K. Kotecha

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Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation

George Ghinea, Shashi Poddar, Ketan Kotecha, 2021, Sensors.

Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques

Sahil Shah, Priyank Thakkar, Jigar Patel, 2015, Expert Syst. Appl..

An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment

Hrudaya Kumar Tripathy, Sushruta Mishra, H. K. Tripathy, 2021, Frontiers in Public Health.

Assessment of the Benefits of Information and Communication Technologies (ICT) Adoption on Downstream Supply Chain Performance of the Retail Industry

K. Kotecha, C. Prakash, Kedar Shiralkar, 2021, Logistics.

Context-aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment

K. Kotecha, G. Ghinea, S. Gite, 2021, Int. J. Pervasive Comput. Commun..

Identification and Classification of the Tea Samples by Using Sensory Mechanism and Arduino UNO

K. Kotecha, Amruta Patil, M. Bachute, 2021, Inventions.

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems

Debahuti Mishra, K. Kotecha, Kailash Shaw, 2022, Frontiers in Public Health.

Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection

Sharnil Pandya, Anirban Sur, Ketan Kotecha, 2020, Int. J. Pervasive Comput. Commun..

Formative Assessment through Computer Mediation: Enriching Student Engagement

Ketan Kotecha, Richa Mishra, K. Kotecha, 2015 .

CLUSTERING USING CEMETERY ORGANIZATION BEHAVIOR OF ANTS

K. Kotecha, Priyank Thakkar, Samir Kariya, 2014 .

A Review on Text-Based Emotion Detection - Techniques, Applications, Datasets, and Future Directions

I. Pappas, J. Choudrie, K. Kotecha, 2022, ArXiv.

Generalized Susceptible–Exposed–Infectious–Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic

K. Kotecha, Ganeshsree Selvachandran, Felin Wilta, 2022, Applied Soft Computing.

A Novel Framework for Sanskrit-Gujarati Symbolic Machine Translation System

Jatinderkumar R. Saini, Jaideepsinh K. Raulji, K. Kotecha, 2022, International Journal of Advanced Computer Science and Applications.

Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research

A. Abraham, K. Kotecha, Shylendra Kumar, 2022, ArXiv.

Deep Learning Approaches for Video Compression: A Bibliometric Analysis

Ranjeet Vasant Bidwe, K. Kotecha, Kailash Shaw, 2022, Big Data Cogn. Comput..

Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk

K. Kotecha, Sharnil Pandya, Swati Ahirrao, 2021, Frontiers in Public Health.

Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions

V. Potdar, K. Kotecha, Ganeshsree Selvachandran, 2022, ArXiv.

A New Super-Convergent Inclusion Function Form and its Use in Global Optimization

K. Kotecha, P. Nataraj, 2002 .

Social Image Content Analysis for Fashion using Deep Learning

K. Kotecha, Nidhi Kalra, S. Patil, 2022, 2022 IEEE World Conference on Applied Intelligence and Computing (AIC).

PRMS: Design and Development of Patients’ E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms

K. Kotecha, H. Thakkar, R. Jadeja, 2022, IEEE Access.

A Bibliometric Analysis of Online Extremism Detection

Shraddha P. Phansalkar, K. Kotecha, Swati Ahirrao, 2020 .

A comprehensive survey on computational learning methods for analysis of gene expression data

Satyajeet P. Khare, Rahee Walambe, K. Kotecha, 2022, Frontiers in Molecular Biosciences.

Explainable Misinformation Detection Across Multiple Social Media Platforms

Rahee Walambe, K. Kotecha, Md Musleh Uddin Hasan, 2022, IEEE Access.

Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions

K. Kotecha, R. Samant, M. Bachute, 2022, IEEE Access.

A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions

K. Kotecha, Shruti Patil, Shilpa Gite, 2021, IEEE Access.

A Novel Analysis of Readability Indices of MOOC Transcripts for e-Learner Retainment

Jatinderkumar R. Saini, Rajnish M. Rakholia, K. Kotecha, 2022, 2022 2nd International Conference on Intelligent Technologies (CONIT).

Sustainable Smart Industry: A Secure and Energy Efficient Consensus Mechanism for Artificial Intelligence Enabled Industrial Internet of Things

Jatinderkumar R. Saini, K. Kotecha, A. Sasikumar, 2022, Computational intelligence and neuroscience.

Explainable Artificial Intelligence for Intrusion Detection System

K. Kotecha, Shylendra Kumar, Kailash Shaw, 2022, Electronics.

Spatial and temporal features unified self-supervised representation learning networks

Rahee Walambe, K. Kotecha, Rahul Choudhary, 2022, Robotics Auton. Syst..

MultimodalGasData: Multimodal Dataset for Gas Detection and Classification

Rahee Walambe, K. Kotecha, Parag Narkhede, 2022, Data.

A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions

K. Kotecha, Ajith Abraham, L. A. Gabralla, 2022, IEEE Access.

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT

K. Kotecha, Priyanka Singh, H. Thakkar, 2022, IEEE Access.

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation

Bharatram S. Natarajan, K. Kotecha, Ajith Abraham, 2022, IEEE Access.

An enhanced whale optimization algorithm for clustering

A. Abraham, K. Kotecha, Ganeshsree Selvachandran, 2022, Multimedia Tools and Applications.

Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm

K. Kotecha, R. Harikrishnan, Smita Mahajan, 2022, IEEE Access.

IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms

K. Kotecha, V. Varadarajan, Kalaiselvi Bakthavatchalam, 2022, Technologies.

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data

K. Kotecha, Shylendra Kumar, A. Bongale, 2022, Sensors.

Ant Colony Optimization based Dynamic Scheduling Algorithm for Real-Time Operating Systems

Ketan Kotecha, Apurva Shah, K. Kotecha, 2008, Artificial Intelligence and Pattern Recognition.

Efficient Dynamic Scheduling Algorithms for Real-Time Multiprocessor Systems

Ketan Kotecha, Apurva Shah, K. Kotecha, 2008, HPCNCS.

Construction of linear time‐invariant equivalent plants for nonlinear continuous‐time and sampled‐data systems

K. Kotecha, P. Nataraj, 2003 .

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

A. Abraham, K. Kotecha, Ganeshsree Selvachandran, 2022, Eng. Appl. Artif. Intell..

A Systematic Literature Review on Applications of GAN-Synthesized Images for Brain MRI

K. Kotecha, M. Bachute, V. Varadarajan, 2022, Future Internet.

ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models

Arodh Lal Karn, K. Kotecha, D. Buddhi, 2022, Robotics Auton. Syst..

Iris Liveness Detection for Biometric Authentication: A Systematic Literature Review and Future Directions

Sudeep D. Thepade, Shraddha P. Phansalkar, K. Kotecha, 2021, Inventions.

A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach

K. Kotecha, Pooja Bidwai, Shilpa Gite, 2022, Big Data Cogn. Comput..

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

K. Kotecha, Shylendra Kumar, S. Patil, 2022, Artificial Intelligence Review.

Design and evaluation of an MRF damper for semi-active vibration control of the machining processes

K. Kotecha, Shylendra Kumar, A. Bongale, 2022, Journal of Instrumentation.

Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network

Jatinderkumar R. Saini, Alexey L. Prikhodko, K. Kotecha, 2022, ACM Trans. Asian Low Resour. Lang. Inf. Process..

Bibliometric Survey on Supply Chain in Healthcare using Artificial Intelligence

P. Jain, K. Kotecha, Gagandeep Kaur, 2020 .

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture

K. Kotecha, V. Subramaniyaswamy, L. A. Gabralla, 2023, IEEE Access.

In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles

Rahee Walambe, K. Kotecha, D. Jain, 2022, ArXiv.

Classification of Alzheimer’s Disease Patients Using Texture Analysis and Machine Learning

K. Kotecha, M. Bachute, Shilpa Gite, 2021, Applied System Innovation.

A novel AI-based System for Detection and Severity Prediction of Dementia using MRI

Ketan Kotecha, Varun Jain, Shilpa Gite, 2021, IEEE Access.

Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study

Rahee Walambe, J. Choudrie, K. Kotecha, 2021, Computers in Human Behavior.

A survey on computational learning methods for analysis of gene expression data in genomics

Satyajeet P. Khare, Rahee Walambe, K. Kotecha, 2022 .

Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living

Sharnil Pandya, Anirban Sur, Ketan Kotecha, 2020, Sensors.

Improved route selection algorithm based on TORA over mobile adhoc network

Vijander Singh, Ketan Kotecha, Payal M Thakrar, 2020 .

Optimization in Stagnation Avoidance of ACO based routing of Multimedia Traffic over Hybrid MANETs

Ketan Kotecha, Priyanka Sharma, K. Kotecha, 2011 .

Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode

Vineet K. Srivastava, K. Kotecha, C. Prakash, 2021, Materials.

Experimental Investigation and Optimization of Electric Discharge Machining Process Parameters Using Grey-Fuzzy-Based Hybrid Techniques

K. Kotecha, C. Prakash, V. Dhawan, 2021, Materials.

Micro-mechanical characterization of superficial layer synthesized by electric discharge machining process

K. Kotecha, C. Prakash, A. Pramanik, 2021 .

Synthesis of functionalized HAp-surface on β-Ti alloy using ball-burnishing assisted EDC process for biomedical application

K. Kotecha, C. Prakash, A. Pramanik, 2022, Archives of Civil and Mechanical Engineering.

Predicting stock market index using fusion of machine learning techniques

Sahil Shah, Priyank Thakkar, Jigar Patel, 2015, Expert Syst. Appl..

A Novel Multicast Secure MQTT Messaging Protocol Framework for IoT-Related Issues

Sharnil Pandya, Ketan Kotecha, Anirban Sur, 2021 .

Precision Agriculture: Methodologies, Practices and Applications

Sharnil Pandya, Ketan Kotecha, Anirban Sur, 2021, Proceedings of Second International Conference on Computing, Communications, and Cyber-Security.

Smart Aging Wellness Sensor Networks: A Near Real-Time Daily Activity Health Monitoring, Anomaly Detection and Alert System

Sharnil Pandya, Ketan Kotecha, Anirban Sur, 2021 .

Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA

K. Kotecha, Sharnil Pandya, D. Jain, 2021, Frontiers in Public Health.

Deep Neural Network for Lung Image Segmentation on Chest X-ray

K. Kotecha, M. Chavan, Shilpa Gite, 2022, Technologies.

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

Ketan Kotecha, Rahee Walambe, Satyajeet P. Khare, 2021, PeerJ Comput. Sci..

Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease

Sharnil Pandya, Ketan Kotecha, Shruti Patil, 2021, PeerJ Comput. Sci..

Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting

Ali Daud, H. Kumar, K. Kotecha, 2022, Comput. Biol. Medicine.

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI

Ketan Kotecha, Jitender Saini, Priyanka Tupe-Waghmare, 2021, IEEE Access.

Efficient scheduling algorithms for real-time distributed systems

Ketan Kotecha, Apurva Shah, K. Kotecha, 2010, 2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010).

Adaptive scheduling algorithm for real-time operating system

Ketan Kotecha, Apurva Shah, K. Kotecha, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Higher Order Convergence for Multidimensional Functions with a New Taylor-Bernstein Form as Inclusion Function

Ketan Kotecha, Paluri S. V. Nataraj, K. Kotecha, 2003, Reliab. Comput..

IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model

K. Kotecha, S. Palani, B. Swaminathan, 2023, IEEE Consumer Electronics Magazine.

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

K. Kotecha, Abhinav Juneja, K. Gulati, 2022, Security and Communication Networks.

Levelized Multiple Workflow Allocation Strategy Under Precedence Constraints With Task Merging in IaaS Cloud Environment

K. Kotecha, M.Aftab Alam, Mohammad Sajid, 2022, IEEE Access.

Expert Systems With Applications pdf

Ketan Kotecha, Gopi Sanghani, K. Kotecha, 2022 .

A Deep Learning Approach for Face Detection using YOLO

Amit Ganatra, Sharnil Pandya, Ketan Kotecha, 2018, 2018 IEEE Punecon.

Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample

Ketan Kotecha, Amruta Bajirao Patil, Mrinal Rahul Bachute, 2021, IEEE Access.

RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems

Rahee Walambe, K. Kotecha, Pushkar Jain, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

Ketan Kotecha, Vidyasagar Potdar, Swati Ahirrao, 2021, IEEE Access.

Data augmentation using Variational Autoencoders for improvement of respiratory disease classification

A. Nayyar, K. Kotecha, Shylendra Kumar, 2022, PloS one.

Performance Analysis of Reinforcement Learning Techniques for Augmented Experience Training Using Generative Adversarial Networks

Jatinderkumar R. Saini, K. Kotecha, Bhumika Saini, 2022, Applied Sciences.

Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity

Rahee Walambe, K. Kotecha, M. Deshpande, 2022, Multimedia Tools and Applications.

Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning

Ketan Kotecha, Rahee Walambe, Ranjana Agrawal, 2021, Journal of Digital Imaging.

A Review on Explainability in Multimodal Deep Neural Nets

Ketan Kotecha, Rahee Walambe, Gargi Joshi, 2021, IEEE Access.

Data augmentation using MG-GAN for improved cancer classification on gene expression data

Poonam Chaudhari, Ketan Kotecha, Himanshu Agrawal, 2019, Soft Computing.

A Deep Learning Model Based on BERT and Sentence Transformer for Semantic Keyphrase Extraction on Big Social Data

K. Kotecha, R. Devika, Subramaniyaswamy Vairavasundaram, 2021, IEEE Access.

Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

George Ghinea, Ketan Kotecha, Rahee Walambe, 2021, Applied System Innovation.

Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques

K. Kotecha, P. Kamat, S. Patil, 2022, Micromachines.

Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents

Rahee Walambe, K. Kotecha, Neelabh Paul, 2022, Robotics.

Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions pdf

Sheela Ramanna, Ketan Kotecha, Rahee Walambe, 2021, Inf. Fusion.

Employing Multimodal Machine Learning for Stress Detection

Rahee Walambe, K. Kotecha, Pranav Nayak, 2021, Journal of healthcare engineering.

Domain Adaptation: Challenges, Methods, Datasets, and Applications

Rahee Walambe, K. Kotecha, S. Ramanna, 2023, IEEE Access.

Development and deployment of a generative model-based framework for text to photorealistic image generation

George Ghinea, Ketan Kotecha, Rahee Walambe, 2021, Neurocomputing.

Scheduling Algorithm for Real-Time Operating Systems Using ACO

Ketan Kotecha, Apurva Shah, K. Kotecha, 2010, 2010 International Conference on Computational Intelligence and Communication Networks.

Econometrics and Manufacturing Industries Retail Volumes Forecast

K. Kotecha, S. Gonge, P. Shah, 2023, 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC).

Real-Time Automatic Investigation of Indian Roadway Animals by 3D Reconstruction Detection Using Deep Learning for R-3D-YOLOV3 Image Classification and Filtering

K. Kotecha, Sudhakar Sengan, Indragandhi Vairavasundaram, 2021, Electronics.

Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing

Ketan Kotecha, Amit Ganatra, Anant R. Bhatt, 2021, PeerJ Comput. Sci..

Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools

Ketan Kotecha, Shraddha Phansalkar, Swati Ahirrao, 2021, IEEE Access.

Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis

Ketan Kotecha, Arunkumar Bongale, Satish Kumar, 2021, Sustainability.

AI Based Emotion Detection for Textual Big Data: Techniques and Contribution

Ketan Kotecha, Rajanikanth Aluvalu, Shruti Patil, 2021, Big Data Cogn. Comput..

IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool

Ketan Kotecha, Ambika Vishal Pawar, Deepali Arun Bhanage, 2021, IEEE Access.

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions

Ketan Kotecha, Pooja Kamat, Arunkumar Bongale, 2021, IEEE Access.

An Algorithm for Global Optimization using the Taylor–Bernstein Form as Inclusion Function

K. Kotecha, P. S. V. Nataray, K. Kotecha, 2002, J. Glob. Optim..

Enhanced lung image segmentation using deep learning

K. Kotecha, Shilpa Gite, Abhinav Mishra, 2022, Neural Computing and Applications.

MRI Brain Tumor Image Classification Using a Combined Feature and Image-Based Classifier

Jatinderkumar R. Saini, K. Kotecha, S. Meenakshi, 2022, Frontiers in Psychology.

Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification

Deepak S. Dharrao, K. Kotecha, S. Patil, 2023, Big Data and Cognitive Computing.

Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions

G. Ghinea, Rahee Walambe, K. Kotecha, 2021, Comput. Intell. Neurosci..

COVID-19 pulmonary consolidations detection in chest X-ray using progressive resizing and transfer learning techniques

Anant R. Bhatt, K. Kotecha, Amit Ganatra, 2021, Heliyon.

Detection and Localization of Multiple Image Splicing using MobileNet V1

Ketan Kotecha, Kalyani Kadam, Swati Ahirrao, 2021, IEEE Access.

AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions

J. Choudrie, K. Kotecha, Ajith Abraham, 2022, IEEE Access.

Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia.

Nilkanth Mukund Deshpande, B. Pradhan, A. Alamri, 2022, Mathematical biosciences and engineering : MBE.

A Novel Multicriteria Optimization Technique for VLSI Floorplanning Based on Hybridized Firefly and Ant Colony Systems

K. Kotecha, Belqasem Aljafari, V. Indragandhi, 2023, IEEE Access.

Random Forest Bagging and X-Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data

Rajesh Kumar Dhanaraj, K. Kotecha, M. Poongodi, 2021, Wireless Communications and Mobile Computing.

Somewhat Homomorphic Encryption: Ring Learning with Error Algorithm for Faster Encryption of IoT Sensor Signal-Based Edge Devices

Rutvij H. Jhaveri, K. Kotecha, R. Jhaveri, 2022, Security and Communication Networks.

Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms

K. Kotecha, Sashikala Mishra, L. A. Gabralla, 2022, IEEE Access.

Reconfigurable and hardware efficient adaptive quantization model-based accelerator for binarized neural network

K. Kotecha, Logesh Ravi, S. V, 2022, Computers and Electrical Engineering.

Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1

K. Kotecha, K. Kadam, Swati Ahirrao, 2022, Comput. Intell. Neurosci..

Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things

K. Kotecha, Ganeshsree Selvachandran, Indragandhi Vairavasundaram, 2022, Future Gener. Comput. Syst..

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment

K. Kotecha, D. Jain, Weiping Ding, 2023, International Journal of Machine Learning and Cybernetics.

A Systematic Review on Generalized Fuzzy Numbers and Its Applications: Past, Present and Future

Wattana Viriyasitavat, K. Kotecha, Shoayee Alotaibi, 2022, Archives of Computational Methods in Engineering.

Behavior Prediction of Traffic Actors for Intelligent Vehicle Using Artificial Intelligence Techniques: A Review

B. Pradhan, K. Kotecha, S. Gite, 2021, IEEE Access.

Reversible data hiding scheme using deep learning and visual cryptography for medical image communication

K. Kotecha, V. Subramaniyaswamy, N. Rajesh Kumar, 2022, Journal of Electronic Imaging (JEI).

Improving the Robustness of AI-Based Malware Detection Using Adversarial Machine Learning

Ketan Kotecha, Shruti Patil, Varadarajan Vijayakumar, 2021, Algorithms.

Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence

K. Kotecha, Dr Rajanikanth Aluvalu, Mudrakola Swapna, 2022, J. Sens. Actuator Networks.

A Roadmap to Deep Learning: A State-of-the-Art Step Towards Machine Learning

Amit Ganatra, Ketan Kotecha, Dweepna Garg, 2018, Communications in Computer and Information Science.

Explainable stock prices prediction from financial news articles using sentiment analysis

Ketan Kotecha, Shilpa Gite, Hrituja Khatavkar, 2021, PeerJ Comput. Sci..

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

Sharnil Pandya, Ketan Kotecha, Pooja Mehta, 2021, PeerJ Comput. Sci..

Personalized spam filtering using incremental training of support vector machine

Ketan Kotecha, Gopi Sanghani, K. Kotecha, 2016, 2016 International Conference on Computing, Analytics and Security Trends (CAST).

Prediction of Network Traffic in Wireless Mesh Networks using Hybrid Deep Learning Model

Ketan Kotecha, Smita Mahajan, Harikrishnan R., 2022, IEEE Access.

Thinkers in my classrooms: Teaching critical thinking deductively

Richa Mishra, Ketan Kotecha, K. Kotecha, 2015, 2015 5th Nirma University International Conference on Engineering (NUiCONE).

Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches

K. Kotecha, M. Bachute, Ankit Vidyarthi, 2022, Computational and mathematical methods in medicine.

Case studies on simulations of flow-induced vibrations of a cooled circular cylinder: Incompressible flow solver for moving mesh problem

K. Kotecha, H. Panchal, C. Sonawane, 2022, Case Studies in Thermal Engineering.

ECG Data Analysis with Denoising Approach and Customized CNNs

K. Kotecha, D. Koundal, Atef Zaguia, 2022, Sensors.

A Generalized Multiobjective Reliability Redundancy Allocation With Uncertainties

K. Kotecha, S. Patil, Mohammad Sajid, 2023, IEEE Access.

Stance detection with BERT embeddings for credibility analysis of information on social media

T. S. Raghu, Ketan Kotecha, Rahee Walambe, 2021, PeerJ Comput. Sci..

Enhanced Network Intrusion Detection System

K. Kotecha, Deepak Garg, V. Mishra, 2021, Sensors.

Blockchain for Securing AI Applications and Open Innovations

Kirti Ruikar, Ketan Kotecha, Shruti Patil, 2021, Journal of Open Innovation: Technology, Market, and Complexity.

Knowledge-based Data Processing for Multilingual Natural Language Analysis

K. Kotecha, Akshi Kumar, D. Jain, 2023, ACM Transactions on Asian and Low-Resource Language Information Processing.

A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling

K. Kotecha, Shylendra Kumar, C. Prakash, 2022, Sensors.

Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium

K. Kotecha, R. Sah, Sharnil Pandya, 2020, Particulate Science and Technology.

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models

K. Kotecha, Shylendra Kumar, A. Bongale, 2023, Sensors.

Tool wear prediction using long short-term memory variants and hybrid feature selection techniques

P. Suganthan, K. Kotecha, Shylendra Kumar, 2022, The International Journal of Advanced Manufacturing Technology.

A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine

V. Potdar, Rahee Walambe, K. Kotecha, 2023, Healthcare Analytics.

Simulation-Based Performance Evaluation of Routing Protocols in Vehicular Ad-hoc Network pdf

Ketan Kotecha, Vaishali D. Khairnar, K. Kotecha, 2013, ArXiv.

Reinforcement learning for predictive maintenance: a systematic technical review

K. Kotecha, Shylendra Kumar, A. Bongale, 2023, Artificial Intelligence Review.

Performance evaluation for tool wear prediction based on Bi-directional, Encoder–Decoder and Hybrid Long Short-Term Memory models

K. Kotecha, A. Bongale, Satish Kumar, 2022, International Journal of Quality & Reliability Management.

NikshayChain: A Blockchain-Based Proposal for Tuberculosis Data Management in India

Rahee Walambe, K. Kotecha, Vijayakumar Varadarajan, 2022, Technologies.

Using Blockchain and Distributed Machine Learning to Manage Decentralized but Trustworthy Disease Data

Ketan Kotecha, Madhuri Hiwale, Shraddha Phanasalkar, 2021 .

Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis

Ranjeet Vasant Bidwe, K. Kotecha, Kailash Shaw, 2022, Big Data Cogn. Comput..

Multi-Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning

Shraddha P. Phansalkar, K. Kotecha, S. Rani, 2023, Computational intelligence and neuroscience.

A Hybrid Genetic Algorithm for Minimum Vertex Cover Problem

Ketan Kotecha, Nilesh Gambhava, K. Kotecha, 2003, IICAI.

Demystifying Artificial Intelligence based Digital Twins in Manufacturing- A Bibliometric Analysis of Trends and Techniques

Ketan Kotecha, Satish Kumar, Pooja Kamat, 2020 .

Data augmentation using MG-GAN for improved cancer classification on gene expression data

K. Kotecha, Poonam Chaudhari, Himanshu Agrawal, 2019, Soft Computing.

A New Compact Method Based on a Convolutional Neural Network for Classification and Validation of Tomato Plant Disease

K. Kotecha, S. Wagle, H. R., 2022, Electronics.

Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information

Kulveen Kaur, Ketan Kotecha, Shruti Patil, 2021, IEEE Access.

Kids’ Emotion Recognition Using Various Deep-Learning Models with Explainable AI

K. Kotecha, P. Kamat, L. A. Gabralla, 2022, Sensors.

Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care

K. Kotecha, M. Laad, Kailas Patil, 2022, Appl. Artif. Intell..

A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection

I. Pappas, J. Choudrie, K. Kotecha, 2023, Artificial Intelligence Review.

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

D. Ramanan, Rahee Walambe, K. Kotecha, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

How Well Do Self-Supervised Models Transfer to Medical Imaging?

Rahee Walambe, K. Kotecha, Jonah Anton, 2022, J. Imaging.

FVEstimator: A novel food volume estimator Wellness model for calorie measurement and healthy living

Shraddha P. Phansalkar, K. Kotecha, Sharnil Pandya, 2022, Measurement.

A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine

V. Potdar, Rahee Walambe, K. Kotecha, 2023, Healthcare Analytics.

Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild

Rahee Walambe, K. Kotecha, Aboli Rajan Marathe, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Multiscale Object Detection from Drone Imagery Using Ensemble Transfer Learning

Ketan Kotecha, Rahee Walambe, Aboli Marathe, 2021, Drones.

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

Rahee Walambe, K. Kotecha, Priya Bhatt, 2023, Brain Informatics.

Frequent Itemset Mining using Ant Colony Optimization

Sanjay Patel, Ketan Kotecha, K. Kotecha, 2015 .

A Prime Number based framework for Frequent Pattern Mining

Sanjay Patel, Ketan Kotecha, K. Kotecha, 2014 .

Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks

Rahee Walambe, K. Kotecha, S. Ramanna, 2022, Soft Computing.

On the Design of Secured and Reliable Dynamic Access Control Scheme of Patient E-Healthcare Records in Cloud Environment

K. Kotecha, H. Thakkar, R. Jadeja, 2022, Computational intelligence and neuroscience.

Tear film breakup time-based dry eye disease detection using convolutional neural network

M. Alazab, K. Kotecha, T. Gadekallu, 2022, Neural Computing and Applications.

A Novel Evolving Sentimental Bag-of-Words Approach for Feature Extraction to Detect Misinformation

Jatinderkumar R. Saini, K. Kotecha, Y. Barve, 2022, International Journal of Advanced Computer Science and Applications.

Detecting and Fact-checking Misinformation using “Veracity Scanning Model”

Jatinderkumar R. Saini, K. Kotecha, Y. Barve, 2022, International Journal of Advanced Computer Science and Applications.

Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI

Rahee Walambe, K. Kotecha, Nikita Bhandari, 2023, Comput. Biol. Medicine.

Credibility Analysis of User-Designed Content Using Machine Learning Techniques

Amol K. Kadam, K. Kotecha, Sharnil Pandya, 2022, Applied System Innovation.

Enhanced Security Against Volumetric DDoS Attacks Using Adversarial Machine Learning

Rahee Walambe, K. Kotecha, S. K. Singh, 2022, Wireless Communications and Mobile Computing.

Are we there Yet! Inclusion of Higher Order Thinking Skills (HOTs) in Assessment

K. Kotecha, Richa Mishra, 2016 .

Early anticipation of driver’s maneuver in semiautonomous vehicles using deep learning

H. Agrawal, K. Kotecha, S. Gite, 2019, Progress in Artificial Intelligence.

ADMT: Advanced Driver’s Movement Tracking System Using Spatio-Temporal Interest Points and Maneuver Anticipation Using Deep Neural Networks

B. Pradhan, A. Alamri, K. Kotecha, 2021, IEEE Access.

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes

K. Kotecha, Chenquan Gan, D. Jain, 2023, Information Fusion.

Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing

Ketan Kotecha, Kalyani Dhananjay Kadam, Swati Ahirrao, 2021, Data.

Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications

Kirit J. Modi, Nagaraj G. Cholli, K. Kotecha, 2021, Sensors (Basel, Switzerland).

TomConv: An Improved CNN Model for Diagnosis of Diseases in Tomato Plant Leaves

Jatinderkumar R. Saini, K. Kotecha, Preeti Baser, 2023, Procedia Computer Science.

An efficient, provably-secure DAG based consensus mechanism for industrial internet of things

K. Kotecha, V. Indragandhi, A. Sasikumar, 2022, International Journal on Interactive Design and Manufacturing (IJIDeM).

A Secure Big Data Storage Framework Based on Blockchain Consensus Mechanism With Flexible Finality

K. Kotecha, A. Sasikumar, Subramaniyaswamy Vairavasundaram, 2023, IEEE Access.

HCLA_CBiGRU: Hybrid convolutional bidirectional GRU based model for epileptic seizure detection

K. Kotecha, M. Bachute, Milind Natu, 2023, Neuroscience Informatics.

Incremental learning of LSTM framework for sensor fusion in attitude estimation

Shashi Poddar, Ketan Kotecha, Rahee Walambe, 2021, PeerJ Comput. Sci..

Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study

I. Pappas, J. Choudrie, K. Kotecha, 2021, Information Systems Frontiers.

A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities

Ketan Kotecha, Vijayakumar Varadarajan, Raza Abbas Haidri, 2021, Symmetry.

Pollution Weather System: Linear Regression and ANN-Based Approaches to Predict Air Pollution

P. Gope, K. Kotecha, Sharnil Pandya, 2021, Reference Module in Biomedical Sciences.

A Review of Maximum Power Point Tracking Algorithms for Wind Energy Conversion Systems

K. Kotecha, P. Nasikkar, Jayshree Pande, 2021, Journal of Marine Science and Engineering.

Background Invariant Faster Motion Modeling for Drone Action Recognition

Ketan Kotecha, Pratik Narang, Deepak Garg, 2021, Drones.

Detecting Extremism on Twitter During U.S. Capitol Riot Using Deep Learning Techniques

K. Kotecha, Swati Ahirrao, M. Gaikwad, 2022, IEEE Access.

Short Text Classification with Tolerance-Based Soft Computing Method

Rahee Walambe, K. Kotecha, S. Ramanna, 2022, Algorithms.

Neural Style Transfer: A Critical Review

K. Kotecha, S. Gite, Vaibhav Jaiswal, 2021, IEEE Access.

Automatic Image Colorization Using GANs

Ketan Kotecha, Rashi Dhir, Meghna Ashok, 2021 .

AHP validated literature review of forgery type dependent passive image forgery detection with explainable AI

Ketan Kotecha, Kalyani Kadam, Swati Ahirrao, 2021 .

Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder

K. Kotecha, L. A. Gabralla, S. Patil, 2023, International journal of environmental research and public health.

Genetic Algorithm for Airline Crew Scheduling Problem Using Cost-Based Uniform Crossover

Ketan Kotecha, Nilesh Gambhava, Gopi Sanghani, 2004, AACC.

Movie Recommendation System and Data Analysis

K. Kotecha, S. Gonge, Digha Jain, 2023, 2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3).

Securing AI‐based healthcare systems using blockchain technology: A state‐of‐the‐art systematic literature review and future research directions

K. Kotecha, Ganeshsree Selvachandran, S. Patil, 2023, Transactions on Emerging Telecommunications Technologies.

Customer Lifetime Value Prediction: Using Machine Learning to Forecast CLV and Enhance Customer Relationship Management

K. Kotecha, K. Singh, Ankit Kumar, 2023, 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Forecasting the behaviour of Trending Terms in Microblogs

K. Kotecha, Pradyumansinh Jadeja, 2018, 2018 IEEE Punecon.

Improving the Performance of Autonomous Driving through Deep Reinforcement Learning

K. Kotecha, Sultan Alfarhood, S. Patil, 2023, Sustainability.

ACO Based Dynamic Scheduling Algorithm for Real-Time Multiprocessor Systems

Ketan Kotecha, Apurva Shah, K. Kotecha, 2011, Int. J. Grid High Perform. Comput..

Dynamic scheduling for real-time distributed systems using ant colony optimization

Ketan Kotecha, Apurva Shah, Dipti Shah, 2010, Int. J. Intell. Comput. Cybern..

Adaptive Scheduling Algorithm for Real-Time Multiprocessor Systems

Ketan Kotecha, Apurva Shah, K. Kotecha, 2009, 2009 IEEE International Advance Computing Conference.

Autonomic Computing Based Respiratory Disorders Assessment Using Speech Parameters: A Systematic Review

K. Kotecha, B. Singh, B. Dewangan, 2023, 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Data-driven approach for AI-based crack detection: techniques, challenges, and future scope

K. Kotecha, S. Patil, D. Vora, 2023, Frontiers in Sustainable Cities.

Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation

Deepak S. Dharrao, K. Kotecha, Yash Garg, 2022, J. Sens. Actuator Networks.

A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models

K. Kotecha, Sashikala Mishra, S. Tiwari, 2023, TEXT2KG/BiKE@ESWC.

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research

K. Kotecha, Jayasree Chakraborty, N. Horvat, 2023, IEEE Access.

Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing

Jatinderkumar R. Saini, Parag Ravikant Kaveri, K. Kotecha, 2023, IEEE Access.

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

A. Abraham, K. Kotecha, Ganeshsree Selvachandran, 2022, Eng. Appl. Artif. Intell..

Electronic Equipment Waste Generated by Computers and its Effect on Public Health in India

K. Kotecha, B. Dewangan, P. Mundeja, 2023, 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Plain-Woven Areca Sheath Fiber-Reinforced Epoxy Composites: The Influence of the Fiber Fraction on Physical and Mechanical Features and Responses of the Tribo System and Machine Learning Modeling

K. Kotecha, S. Alamri, Ali A. Rajhi, 2024, ACS omega.

DBTechVoc: A POS-tagged Vocabulary of Tokens and Lemmata of the Database Technical Domain

Jatinderkumar R. Saini, K. Kotecha, Hema Gaikwad, 2022, International Journal of Advanced Computer Science and Applications.

An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model

Shio Gai Quek, K. Kotecha, Ganeshsree Selvachandran, 2023, Multim. Tools Appl..

Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson’s Disease Based on Spiral and Wave Drawings

K. Kotecha, K. Narasimhan, Subramaniyaswamy Vairavasundaram, 2023, IEEE Access.

Data Analytics Technique of Different IP Address Utilized for Cloud Services

K. Kotecha, S. Gonge, Rahul Joshi, 2023, 2023 9th International Conference on Signal Processing and Communication (ICSC).

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions

Sudeep D. Thepade, K. Kotecha, Shilpa Gite, 2023, Big Data Cogn. Comput..

Bibliometric Survey on Incremental Clustering Algorithms

Rahul Raghvendra Joshi, Preeti Mulay, Ketan Kotecha, 2019 .

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

K. Kotecha, P. Kamat, S. Patil, 2023, Eng. Appl. Artif. Intell..

An Overview of Multi-Criteria Decision Analysis and the Applications of AHP and TOPSIS Methods

K. Kotecha, Sangeeta Pant, Anuj Kumar, 2024, International Journal of Mathematical, Engineering and Management Sciences.

Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review

K. Kotecha, Sangeeta Pant, Anuj Kumar, 2023, IEEE Access.

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

K. Kotecha, S. Tanwar, S. Patil, 2024, J. Big Data.

WCVALEACH: W EIGHT AND COVERAGE BASED ENERGY EFFICIENT ADVANCED LEACH ALGORITHM

Ankit Thakkar, Ketan Kotecha, K. Kotecha, 2012 .

WALEACH: WEIGHT BASED ENERGY EFFICIENT ADVANCED LEACH ALGORITHM

Ankit Thakkar, Ketan Kotecha, K. Kotecha, 2012 .

A Systematic Review of Stemmers of Indian and Non-Indian Vernacular Languages

K. Kotecha, M. Mehta, Nakul R. Dave, 2023, ACM Trans. Asian Low Resour. Lang. Inf. Process..