and Smart Communication (AISC)

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