An Algorithm for Global Optimization using the Taylor-Bernstein Form as Inclusion Function. - P. S. V. Nataray; Ketan Kotecha (J. Glob. Optim., 2002)

A Hybrid Genetic Algorithm for Minimum Vertex Cover Problem. - Ketan Kotecha; Nilesh Gambhava (IICAI, 2003)

Higher Order Convergence for Multidimensional Functions with a New Taylor-Bernstein Form as Inclusion Function. - Paluri S. V. Nataraj; Ketan Kotecha (Reliab. Comput., 2003)

Genetic Algorithm for Airline Crew Scheduling Problem Using Cost-Based Uniform Crossover. - Ketan Kotecha; Gopi Sanghani; Nilesh Gambhava (AACC, 2004)

Global Optimization with Higher Order Inclusion Function Forms Part 1: A Combined Taylor-Bernstein Form. - Paluri S. V. Nataraj; Ketan Kotecha (Reliab. Comput., 2004)

An Improved Interval Global Optimization Algorithm Using Higher-order Inclusion Function Forms. - Paluri S. V. Nataraj; Ketan Kotecha (J. Glob. Optim., 2005)

Multi objective genetic algorithm based adaptive QoS routing in MANET. - Ketan Kotecha; Sonal Popat (IEEE Congress on Evolutionary Computation, 2007)

ISTAR Ant Colony System - A New Approach of Solution of TSP Based on Ant Colony System Algorithm. - Ketan V. Kotecha; Sandipsinh G. Dhummad (IMECS, 2007)

Ant Colony Optimization based Dynamic Scheduling Algorithm for Real-Time Operating Systems. - Ketan Kotecha; Apurva Shah (Artificial Intelligence and Pattern Recognition, 2008)

Adaptive scheduling algorithm for real-time operating system. - Ketan Kotecha; Apurva Shah (IEEE Congress on Evolutionary Computation, 2008)

Efficient Dynamic Scheduling Algorithms for Real-Time Multiprocessor Systems. - Ketan Kotecha; Apurva Shah (HPCNCS, 2008)

Performance Comparision of Ant Colony Algorithm and Approximate Algorithm for Reporting Cell Problem Under Total Signaling Cost. - Prashant Swadas; Falguni Mehta; Ketan Kotecha (ICWN, 2009)

Routing in Ad Hoc Network Using Ant Colony Optimization. - Pimal Khanpara; Sharada Valiveti; Ketan Kotecha (FGIT-FGCN (2), 2010)

Trust Based Routing in Ad Hoc Network. - Mikita V. Talati; Sharada Valiveti; Ketan Kotecha (FGIT-FGCN (2), 2010)

Non-Repudiation in Ad Hoc Networks. - Purvi Tandel; Sharada Valiveti; K. P. Agrawal; Ketan Kotecha (FGIT-FGCN (2), 2010)

Dynamic scheduling for real-time distributed systems using ant colony optimization. - Apurva Shah; Ketan Kotecha; Dipti Shah (Int. J. Intell. Comput. Cybern., 2010)

ACO Based Dynamic Scheduling Algorithm for Real-Time Multiprocessor Systems. - Apurva Shah; Ketan Kotecha (Int. J. Grid High Perform. Comput., 2011)

Simulation-Based Performance Evaluation of Routing Protocols in Vehicular Ad-hoc Network. - Vaishali D. Khairnar; Ketan Kotecha (CoRR, 2013)

Performance of Vehicle-to-Vehicle Communication using IEEE 802.11p in Vehicular Ad-hoc Network Environment - Vaishali D. Khairnar; Ketan Kotecha (CoRR, 2013)

Parallelized ACO based Routing for Stagnation Mitigation and Avoidance of Multimedia Traffic Over MANETs. - Priyanka Sharma; Ketan Kotecha (Int. J. Appl. Evol. Comput., 2013)

A new Bollinger Band based energy efficient routing for clustered wireless sensor network. - Ankit Thakkar; Ketan Kotecha (Appl. Soft Comput., 2015)

Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques. - Jigar Patel; Sahil Shah; Priyank Thakkar; Ketan Kotecha (Expert Syst. Appl., 2015)

Predicting stock market index using fusion of machine learning techniques. - Jigar Patel; Sahil Shah; Priyank Thakkar; Ketan Kotecha (Expert Syst. Appl., 2015)

Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update. - Gopi Sanghani; Ketan Kotecha (Expert Syst. Appl., 2019)

Early anticipation of driver's maneuver in semiautonomous vehicles using deep learning. - Shilpa Gite; Himanshu Agrawal; Ketan Kotecha (Prog. Artif. Intell., 2019)

Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living. - Sharnil Pandya; Hemant Ghayvat; Anirban Sur; Muhammad Awais 008; Ketan Kotecha; Santosh Saxena; Nandita Jassal; Gayatri Pingale (Sensors, 2020)

Data augmentation using MG-GAN for improved cancer classification on gene expression data. - Poonam Chaudhari; Himanshu Agrawal; Ketan Kotecha (Soft Comput., 2020)

Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild. - Aboli Marathe; Rahee Walambe; Ketan Kotecha (ICCVW, 2021)

Multi-Layout Unstructured Invoice Documents Dataset: A Dataset for Template-Free Invoice Processing and Its Evaluation Using AI Approaches. - Dipali Baviskar; Swati Ahirrao; Ketan Kotecha (IEEE Access, 2021)

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions. - Dipali Baviskar; Swati Ahirrao; Vidyasagar M. Potdar; Ketan Kotecha (IEEE Access, 2021)

IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool. - Deepali Arun Bhanage; Ambika Vishal Pawar; Ketan Kotecha (IEEE Access, 2021)

A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions. - Chirag Dalvi; Manish Rathod; Shruti Patil; Shilpa Gite; Ketan Kotecha (IEEE Access, 2021)

A Deep Learning Model Based on BERT and Sentence Transformer for Semantic Keyphrase Extraction on Big Social Data. - R. Devika; Subramaniyaswamy Vairavasundaram; C. Sakthi Jay Mahenthar; Varadarajan Vijayakumar 001; Ketan Kotecha (IEEE Access, 2021)

Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools. - Mayur Gaikwad; Swati Ahirrao; Shraddha P. Phansalkar; Ketan Kotecha (IEEE Access, 2021)

ADMT: Advanced Driver's Movement Tracking System Using Spatio-Temporal Interest Points and Maneuver Anticipation Using Deep Neural Networks. - Shilpa Gite; Biswajeet Pradhan; Abdullah M. Alamri; Ketan Kotecha (IEEE Access, 2021)

A Novel AI-Based System for Detection and Severity Prediction of Dementia Using MRI. - Varun Jain; Om Nankar; Daryl Jacob Jerrish; Shilpa Gite; Shruti Patil; Ketan Kotecha (IEEE Access, 2021)

A Review on Explainability in Multimodal Deep Neural Nets. - Gargi Joshi; Rahee Walambe; Ketan Kotecha (IEEE Access, 2021)

Detection and Localization of Multiple Image Splicing Using MobileNet V1. - Kalyani Dhananjay Kadam; Swati Ahirrao; Ketan Kotecha; Sayan Sahu (IEEE Access, 2021)

Behavior Prediction of Traffic Actors for Intelligent Vehicle Using Artificial Intelligence Techniques: A Review. - Suresh Kolekar; Shilpa Gite; Biswajeet Pradhan; Ketan Kotecha (IEEE Access, 2021)

Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample. - Amruta Bajirao Patil; Mrinal Rahul Bachute; Ketan Kotecha (IEEE Access, 2021)

Corrections to "Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample". - Amruta Bajirao Patil; Mrinal Rahul Bachute; Ketan Kotecha (IEEE Access, 2021)

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions. - Sameer Sayyad; Satish Kumar; Arunkumar M. Bongale; Pooja Kamat; Shruti Patil; Ketan Kotecha (IEEE Access, 2021)

Neural Style Transfer: A Critical Review. - Akhil Singh; Vaibhav Jaiswal; Gaurav Joshi; Adith Sanjeeve; Shilpa Gite; Ketan Kotecha (IEEE Access, 2021)

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI. - Priyanka Tupe-Waghmare; Piyush Malpure; Ketan Kotecha; Manish Beniwal; Vani Santosh; Jitender Saini; Madhura Ingalhalikar (IEEE Access, 2021)

Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information. - Vidisha Wagle; Kulveen Kaur; Pooja Kamat; Shruti Patil; Ketan Kotecha (IEEE Access, 2021)

Improving the Robustness of AI-Based Malware Detection Using Adversarial Machine Learning. - Shruti Patil; Varadarajan Vijayakumar 001; Devika Walimbe; Siddharth Gulechha; Sushant Shenoy; Aditya Raina; Ketan Kotecha (Algorithms, 2021)

AI Based Emotion Detection for Textual Big Data: Techniques and Contribution. - Sheetal Kusal; Shruti Patil; Ketan Kotecha; Rajanikanth Aluvalu; Varadarajan Vijayakumar 001 (Big Data Cogn. Comput., 2021)

Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study. - Jyoti Choudrie; Snehasish Banerjee; Ketan Kotecha; Rahee Walambe; Hema Karende; Juhi Ameta (Comput. Hum. Behav., 2021)

Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions. - Rahee Walambe; Aboli Marathe; Ketan Kotecha; George Ghinea (Comput. Intell. Neurosci., 2021)

Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media. - Ananya Srivastava; Mohammed Hasan; Bhargav Yagnik; Rahee Walambe; Ketan Kotecha (CoRR, 2021)

Multi-Layout Invoice Document Dataset (MIDD): A Dataset for Named Entity Recognition. - Dipali Baviskar; Swati Ahirrao; Ketan Kotecha (Data, 2021)

Multi-Ideology ISIS/Jihadist White Supremacist (MIWS) Dataset for Multi-Class Extremism Text Classification. - Mayur Gaikwad; Swati Ahirrao; Shraddha P. Phansalkar; Ketan Kotecha (Data, 2021)

Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing. - Kalyani Dhananjay Kadam; Swati Ahirrao; Ketan Kotecha (Data, 2021)

An Efficient Deep Convolutional Neural Network Approach for Object Detection and Recognition Using a Multi-Scale Anchor Box in Real-Time. - Vijayakumar Varadarajan 001; Dweepna Garg; Ketan Kotecha (Future Internet, 2021)

Development and deployment of a generative model-based framework for text to photorealistic image generation. - Sharad Pande; Srishti Chouhan; Ritesh Sonavane; Rahee Walambe; George Ghinea; Ketan Kotecha (Neurocomputing, 2021)

Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. - Jyoti Choudrie; Shruti Patil; Ketan Kotecha; Nikhil Matta; Ilias O. Pappas (Inf. Syst. Frontiers, 2021)

SPECIAL ISSUE EDITORIAL: Next Generation ICTs - How distant is ubiquitous computing? - Kirti Ruikar; Ketan Kotecha; Sayali Sandbhor; Albert Thomas 003 (J. Inf. Technol. Constr., 2021)

Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning. - Ranjana Agrawal; Sucheta Kulkarni; Rahee Walambe; Ketan Kotecha (J. Digit. Imaging, 2021)

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. - Nikita Bhandari; Satyajeet P. Khare; Rahee Walambe; Ketan Kotecha (PeerJ Comput. Sci., 2021)

Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing. - Anant R. Bhatt; Amit Ganatra; Ketan Kotecha (PeerJ Comput. Sci., 2021)

Explainable stock prices prediction from financial news articles using sentiment analysis. - Shilpa Gite; Hrituja Khatavkar; Ketan Kotecha; Shilpi Srivastava; Priyam Maheshwari; Neerav Pandey (PeerJ Comput. Sci., 2021)

Stance detection with BERT embeddings for credibility analysis of information on social media. - Hema Karande; Rahee Walambe; Victor Benjamin; Ketan Kotecha; T. S. Raghu 001 (PeerJ Comput. Sci., 2021)

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning. - Pooja Mehta; Sharnil Pandya; Ketan Kotecha (PeerJ Comput. Sci., 2021)

Incremental learning of LSTM framework for sensor fusion in attitude estimation. - Parag Narkhede; Rahee Walambe; Shashi Poddar; Ketan Kotecha (PeerJ Comput. Sci., 2021)

Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease. - Arpan Srivastava; Sonakshi Jain; Ryan Miranda; Shruti Patil; Sharnil Pandya; Ketan Kotecha (PeerJ Comput. Sci., 2021)

Enhanced Network Intrusion Detection System. - Ketan Kotecha; Raghav Verma; Prahalad V. Rao; Priyanshu Prasad; Vipul Kumar Mishra; Tapas Badal; Divyansh Jain; Deepak Garg 002; Shakti Sharma (Sensors, 2021)

Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications. - Nivedita Mishra; Sharnil Pandya; Chirag I. Patel; Nagaraj G. Cholli; Kirit Modi; Pooja Shah; Madhuri Chopade; Sudha Patel; Ketan Kotecha (Sensors, 2021)

Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. - Parag Narkhede; Shashi Poddar; Rahee Walambe; George Ghinea; Ketan Kotecha (Sensors, 2021)

A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities. - Mohammad Sajid; Jagendra Singh; Raza Abbas Haidri; Mukesh Prasad; Vijayakumar Varadarajan 001; Ketan Kotecha; Deepak Garg 002 (Symmetry, 2021)

Multi-layout Invoice Document Dataset (MIDD). - Dipali Baviskar; Swati Ahirrao; Ketan Kotecha (Zenodo, 2021)

RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. - Aboli Marathe; Pushkar Jain; Rahee Walambe; Ketan Kotecha (CVPR Workshops, 2022)

Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care. - Meena Laad; Ketan Kotecha; Kailas Patil; Reshma Pise (Appl. Artif. Intell., 2022)

Levelized Multiple Workflow Allocation Strategy Under Precedence Constraints With Task Merging in IaaS Cloud Environment. - Faisal Ahmad; Mohammad Shahid; Mahfooz Alam; Zubair Ashraf; Mohammad Sajid; Ketan Kotecha; Gaurav Dhiman (IEEE Access, 2022)

Multi-Ideology Multi-Class Extremism Classification Using Deep Learning Techniques. - Mayur Gaikwad; Swati Ahirrao; Ketan Kotecha; Ajith Abraham (IEEE Access, 2022)

Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms. - Payal Kadam; Deepali Rahul Vora; Sashikala Mishra; Shruti Patil; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions. - Sheetal Kusal; Shruti Patil; Jyoti Choudrie; Ketan Kotecha; Sashikala Mishra; Ajith Abraham (IEEE Access, 2022)

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions. - Supriya V. Mahadevkar; Bharti Khemani; Shruti Patil; Ketan Kotecha; Deepali Rahul Vora; Ajith Abraham; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

Prediction of Network Traffic in Wireless Mesh Networks Using Hybrid Deep Learning Model. - Smita Mahajan; Harikrishnan R; Ketan Kotecha (IEEE Access, 2022)

Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm. - Smita Mahajan; Harikrishnan R; Ketan Kotecha (IEEE Access, 2022)

Using Genetic Algorithm in Inner Product to Resist Modular Exponentiation From Higher Order DPA Attacks. - Hridoy Jyoti Mahanta; Keshab Nath; Amit Kumar Roy; Ketan Kotecha; Varadarajan Vijayakumar 001 (IEEE Access, 2022)

Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques. - V. Uma Maheswari 001; Rajanikanth Aluvalu; M. V. V. Prasad Kantipudi; Krishna Keerthi Chennam; Ketan Kotecha; Jatinderkumar R. Saini (IEEE Access, 2022)

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation. - B. Natarajan; Rajalakshmi Elangovan; R. Elakkiya; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla; V. Subramaniyaswamy 001 (IEEE Access, 2022)

CD-SemMF: Cross-Domain Semantic Relatedness Based Matrix Factorization Model Enabled With Linked Open Data for User Cold Start Issue. - Senthilselvan Natarajan; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; V. Indragandhi; Saravanan Palani; Jatinderkumar R. Saini; Logesh Ravi (IEEE Access, 2022)

Detecting Extremism on Twitter During U.S. Capitol Riot Using Deep Learning Techniques. - Arundarasi Rajendran; Vattikuti Sree Sahithi; Chhavi Gupta; Madhuri Yadav; Swati Ahirrao; Ketan Kotecha; Mayur Gaikwad; Ajith Abraham; Nada Ahmed; Sarah M. Alhammad (IEEE Access, 2022)

Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions. - Rahul Manohar Samant; Mrinal Rahul Bachute; Shilpa Gite; Ketan Kotecha (IEEE Access, 2022)

Intelligent IoT Wind Emulation System Based on Real-Time Data Fetching Approach. - R. Raja Singh; Swapnil Banerjee; R. Manikandan; Ketan Kotecha; V. Indragandhi; Subramaniyaswamy Vairavasundaram (IEEE Access, 2022)

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT. - Priyanka Singh; Kilari Jyothsna Devi; Hiren Kumar Thakkar; Ketan Kotecha (IEEE Access, 2022)

PRMS: Design and Development of Patients' E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms. - Kirtirajsinh Zala; Hiren Kumar Thakkar; Rajendrasinh Jadeja; Priyanka Singh; Ketan Kotecha; Madhu Shukla (IEEE Access, 2022)

Short Text Classification with Tolerance-Based Soft Computing Method. - Vrushang Patel; Sheela Ramanna; Ketan Kotecha; Rahee Walambe (Algorithms, 2022)

Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic. - Felin Wilta; Allyson Li Chen Chong; Ganeshsree Selvachandran; Ketan Kotecha; Weiping Ding 001 (Appl. Soft Comput., 2022)

A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach. - Pooja Bidwai; Shilpa Gite; Kishore Pahuja; Ketan Kotecha (Big Data Cogn. Comput., 2022)

Deep Learning Approaches for Video Compression: A Bibliometric Analysis. - Ranjeet Vasant Bidwe; Sashikala Mishra; Shruti Patil; Kailash Shaw; Deepali Rahul Vora; Ketan Kotecha; Bhushan Zope (Big Data Cogn. Comput., 2022)

An Efficient Multi-Scale Anchor Box Approach to Detect Partial Faces from a Video Sequence. - Dweepna Garg; Priyanka Jain; Ketan Kotecha; Parth Goel; Vijayakumar Varadarajan 001 (Big Data Cogn. Comput., 2022)

Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. - Bhushan Zope; Sashikala Mishra; Kailash Shaw; Deepali Rahul Vora; Ketan Kotecha; Ranjeet Vasant Bidwe (Big Data Cogn. Comput., 2022)

Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting. - Farman Ali 002; Harish Kumar; Shruti Patil; Ketan Kotecha; Ameen Banjar; Ali Daud (Comput. Biol. Medicine, 2022)

A comprehensive survey on computational learning methods for analysis of gene expression data in genomics. - Nikita Bhandari; Rahee Walambe; Ketan Kotecha; Satyajeet P. Khare (CoRR, 2022)

Explainable Misinformation Detection Across Multiple Social Media Platforms. - Rahee Walambe; Ananya Srivastava; Bhargav Yagnik; Mohammed Hasan; Zainuddin Saiyed; Gargi Joshi; Ketan Kotecha (CoRR, 2022)

In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles. - Aboli Marathe; Rahee Walambe; Ketan Kotecha (CoRR, 2022)

A Review on Text-Based Emotion Detection - Techniques, Applications, Datasets, and Future Directions. - Sheetal Kusal; Shruti Patil; Jyoti Choudrie; Ketan Kotecha; Deepali Rahul Vora; Ilias O. Pappas (CoRR, 2022)

MultimodalGasData: Multimodal Dataset for Gas Detection and Classification. - Parag Narkhede; Rahee Walambe; Pulkit Chandel; Shruti Mandaokar; Ketan Kotecha (Data, 2022)

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools. - Jalaj Pachouly; Swati Ahirrao; Ketan Kotecha; Ganeshsree Selvachandran; Ajith Abraham (Eng. Appl. Artif. Intell., 2022)

A Systematic Literature Review on Applications of GAN-Synthesized Images for Brain MRI. - Sampada Tavse; Varadarajan Vijayakumar 001; Mrinal Rahul Bachute; Shilpa Gite; Ketan Kotecha (Future Internet, 2022)

Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection. - Sharnil Pandya; Anirban Sur; Ketan Kotecha (Int. J. Pervasive Comput. Commun., 2022)

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. - Anil Rahate; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Inf. Fusion, 2022)

Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets. - Ashwamegha Holkar; Rahee Walambe; Ketan Kotecha (Image Vis. Comput., 2022)

Optimized hybrid RNN model for human activity recognition in untrimmed video. - Disha Deotale; Madhushi Verma; Perumbure Suresh; Ketan Kotecha (J. Electronic Imaging, 2022)

Reversible data hiding scheme using deep learning and visual cryptography for medical image communication. - N. Rajesh Kumar; R. Bala Krishnan; Manikandan Ganesan; Subramaniyaswamy Vairavasundaram; Ketan Kotecha (J. Electronic Imaging, 2022)

An Efficient Gait Abnormality Detection Method Based on Classification. - Darshan Jani; Varadarajan Vijayakumar 001; Rushirajsinh Parmar; Mohammed Husain Bohara; Dweepna Garg; Amit Ganatra; Ketan Kotecha (J. Sens. Actuator Networks, 2022)

Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. - Shruti Patil; Varadarajan Vijayakumar 001; Supriya V. Mahadevkar; Rohan Athawade; Lakhan Maheshwari; Shrushti Kumbhare; Yash Garg; Deepak S. Dharrao; Pooja Kamat; Ketan Kotecha (J. Sens. Actuator Networks, 2022)

Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence. - Mudrakola Swapna; Uma Maheswari Viswanadhula; Rajanikanth Aluvalu; Vijayakumar Vardharajan 001; Ketan Kotecha (J. Sens. Actuator Networks, 2022)

Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity. - Ranjana Agrawal; Sucheta Kulkarni; Rahee Walambe; Madan Deshpande; Ketan Kotecha (Multim. Tools Appl., 2022)

Spatial and temporal features unified self-supervised representation learning networks. - Rahul Choudhary; Rahee Walambe; Ketan Kotecha (Robotics Auton. Syst., 2022)

ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models. - Arodh Lal Karn; Sudhakar Sengan; Ketan Kotecha; Irina Valeryevna Pustokhina; Denis Alexandrovich Pustokhin; V. Subramaniyaswamy 001; Dharam Buddhi (Robotics Auton. Syst., 2022)

Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents. - Neelabh Paul; Vaibhav Tasgaonkar; Rahee Walambe; Ketan Kotecha (Robotics, 2022)

A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling. - Satish Kumar; Tushar Kolekar; Shruti Patil; Arunkumar M. Bongale; Ketan Kotecha; Atef Zaguia; Chander Prakash (Sensors, 2022)

ECG Data Analysis with Denoising Approach and Customized CNNs. - Abhinav Mishra; Ganapathiraju Dharahas; Shilpa Gite; Ketan Kotecha; Deepika Koundal; Atef Zaguia; Manjit Kaur; Heung-No Lee (Sensors, 2022)

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data. - Sajal Misra; Satish Kumar; Sameer Sayyad; Arunkumar M. Bongale; Priya S. Jadhav; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2022)

Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI. - Manish Rathod; Chirag Dalvi; Kulveen Kaur; Shruti Patil; Shilpa Gite; Pooja Kamat; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2022)

SDPTool : A tool for creating datasets and software defect predictions. - Jalaj Pachouly; Swati Ahirrao; Ketan Kotecha (SoftwareX, 2022)

How Well Do Self-Supervised Models Transfer to Medical Imaging? - Jonah Anton; Liam Castelli; Mun Fai Chan; Mathilde Outters; Wan Hee Tang; Venus Cheung; Pancham Shukla; Rahee Walambe; Ketan Kotecha (J. Imaging, 2022)

Econometrics and Manufacturing Industries Retail Volumes Forecast. - Karan Salunkhe; Sudhanshu Suhas Gonge; Rahul Joshi; Ketan Kotecha; Vinod Basalalli; Pankaj Shah (CCWC, 2023)

A Comparative Study of DWT and DCT Along with AES Techniques for Safety Transmission of Digital Bank Cheque Image. - Sudhanshu Suhas Gonge; Rahul Joshi; Ketan Kotecha; Milind Gayakwad; Rupali Gangarde; Gagandeep Kaur; Kalyani Kadam (COMS2, 2023)

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. - Aboli Marathe; Deva Ramanan; Rahee Walambe; Ketan Kotecha (CVPR Workshops, 2023)

A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models. - Bhushan Zope; Sashikala Mishra; Sanju Tiwari; Deepali Rahul Vora; Ketan Kotecha (TEXT2KG/BiKE@ESWC, 2023)

A Decentralized Resource Allocation in Edge Computing for Secure IoT Environments. - Sasikumar Asaithambi; Logesh Ravi; Malathi Devarajan; Subramaniyaswamy Vairavasundaram; A. Selvalakshmi; Ketan Kotecha; Ajith Abraham (IEEE Access, 2023)

A Secure Big Data Storage Framework Based on Blockchain Consensus Mechanism With Flexible Finality. - Sasikumar Asaithambi; Logesh Ravi; Ketan Kotecha; Ajith Abraham; Malathi Devarajan; Subramaniyaswamy Vairavasundaram (IEEE Access, 2023)

A Generalized Multiobjective Reliability Redundancy Allocation With Uncertainties. - Zubair Ashraf; Mohammad Shahid; Faisal Ahamd; Mohammad Sajid; Ketan Kotecha; Shruti Patil (IEEE Access, 2023)

Failure Detection Using Semantic Analysis and Attention-Based Classifier Model for IT Infrastructure Log Data. - Deepali Arun Bhanage; Ambika Vishal Pawar; Ketan Kotecha; Ajith Abraham (IEEE Access, 2023)

A Review of Diagnostic Strategies for Pulmonary Embolism Prediction in Computed Tomography Pulmonary Angiograms. - Jyothi Chillapalli; Shilpa Gite; Bunny Saini; Ketan Kotecha; Sultan Alfarhood (IEEE Access, 2023)

Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design. - Sudip Kumar De; Avishek Banerjee; Koushik Majumder; Ketan Kotecha; Ajith Abraham (IEEE Access, 2023)

An Improved Boykov's Graph Cut-Based Segmentation Technique for the Efficient Detection of Cervical Cancer. - M. Anousouya Devi; R. Ezhilarasie; K. Suresh Joseph; Ketan Kotecha; Ajith Abraham; Subramaniyaswamy Vairavasundaram (IEEE Access, 2023)

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. - Rajalakshmi Elangovan; R. Elakkiya; V. Subramaniyaswamy 001; Alexey L. Prikhodko; Mikhail G. Grif; Maxim Bakaev; Ketan Kotecha; Lubna Abdel Kareim Gabralla; Ajith Abraham (IEEE Access, 2023)

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research. - Himali Ghorpade; Jayant Jagtap; Shruti Patil; Ketan Kotecha; Ajith Abraham; Natally Horvat; Jayasree Chakraborty (IEEE Access, 2023)

Explainable Misinformation Detection Across Multiple Social Media Platforms. - Gargi Joshi; Ananya Srivastava; Bhargav Yagnik; Mohammed Hasan; Zainuddin Saiyed; Lubna Abdel Kareim Gabralla; Ajith Abraham; Rahee Walambe; Ketan Kotecha (IEEE Access, 2023)

Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing. - Prathamesh Vijay Lahande; Parag Ravikant Kaveri; Jatinderkumar R. Saini; Ketan Kotecha; Sultan Alfarhood (IEEE Access, 2023)

Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions. - Stephanie S. Noronha; Mayuri A. Mehta; Dweepna Garg; Ketan Kotecha; Ajith Abraham (IEEE Access, 2023)

Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings. - S. Saravanan; Kannan Ramkumar; Kumaravelu Narasimhan; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ajith Abraham (IEEE Access, 2023)

Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review. - Tina Sharma; Anuj Kumar; Sangeeta Pant; Ketan Kotecha (IEEE Access, 2023)

Domain Adaptation: Challenges, Methods, Datasets, and Applications. - Peeyush Singhal; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (IEEE Access, 2023)

A Novel Multicriteria Optimization Technique for VLSI Floorplanning Based on Hybridized Firefly and Ant Colony Systems. - B. Srinivasan; R. Venkatesan 002; Belqasem Aljafari; Ketan Kotecha; V. Indragandhi; Subramaniyaswamy Vairavasundaram (IEEE Access, 2023)

Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy. - Rajanikant Ghate; Nayan Kalnad; Rahee Walambe; Ketan Kotecha (CoRR, 2023)

Employing Multimodal Machine Learning for Stress Detection. - Rahee Walambe; Pranav Nayak; Ashmit Bhardwaj; Ketan Kotecha (CoRR, 2023)

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research. - Shreyas Gawde; Shruti Patil; Satish Kumar; Pooja Kamat; Ketan Kotecha; Ajith Abraham (Eng. Appl. Artif. Intell., 2023)

Context-aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment. - Shilpa Gite; Ketan Kotecha; Gheorghita Ghinea (Int. J. Pervasive Comput. Commun., 2023)

An enhanced whale optimization algorithm for clustering. - Hakam Singh; Vipin Rai; Neeraj Kumar 001; Pankaj Dadheech; Ketan Kotecha; Ganeshsree Selvachandran; Ajith Abraham (Multim. Tools Appl., 2023)

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models. - Sameer Sayyad; Satish Kumar; Arunkumar M. Bongale; Ketan Kotecha; Ajith Abraham (Sensors, 2023)

Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network. - Rajalakshmi Elangovan; R. Elakkiya; Alexey L. Prikhodko; Mikhail G. Grif; Maxim A. Bakaev; Jatinderkumar R. Saini; Ketan Kotecha; V. Subramaniyaswamy 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification. - Shilpa Gite; Shruti Patil; Deepak S. Dharrao; Madhuri Yadav; Sneha Basak; Arundarasi Rajendran; Ketan Kotecha (Big Data Cogn. Comput., 2023)

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions. - Smita Khairnar; Shilpa Gite; Ketan Kotecha; Sudeep D. Thepade (Big Data Cogn. Comput., 2023)

IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model. - Bhuvaneswari Swaminathan; Saravanan Palani; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Vinay Kumar (IEEE Consumer Electron. Mag., 2023)

Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things. - Sasikumar Asaithambi; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; V. Indragandhi; Logesh Ravi; Ganeshsree Selvachandran; Ajith Abraham (Future Gener. Comput. Syst., 2023)

Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0. - Gourav Bathla; Pardeep Singh; Sunil Kumar; Madhushi Verma; Deepak Garg 002; Ketan Kotecha (Soft Comput., 2023)

Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. - Anil Rahate; Shruti Mandaokar; Pulkit Chandel; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Soft Comput., 2023)

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion. - Shreyas Gawde; Shruti Patil; Satish Kumar; Ketan Kotecha (Artif. Intell. Rev., 2023)

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment. - Deepak Kumar Jain 001; Weiping Ding 001; Ketan Kotecha (Int. J. Mach. Learn. Cybern., 2023)

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes. - Deepak Kumar Jain 001; Xudong Zhao; Germán González-Almagro; Chenquan Gan; Ketan Kotecha (Inf. Fusion, 2023)

Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI. - Nikita Bhandari; Rahee Walambe; Ketan Kotecha; Mehul Kaliya (Comput. Biol. Medicine, 2023)

Reinforcement learning for predictive maintenance: a systematic technical review. - Rajesh Siraskar; Satish Kumar; Shruti Patil; Arunkumar M. Bongale; Ketan Kotecha (Artif. Intell. Rev., 2023)

Enhanced lung image segmentation using deep learning. - Shilpa Gite; Abhinav Mishra; Ketan Kotecha (Neural Comput. Appl., 2023)

A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection. - Sheetal Kusal; Shruti Patil; Jyoti Choudrie; Ketan Kotecha; Deepali Rahul Vora; Ilias O. Pappas (Artif. Intell. Rev., 2023)

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. - Priya Bhatt; Amanrose Sethi; Vaibhav Tasgaonkar; Jugal Shroff; Isha Pendharkar; Aditya Desai; Pratyush Sinha; Aditya Deshpande; Gargi Joshi; Anil Rahate; Priyanka Jain; Rahee Walambe; et al. (Brain Informatics, 2023)

Traffic Light Detection for Self-Driving Cars using the YOLOv8 architecture. - Aditya Gupta; Ayushi Gupta; Gaurav Raj; Tanupriya Choudhury; Ayan Sar; Ketan Kotecha; Turgut Ozseven (AICCONF, 2024)

An End-to-End Framework for Multi-Docs Chatbot using Llama2. - Purvika Joshi; Subhangi Sati; Ayan Sar; Sumit Aich; Tanupriya Choudhury; Ketan Kotecha; Turgut Ozseven (AICCONF, 2024)

A Novel End-to-End Framework for Story Generation Using Deep Neural Networks. - Ayan Sar; Purvika Joshi; Subhangi Sati; Richa Choudhary; Sumit Aich; Tanupriya Choudhury; Ketan Kotecha; Turgut Ozseven (AICCONF, 2024)

Analysis of Enhanced Hidden Markov Models for Improved Stock Market Price Forecasting and Prediction. - Rishabh Saxena; Adarsh Upadhayay; Gaurav Raj; Tanupriya Choudhury; Ketan Kotecha; Ayan Sar; Turgut Ozseven (AICCONF, 2024)

Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era. - Ankit Yadav; Vinay Sharma; Gaurav Raj; Tanupriya Choudhury; Ayan Sar; Ketan Kotecha; Turgut Ozseven (AICCONF, 2024)

Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data. - Aadith Sukumar; Aditya Desai; Peeyush Singhal; Sai Gokhale; Deepak Kumar Jain 001; Rahee Walambe; Ketan Kotecha (FG, 2024)

Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE. - Shreyas Gawde; Shruti Patil; Satish Kumar; Pooja Kamat; Ketan Kotecha; Sultan Alfarhood (IEEE Access, 2024)

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems. - Aryan Alpesh Mehta; Ali Asgar Padaria; Dwij Jayesh Bavisi; Vijay Ukani; Priyank Thakkar; Rebekah Geddam; Ketan Kotecha; Ajith Abraham (IEEE Access, 2024)

An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System. - Jayshree A. Pande; Paresh Nasikkar; Ketan Kotecha; Ajith Abraham (IEEE Access, 2024)

Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions. - Vaishali Pawar; Nilima Zade; Deepali Rahul Vora; Vaishali D. Khairnar; Aurenice Oliveira; Ketan Kotecha; Ambarish Kulkarni (IEEE Access, 2024)

Enhancement of tool life using magneto-rheological fluid damping and tool wear prediction through deep learning model in milling. - Vivek Warke; Satish Kumar; Arunkumar M. Bongale; Ketan Kotecha; Ajith Abraham (Eng. Appl. Artif. Intell., 2024)

Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review. - Vivek Warke; Satish Kumar; Arunkumar M. Bongale; Pooja Kamat; Ketan Kotecha; Ganeshsree Selvachandran; Ajith Abraham (Eng. Appl. Artif. Intell., 2024)

Towards robust automated math problem solving: a survey of statistical and deep learning approaches. - Amrutesh Saraf; Pooja Kamat; Shilpa Gite; Satish Kumar; Ketan Kotecha (Evol. Intell., 2024)

Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier. - Pooja Bidwai; Shilpa Gite; Natasha Pahuja; Kishore Pahuja; Ketan Kotecha; Neha Jain; Sheela Ramanna (Inf. Fusion, 2024)

Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation. - Vivek Warke; Satish Kumar; Arunkumar M. Bongale; Ketan Kotecha (Knowl. Based Syst., 2024)

Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models. - Daryl Jacob Jerrish; Om Nankar; Shilpa Gite; Shruti Patil; Ketan Kotecha; Ganeshsree Selvachandran; Ajith Abraham (Multim. Tools Appl., 2024)

A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents. - Supriya V. Mahadevkar; Shruti Patil; Ketan Kotecha; Ajith Abraham (PeerJ Comput. Sci., 2024)

Deep Learning Framework for Liver Tumor Segmentation. - Khushi Gupta; Shrey Aggarwal; Avinash Jha; Aamir Habib; Jayant Jagtap; Shrikrishna Kolhar; Shruti Patil; Ketan Kotecha; Tanupriya Choudhury (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Corrigendum to "ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models" [Robotics and Autonomous Systems Volume 157, November 2022, 104234]. - Arodh Lal Karn; Sudhakar Sengan; Ketan Kotecha; Irina V. Pustokhina; Denis A. Pustokhin; V. Subramaniyaswamy 001; Dharam Buddhi (Robotics Auton. Syst., 2024)

Securing Industrial Control Systems From Cyber-Attacks: A Stacked Neural-Network-Based Approach. - Sujeet S. Jagtap; V. S. Shankar Sriram; Ketan Kotecha; V. Subramaniyaswamy 001 (IEEE Consumer Electron. Mag., 2024)

Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions. - Rucha Shinde; Shruti Patil; Ketan Kotecha; Vidyasagar M. Potdar; Ganeshsree Selvachandran; Ajith Abraham (Trans. Emerg. Telecommun. Technol., 2024)

Tear film breakup time-based dry eye disease detection using convolutional neural network. - Aditi Haresh Vyas; Mayuri A. Mehta; Ketan Kotecha; Sharnil Pandya; Mamoun Alazab; Thippa Reddy Gadekallu (Neural Comput. Appl., 2024)

A Systematic Review of Stemmers of Indian and Non-Indian Vernacular Languages. - Nakul R. Dave; Mayuri A. Mehta; Ketan Kotecha (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model. - Arihant Surana; Manish Rathod; Shilpa Gite; Shruti Patil; Ketan Kotecha; Ganeshsree Selvachandran; Shio Gai Quek; Ajith Abraham (Multim. Tools Appl., 2024)

Empirical evaluation of filter pruning methods for acceleration of convolutional neural network. - Dheeraj Kumar; Mayuri A. Mehta; Vivek C. Joshi; Rachana S. Oza; Ketan Kotecha; Jerry Chun-Wei Lin (Multim. Tools Appl., 2024)

Analytics of deep model-based spatiotemporal and spatial feature learning methods for surgical action classification. - Rachana S. Oza; Mayuri A. Mehta; Ketan Kotecha; Jerry Chun-Wei Lin (Multim. Tools Appl., 2024)

Knowledge-based Data Processing for Multilingual Natural Language Analysis. - Deepak Kumar Jain 001; Yamila García-Martínez Eyre; Akshi Kumar 001; Brij B. Gupta; Ketan Kotecha (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Sustainable Electronics: A Blockchain-Empowered Digital Twin-Based Governance System for Consumer Electronic Products. - Sasikumar Asaithambi; Logesh Ravi; Malathi Devarajan; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Norbert Herencsar (IEEE Trans. Consumer Electron., 2024)

Understanding the Performance of AI Algorithms in Text-Based Emotion Detection for Conversational Agents. - Sheetal Kusal; Shruti Patil; Jyoti Choudrie; Ketan V. Kotecha (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis. - Deepak Kumar Jain 001; Anil Rahate; Gargi Joshi; Rahee Walambe; Ketan Kotecha (IEEE Trans. Comput. Soc. Syst., 2024)

A-XAI: adversarial machine learning for trustable explainability. - Nishita Agrawal; Isha Pendharkar; Jugal Shroff; Jatin Raghuvanshi; Akashdip Neogi; Shruti Patil; Rahee Walambe; Ketan Kotecha (AI Ethics, 2024)

Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning. - Ranjeet Vasant Bidwe; Sashikala Mishra; Simi Kamini Bajaj; Ketan Kotecha (Int. J. Comput. Intell. Syst., 2024)

Effective Stemmers Using Trie Data Structure for Enhanced Processing of Gujarati Text. - Nakul R. Dave; Mayuri A. Mehta; Ketan Kotecha (Int. J. Comput. Intell. Syst., 2024)

Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction. - Jayaraman Kumarappan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ambarish Kulkarni (Int. J. Comput. Intell. Syst., 2024)

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions. - Bharti Khemani; Shruti Patil; Ketan Kotecha; Sudeep Tanwar (J. Big Data, 2024)

Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions. - Jayaraman Kumarappan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ambarish Kulkarni (J. Big Data, 2024)

Exploring AI-driven approaches for unstructured document analysis and future horizons. - Supriya V. Mahadevkar; Shruti Patil; Ketan Kotecha; Lim Way Soong; Tanupriya Choudhury (J. Big Data, 2024)

Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning. - Elakkiya Rajasekar; Harshiv Chandra; Nick Pears; Subramaniyaswamy Vairavasundaram; Ketan Kotecha (Biomed. Signal Process. Control., 2025)

Generative adversarial network augmented data for improved heart sound abnormality detection. - Shaunak Chakraborty; Prishita Kochhar; Shruti Patil; Ketan Kotecha; Shilpa Gite; Ganeshsree Selvachandran; Swagatam Das (Comput. Biol. Medicine, 2025)

Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint. - Sanjay Saxena; Soumyaranjan Panda; Ekta Tiwari; Rajesh Singh; Mostafa M. Fouda; Mannudeep K. Kalra; Ketan Kotecha; Luca Saba; Jasjit S. Suri (Neurocomputing, 2025)

Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation. - Naveed Ahmad Khan; Shahid Hussain 003; Wayne Spratford; Roland Goecke; Ketan Kotecha; Prashant Kumar Jamwal (J. Comput. Inf. Sci. Eng., 2025)

White blood cell segmentation using U-Net and its variants to improve leukemia diagnosis. - Vivek C. Joshi; Mayuri A. Mehta; Ketan Kotecha (Neural Comput. Appl., 2025)

Enhanced Quantum Convolutional Neural Network for Signature Authentication in Consumer Products. - Bala Krishnan Raghupathy; Subramaniyaswamy Vairavasundaram; Manikandan Ganesan; Rajesh Kumar Namachivayam; Ketan Kotecha; Norbert Herencsar (IEEE Trans. Consumer Electron., 2025)

Reinforcement Learning Based Congestion Control Technique for Wireless Mesh Networks. - Smita Mahajan; P. Sridevi Ponmalar; R. Harikrishnan; Ketan Kotecha (Int. J. Networked Distributed Comput., 2025)

Advances and applications in inverse reinforcement learning: a comprehensive review. - Saurabh Deshpande; Rahee Walambe; Ketan Kotecha; Ganeshsree Selvachandran; Ajith Abraham (Neural Comput. Appl., 2025)

Developing a negative speech emotion recognition model for safety systems using deep learning. - Shreya Jena; Sneha Basak; Himanshi Agrawal; Bunny Saini; Shilpa Gite; Ketan Kotecha; Sultan Alfarhood (J. Big Data, 2025)

Multimodal text-emoji fusion using deep neural networks for text-based emotion detection in online communication. - Sheetal Kusal; Shruti Patil; Ketan Kotecha (J. Big Data, 2025)