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Ketan V. Kotecha
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2020 – today
- 2025
[j168]Elakkiya Rajasekar, Harshiv Chandra
, Nick Pears, Subramaniyaswamy Vairavasundaram, Ketan Kotecha:
Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning. Biomed. Signal Process. Control. 102: 107268 (2025)- [j167]Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, Rajesh Singh, Mostafa M. Fouda, Mannudeep K. Kalra, Ketan Kotecha, Luca Saba, Jasjit S. Suri:
Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint. Neurocomputing 620: 129220 (2025) - [j166]Naveed Ahmad Khan, Shahid Hussain, Wayne Spratford, Roland Goecke, Ketan Kotecha, Prashant Kumar Jamwal:
Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation. J. Comput. Inf. Sci. Eng. 25(1) (2025) - 2024
- [j165]Aryan Alpesh Mehta, Ali Asgar Padaria, Dwij Jayesh Bavisi, Vijay Ukani, Priyank Thakkar, Rebekah Geddam, Ketan Kotecha, Ajith Abraham:
Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems. IEEE Access 12: 643-678 (2024) - [j164]Jayshree A. Pande, Paresh Nasikkar, Ketan Kotecha, Ajith Abraham:
An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System. IEEE Access 12: 10160-10171 (2024) - [j163]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Sultan Alfarhood:
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE. IEEE Access 12: 29345-29361 (2024) - [j162]Vaishali Pawar, Nilima Zade, Deepali Rahul Vora, Vaishali D. Khairnar, Aurenice Oliveira, Ketan Kotecha, Ambarish Kulkarni:
Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions. IEEE Access 12: 183937-183960 (2024) - [j161]Nishita Agrawal, Isha Pendharkar, Jugal Shroff, Jatin Raghuvanshi, Akashdip Neogi, Shruti Patil, Rahee Walambe, Ketan Kotecha:
A-XAI: adversarial machine learning for trustable explainability. AI Ethics 4(4): 1143-1174 (2024) - [j160]Sujeet S. Jagtap, V. S. Shankar Sriram, Ketan Kotecha, V. Subramaniyaswamy:
Securing Industrial Control Systems From Cyber-Attacks: A Stacked Neural-Network-Based Approach. IEEE Consumer Electron. Mag. 13(1): 30-38 (2024) - [j159]Vivek Warke, Satish Kumar, Arunkumar M. Bongale, Pooja Kamat, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham:
Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review. Eng. Appl. Artif. Intell. 128: 107367 (2024) - [j158]Vivek Warke, Satish Kumar, Arunkumar M. Bongale, Ketan Kotecha, Ajith Abraham:
Enhancement of tool life using magneto-rheological fluid damping and tool wear prediction through deep learning model in milling. Eng. Appl. Artif. Intell. 137: 109265 (2024) - [j157]Rucha Shinde, Shruti Patil, Ketan Kotecha, Vidyasagar M. Potdar, Ganeshsree Selvachandran, Ajith Abraham:
Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - [j156]Amrutesh Saraf, Pooja Kamat, Shilpa Gite, Satish Kumar, Ketan Kotecha:
Towards robust automated math problem solving: a survey of statistical and deep learning approaches. Evol. Intell. 17(5): 3113-3150 (2024) - [j155]Ranjeet Vasant Bidwe, Sashikala Mishra, Simi Kamini Bajaj, Ketan Kotecha:
Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning. Int. J. Comput. Intell. Syst. 17(1): 120 (2024) - [j154]Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni:
Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction. Int. J. Comput. Intell. Syst. 17(1): 267 (2024) - [j153]Nakul R. Dave, Mayuri A. Mehta, Ketan Kotecha:
Effective Stemmers Using Trie Data Structure for Enhanced Processing of Gujarati Text. Int. J. Comput. Intell. Syst. 17(1): 309 (2024) - [j152]Pooja Bidwai, Shilpa Gite, Natasha Pahuja, Kishore Pahuja, Ketan Kotecha, Neha Jain, Sheela Ramanna:
Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier. Inf. Fusion 111: 102526 (2024) - [j151]Bharti Khemani, Shruti Patil, Ketan Kotecha, Sudeep Tanwar:
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions. J. Big Data 11(1): 18 (2024) - [j150]Supriya V. Mahadevkar, Shruti Patil, Ketan Kotecha, Lim Way Soong, Tanupriya Choudhury:
Exploring AI-driven approaches for unstructured document analysis and future horizons. J. Big Data 11(1): 92 (2024) - [j149]Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni:
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions. J. Big Data 11(1): 154 (2024) - [j148]Vivek Warke, Satish Kumar, Arunkumar M. Bongale, Ketan Kotecha:
Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation. Knowl. Based Syst. 288: 111454 (2024) - [j147]Daryl Jacob Jerrish, Om Nankar, Shilpa Gite, Shruti Patil, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham:
Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models. Multim. Tools Appl. 83(7): 21281-21318 (2024) - [j146]Arihant Surana, Manish Rathod, Shilpa Gite, Shruti Patil, Ketan Kotecha, Ganeshsree Selvachandran, Shio Gai Quek, Ajith Abraham:
An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model. Multim. Tools Appl. 83(13): 38909-38929 (2024) - [j145]Rachana S. Oza, Mayuri A. Mehta, Ketan Kotecha, Jerry Chun-Wei Lin:
Analytics of deep model-based spatiotemporal and spatial feature learning methods for surgical action classification. Multim. Tools Appl. 83(17): 52275-52303 (2024) - [j144]Dheeraj Kumar, Mayuri A. Mehta, Vivek C. Joshi, Rachana S. Oza, Ketan Kotecha, Jerry Chun-Wei Lin:
Empirical evaluation of filter pruning methods for acceleration of convolutional neural network. Multim. Tools Appl. 83(18): 54699-54727 (2024) - [j143]Aditi Haresh Vyas, Mayuri A. Mehta, Ketan Kotecha, Sharnil Pandya, Mamoun Alazab, Thippa Reddy Gadekallu:
Tear film breakup time-based dry eye disease detection using convolutional neural network. Neural Comput. Appl. 36(1): 143-161 (2024) - [j142]Supriya V. Mahadevkar, Shruti Patil, Ketan Kotecha, Ajith Abraham:
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents. PeerJ Comput. Sci. 10: e1769 (2024) - [j141]Khushi Gupta, Shrey Aggarwal, Avinash Jha, Aamir Habib, Jayant Jagtap, Shrikrishna Kolhar, Shruti Patil, Ketan Kotecha, Tanupriya Choudhury:
Deep Learning Framework for Liver Tumor Segmentation. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j140]Arodh Lal Karn, Sudhakar Sengan, Ketan Kotecha, Irina V. Pustokhina, Denis A. Pustokhin, V. Subramaniyaswamy, Dharam Buddhi:
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]. Robotics Auton. Syst. 178: 104726 (2024) - [j139]Nakul R. Dave, Mayuri A. Mehta, Ketan Kotecha:
A Systematic Review of Stemmers of Indian and Non-Indian Vernacular Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(1): 18:1-18:51 (2024) - [j138]Deepak Kumar Jain, Yamila García-Martínez Eyre, Akshi Kumar, Brij B. Gupta, Ketan Kotecha:
Knowledge-based Data Processing for Multilingual Natural Language Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(5): 63 (2024) - [j137]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan V. Kotecha:
Understanding the Performance of AI Algorithms in Text-Based Emotion Detection for Conversational Agents. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(8): 121:1-121:26 (2024) - [j136]Sasikumar Asaithambi, Logesh Ravi, Malathi Devarajan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Norbert Herencsar:
Sustainable Electronics: A Blockchain-Empowered Digital Twin-Based Governance System for Consumer Electronic Products. IEEE Trans. Consumer Electron. 70(2): 4968-4975 (2024) - [j135]Deepak Kumar Jain, Anil Rahate, Gargi Joshi, Rahee Walambe, Ketan Kotecha:
Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 11(4): 4673-4680 (2024) - [c23]Purvika Joshi, Subhangi Sati, Ayan Sar, Sumit Aich, Tanupriya Choudhury, Ketan Kotecha, Turgut Ozseven:
An End-to-End Framework for Multi-Docs Chatbot using Llama2. AICCONF 2024: 232-236 - [c22]Rishabh Saxena, Adarsh Upadhayay, Gaurav Raj, Tanupriya Choudhury, Ketan Kotecha, Ayan Sar, Turgut Ozseven:
Analysis of Enhanced Hidden Markov Models for Improved Stock Market Price Forecasting and Prediction. AICCONF 2024: 237-245 - [c21]Ayan Sar, Purvika Joshi, Subhangi Sati, Richa Choudhary, Sumit Aich, Tanupriya Choudhury, Ketan Kotecha, Turgut Ozseven:
A Novel End-to-End Framework for Story Generation Using Deep Neural Networks. AICCONF 2024: 246-253 - [c20]Ankit Yadav, Vinay Sharma, Gaurav Raj, Tanupriya Choudhury, Ayan Sar, Ketan Kotecha, Turgut Ozseven:
Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era. AICCONF 2024: 254-262 - [c19]Aditya Gupta, Ayushi Gupta, Gaurav Raj, Tanupriya Choudhury, Ayan Sar, Ketan Kotecha, Turgut Ozseven:
Traffic Light Detection for Self-Driving Cars using the YOLOv8 architecture. AICCONF 2024: 263-269 - [c18]Aadith Sukumar, Aditya Desai, Peeyush Singhal, Sai Gokhale, Deepak Kumar Jain, Rahee Walambe, Ketan Kotecha:
Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data. FG 2024: 1-6 - 2023
- [j134]Rajalakshmi Elangovan, R. Elakkiya, V. Subramaniyaswamy, Alexey L. Prikhodko, Mikhail G. Grif, Maxim Bakaev, Ketan Kotecha, Lubna Abdel Kareim Gabralla, Ajith Abraham:
Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. IEEE Access 11: 2226-2238 (2023) - [j133]Peeyush Singhal, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Domain Adaptation: Challenges, Methods, Datasets, and Applications. IEEE Access 11: 6973-7020 (2023) - [j132]B. Srinivasan, R. Venkatesan, Belqasem Aljafari, Ketan Kotecha, V. Indragandhi, Subramaniyaswamy Vairavasundaram:
A Novel Multicriteria Optimization Technique for VLSI Floorplanning Based on Hybridized Firefly and Ant Colony Systems. IEEE Access 11: 14677-14692 (2023) - [j131]Zubair Ashraf, Mohammad Shahid, Faisal Ahamd, Mohammad Sajid, Ketan Kotecha, Shruti Patil:
A Generalized Multiobjective Reliability Redundancy Allocation With Uncertainties. IEEE Access 11: 21575-21599 (2023) - [j130]Gargi Joshi, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Lubna Abdel Kareim Gabralla, Ajith Abraham, Rahee Walambe, Ketan Kotecha:
Explainable Misinformation Detection Across Multiple Social Media Platforms. IEEE Access 11: 23634-23646 (2023) - [j129]Sasikumar Asaithambi, Logesh Ravi, Ketan Kotecha, Ajith Abraham, Malathi Devarajan, Subramaniyaswamy Vairavasundaram:
A Secure Big Data Storage Framework Based on Blockchain Consensus Mechanism With Flexible Finality. IEEE Access 11: 56712-56725 (2023) - [j128]S. Saravanan, Kannan Ramkumar, Kumaravelu Narasimhan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ajith Abraham:
Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings. IEEE Access 11: 68366-68378 (2023) - [j127]M. Anousouya Devi, R. Ezhilarasie, K. Suresh Joseph, Ketan Kotecha, Ajith Abraham, Subramaniyaswamy Vairavasundaram:
An Improved Boykov's Graph Cut-Based Segmentation Technique for the Efficient Detection of Cervical Cancer. IEEE Access 11: 77636-77647 (2023) - [j126]Sudip Kumar De, Avishek Banerjee, Koushik Majumder, Ketan Kotecha, Ajith Abraham:
Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design. IEEE Access 11: 99901-99917 (2023) - [j125]Deepali Arun Bhanage, Ambika Vishal Pawar, Ketan Kotecha, Ajith Abraham:
Failure Detection Using Semantic Analysis and Attention-Based Classifier Model for IT Infrastructure Log Data. IEEE Access 11: 108178-108197 (2023) - [j124]Himali Ghorpade, Jayant Jagtap, Shruti Patil, Ketan Kotecha, Ajith Abraham, Natally Horvat, Jayasree Chakraborty:
Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research. IEEE Access 11: 108727-108745 (2023) - [j123]Sasikumar Asaithambi, Logesh Ravi, Malathi Devarajan, Subramaniyaswamy Vairavasundaram, A. Selvalakshmi, Ketan Kotecha, Ajith Abraham:
A Decentralized Resource Allocation in Edge Computing for Secure IoT Environments. IEEE Access 11: 117177-117189 (2023) - [j122]Jyothi Chillapalli, Shilpa Gite, Bunny Saini, Ketan Kotecha, Sultan Alfarhood:
A Review of Diagnostic Strategies for Pulmonary Embolism Prediction in Computed Tomography Pulmonary Angiograms. IEEE Access 11: 117698-117713 (2023) - [j121]Prathamesh Vijay Lahande, Parag Ravikant Kaveri, Jatinderkumar R. Saini, Ketan Kotecha, Sultan Alfarhood:
Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing. IEEE Access 11: 127567-127577 (2023) - [j120]Stephanie S. Noronha, Mayuri A. Mehta, Dweepna Garg, Ketan Kotecha, Ajith Abraham:
Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions. IEEE Access 11: 140348-140381 (2023) - [j119]Tina Sharma, Anuj Kumar, Sangeeta Pant, Ketan Kotecha:
Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review. IEEE Access 11: 143704-143720 (2023) - [j118]Shreyas Gawde, Shruti Patil, Satish Kumar, Ketan Kotecha:
A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion. Artif. Intell. Rev. 56(5): 4711-4764 (2023) - [j117]Rajesh Siraskar, Satish Kumar, Shruti Patil, Arunkumar M. Bongale, Ketan Kotecha:
Reinforcement learning for predictive maintenance: a systematic technical review. Artif. Intell. Rev. 56(11): 12885-12947 (2023) - [j116]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Rahul Vora, Ilias O. Pappas:
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection. Artif. Intell. Rev. 56(12): 15129-15215 (2023) - [j115]Smita Khairnar, Shilpa Gite, Ketan Kotecha, Sudeep D. Thepade:
Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions. Big Data Cogn. Comput. 7(1): 37 (2023) - [j114]Shilpa Gite, Shruti Patil, Deepak S. Dharrao, Madhuri Yadav, Sneha Basak, Arundarasi Rajendran, Ketan Kotecha:
Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification. Big Data Cogn. Comput. 7(1): 45 (2023) - [j113]Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain:
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023) - [j112]Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Mehul Kaliya:
Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI. Comput. Biol. Medicine 163: 107140 (2023) - [j111]Bhuvaneswari Swaminathan, Saravanan Palani, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Vinay Kumar:
IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model. IEEE Consumer Electron. Mag. 12(2): 109-117 (2023) - [j110]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham:
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research. Eng. Appl. Artif. Intell. 123(Part A): 106139 (2023) - [j109]Sasikumar Asaithambi, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, V. Indragandhi, Logesh Ravi, Ganeshsree Selvachandran, Ajith Abraham:
Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things. Future Gener. Comput. Syst. 141: 16-27 (2023) - [j108]Shilpa Gite, Ketan Kotecha, Gheorghita Ghinea:
Context-aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment. Int. J. Pervasive Comput. Commun. 19(3): 325-342 (2023) - [j107]Deepak Kumar Jain, Xudong Zhao, Germán González-Almagro, Chenquan Gan, Ketan Kotecha:
Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes. Inf. Fusion 95: 401-414 (2023) - [j106]Deepak Kumar Jain, Weiping Ding, Ketan Kotecha:
Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment. Int. J. Mach. Learn. Cybern. 14(6): 2221-2237 (2023) - [j105]Hakam Singh, Vipin Rai, Neeraj Kumar, Pankaj Dadheech, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham:
An enhanced whale optimization algorithm for clustering. Multim. Tools Appl. 82(3): 4599-4618 (2023) - [j104]Shilpa Gite, Abhinav Mishra, Ketan Kotecha:
Enhanced lung image segmentation using deep learning. Neural Comput. Appl. 35(31): 22839-22853 (2023) - [j103]Sameer Sayyad, Satish Kumar, Arunkumar M. Bongale, Ketan Kotecha, Ajith Abraham:
Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models. Sensors 23(12): 5659 (2023) - [j102]Gourav Bathla, Pardeep Singh, Sunil Kumar, Madhushi Verma, Deepak Garg, Ketan Kotecha:
Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0. Soft Comput. 27(7): 4051-4060 (2023) - [j101]Anil Rahate, Shruti Mandaokar, Pulkit Chandel, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. Soft Comput. 27(7): 4139-4155 (2023) - [j100]Rajalakshmi Elangovan, R. Elakkiya, Alexey L. Prikhodko, Mikhail G. Grif, Maxim A. Bakaev, Jatinderkumar R. Saini, Ketan Kotecha, V. Subramaniyaswamy:
Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(1): 26:1-26:23 (2023) - [c17]Karan Salunkhe, Sudhanshu Suhas Gonge, Rahul Joshi, Ketan Kotecha, Vinod Basalalli, Pankaj Shah:
Econometrics and Manufacturing Industries Retail Volumes Forecast. CCWC 2023: 1256-1259 - [c16]Sudhanshu Suhas Gonge, Rahul Joshi, Ketan Kotecha, Milind Gayakwad, Rupali Gangarde, Gagandeep Kaur, Kalyani Kadam:
A Comparative Study of DWT and DCT Along with AES Techniques for Safety Transmission of Digital Bank Cheque Image. COMS2 2023: 70-86 - [c15]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CVPR Workshops 2023: 3318-3327 - [c14]Bhushan Zope, Sashikala Mishra, Sanju Tiwari, Deepali Rahul Vora, Ketan Kotecha:
A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models. TEXT2KG/BiKE@ESWC 2023: 70-89 - [i21]Rajanikant Ghate, Nayan Kalnad, Rahee Walambe, Ketan Kotecha:
Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy. CoRR abs/2303.07847 (2023) - [i20]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CoRR abs/2305.07528 (2023) - [i19]Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj, Ketan Kotecha:
Employing Multimodal Machine Learning for Stress Detection. CoRR abs/2306.09385 (2023) - 2022
- [j99]Meena Laad, Ketan Kotecha, Kailas Patil, Reshma Pise:
Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care. Appl. Artif. Intell. 36(1) (2022) - [j98]Hridoy Jyoti Mahanta, Keshab Nath, Amit Kumar Roy, Ketan Kotecha, Varadarajan Vijayakumar:
Using Genetic Algorithm in Inner Product to Resist Modular Exponentiation From Higher Order DPA Attacks. IEEE Access 10: 3238-3251 (2022) - [j97]Smita Mahajan, Harikrishnan R, Ketan Kotecha:
Prediction of Network Traffic in Wireless Mesh Networks Using Hybrid Deep Learning Model. IEEE Access 10: 7003-7015 (2022) - [j96]Priyanka Singh, Kilari Jyothsna Devi, Hiren Kumar Thakkar, Ketan Kotecha:
Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT. IEEE Access 10: 8974-8993 (2022) - [j95]Rahul Manohar Samant, Mrinal Rahul Bachute, Shilpa Gite, Ketan Kotecha:
Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions. IEEE Access 10: 17078-17097 (2022) - [j94]Senthilselvan Natarajan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, V. Indragandhi, Saravanan Palani, Jatinderkumar R. Saini, Logesh Ravi:
CD-SemMF: Cross-Domain Semantic Relatedness Based Matrix Factorization Model Enabled With Linked Open Data for User Cold Start Issue. IEEE Access 10: 52955-52970 (2022) - [j93]V. Uma Maheswari, Rajanikanth Aluvalu, M. V. V. Prasad Kantipudi, Krishna Keerthi Chennam, Ketan Kotecha, Jatinderkumar R. Saini:
Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques. IEEE Access 10: 54980-54990 (2022) - [j92]R. Raja Singh, Swapnil Banerjee, R. Manikandan, Ketan Kotecha, V. Indragandhi, Subramaniyaswamy Vairavasundaram:
Intelligent IoT Wind Emulation System Based on Real-Time Data Fetching Approach. IEEE Access 10: 78253-78267 (2022) - [j91]Kirtirajsinh Zala, Hiren Kumar Thakkar, Rajendrasinh Jadeja, Priyanka Singh, Ketan Kotecha, Madhu Shukla:
PRMS: Design and Development of Patients' E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms. IEEE Access 10: 85777-85791 (2022) - [j90]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Sashikala Mishra, Ajith Abraham:
AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions. IEEE Access 10: 92337-92356 (2022) - [j89]Faisal Ahmad, Mohammad Shahid, Mahfooz Alam, Zubair Ashraf, Mohammad Sajid, Ketan Kotecha, Gaurav Dhiman:
Levelized Multiple Workflow Allocation Strategy Under Precedence Constraints With Task Merging in IaaS Cloud Environment. IEEE Access 10: 92809-92827 (2022) - [j88]B. Natarajan, Rajalakshmi Elangovan, R. Elakkiya, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla, V. Subramaniyaswamy:
Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation. IEEE Access 10: 104358-104374 (2022) - [j87]Mayur Gaikwad, Swati Ahirrao, Ketan Kotecha, Ajith Abraham:
Multi-Ideology Multi-Class Extremism Classification Using Deep Learning Techniques. IEEE Access 10: 104829-104843 (2022) - [j86]Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil, Ketan Kotecha, Deepali Rahul Vora, Ajith Abraham, Lubna Abdel Kareim Gabralla:
A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions. IEEE Access 10: 107293-107329 (2022) - [j85]Smita Mahajan, Harikrishnan R, Ketan Kotecha:
Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm. IEEE Access 10: 107961-107979 (2022) - [j84]Payal Kadam, Deepali Rahul Vora, Sashikala Mishra, Shruti Patil, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms. IEEE Access 10: 122762-122785 (2022) - [j83]Arundarasi Rajendran, Vattikuti Sree Sahithi, Chhavi Gupta, Madhuri Yadav, Swati Ahirrao, Ketan Kotecha, Mayur Gaikwad, Ajith Abraham, Nada Ahmed, Sarah M. Alhammad:
Detecting Extremism on Twitter During U.S. Capitol Riot Using Deep Learning Techniques. IEEE Access 10: 133052-133077 (2022) - [j82]Vrushang Patel, Sheela Ramanna, Ketan Kotecha, Rahee Walambe:
Short Text Classification with Tolerance-Based Soft Computing Method. Algorithms 15(8): 267 (2022) - [j81]Felin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, Ketan Kotecha, Weiping Ding:
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic. Appl. Soft Comput. 123: 108973 (2022) - [j80]Dweepna Garg, Priyanka Jain, Ketan Kotecha, Parth Goel, Vijayakumar Varadarajan:
An Efficient Multi-Scale Anchor Box Approach to Detect Partial Faces from a Video Sequence. Big Data Cogn. Comput. 6(1): 9 (2022) - [j79]Ranjeet Vasant Bidwe, Sashikala Mishra, Shruti Patil, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha, Bhushan Zope:
Deep Learning Approaches for Video Compression: A Bibliometric Analysis. Big Data Cogn. Comput. 6(2): 44 (2022) - [j78]Bhushan Zope, Sashikala Mishra, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha, Ranjeet Vasant Bidwe:
Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. Big Data Cogn. Comput. 6(4): 109 (2022) - [j77]Pooja Bidwai, Shilpa Gite, Kishore Pahuja, Ketan Kotecha:
A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach. Big Data Cogn. Comput. 6(4): 152 (2022) - [j76]Farman Ali, Harish Kumar, Shruti Patil, Ketan Kotecha, Ameen Banjar, Ali Daud:
Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting. Comput. Biol. Medicine 145: 105533 (2022) - [j75]Parag Narkhede, Rahee Walambe, Pulkit Chandel, Shruti Mandaokar, Ketan Kotecha:
MultimodalGasData: Multimodal Dataset for Gas Detection and Classification. Data 7(8): 112 (2022) - [j74]Jalaj Pachouly, Swati Ahirrao, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham:
A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools. Eng. Appl. Artif. Intell. 111: 104773 (2022) - [j73]Sampada Tavse, Varadarajan Vijayakumar, Mrinal Rahul Bachute, Shilpa Gite, Ketan Kotecha:
A Systematic Literature Review on Applications of GAN-Synthesized Images for Brain MRI. Future Internet 14(12): 351 (2022) - [j72]Sharnil Pandya, Anirban Sur, Ketan Kotecha:
Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection. Int. J. Pervasive Comput. Commun. 18(4): 376-387 (2022) - [j71]Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Inf. Fusion 81: 203-239 (2022) - [j70]Ashwamegha Holkar, Rahee Walambe, Ketan Kotecha:
Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets. Image Vis. Comput. 120: 104420 (2022) - [j69]Disha Deotale, Madhushi Verma, Perumbure Suresh, Ketan Kotecha:
Optimized hybrid RNN model for human activity recognition in untrimmed video. J. Electronic Imaging 31(5) (2022) - [j68]N. Rajesh Kumar, R. Bala Krishnan, G. Manikandan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha:
Reversible data hiding scheme using deep learning and visual cryptography for medical image communication. J. Electronic Imaging 31(6) (2022) - [j67]Jonah Anton, Liam Castelli, Mun Fai Chan, Mathilde Outters, Wan Hee Tang, Venus Cheung, Pancham Shukla, Rahee Walambe, Ketan Kotecha:
How Well Do Self-Supervised Models Transfer to Medical Imaging? J. Imaging 8(12): 320 (2022) - [j66]Mudrakola Swapna, Uma Maheswari Viswanadhula, Rajanikanth Aluvalu, Vijayakumar Vardharajan, Ketan Kotecha:
Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence. J. Sens. Actuator Networks 11(1): 17 (2022) - [j65]Darshan Jani, Varadarajan Vijayakumar, Rushirajsinh Parmar, Mohammed Husain Bohara, Dweepna Garg, Amit Ganatra, Ketan Kotecha:
An Efficient Gait Abnormality Detection Method Based on Classification. J. Sens. Actuator Networks 11(3): 31 (2022) - [j64]Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak S. Dharrao, Pooja Kamat, Ketan Kotecha:
Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. J. Sens. Actuator Networks 11(4): 63 (2022) - [j63]Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, Madan Deshpande, Ketan Kotecha:
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity. Multim. Tools Appl. 81(8): 11441-11460 (2022) - [j62]Arodh Lal Karn, Sudhakar Sengan, Ketan Kotecha, Irina Valeryevna Pustokhina, Denis Alexandrovich Pustokhin, V. Subramaniyaswamy, Dharam Buddhi:
ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models. Robotics Auton. Syst. 157: 104234 (2022) - [j61]Rahul Choudhary, Rahee Walambe, Ketan Kotecha:
Spatial and temporal features unified self-supervised representation learning networks. Robotics Auton. Syst. 157: 104256 (2022) - [j60]Neelabh Paul, Vaibhav Tasgaonkar, Rahee Walambe, Ketan Kotecha:
Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents. Robotics 11(6): 150 (2022) - [j59]Satish Kumar, Tushar Kolekar, Shruti Patil, Arunkumar M. Bongale, Ketan Kotecha, Atef Zaguia, Chander Prakash:
A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling. Sensors 22(2): 517 (2022) - [j58]Abhinav Mishra, Ganapathiraju Dharahas, Shilpa Gite, Ketan Kotecha, Deepika Koundal, Atef Zaguia, Manjit Kaur, Heung-No Lee:
ECG Data Analysis with Denoising Approach and Customized CNNs. Sensors 22(5): 1928 (2022) - [j57]Manish Rathod, Chirag Dalvi, Kulveen Kaur, Shruti Patil, Shilpa Gite, Pooja Kamat, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI. Sensors 22(20): 8066 (2022) - [j56]Sajal Misra, Satish Kumar, Sameer Sayyad, Arunkumar M. Bongale, Priya S. Jadhav, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data. Sensors 22(21): 8210 (2022) - [j55]Jalaj Pachouly, Swati Ahirrao, Ketan Kotecha:
SDPTool : A tool for creating datasets and software defect predictions. SoftwareX 18: 101036 (2022) - [c13]Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha:
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. CVPR Workshops 2022: 3029-3038 - [i18]Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare:
A comprehensive survey on computational learning methods for analysis of gene expression data in genomics. CoRR abs/2202.02958 (2022) - [i17]Rahee Walambe, Ananya Srivastava, Bhargav Yagnik, Mohammed Hasan, Zainuddin Saiyed, Gargi Joshi, Ketan Kotecha:
Explainable Misinformation Detection Across Multiple Social Media Platforms. CoRR abs/2203.11724 (2022) - [i16]Aboli Marathe, Rahee Walambe, Ketan Kotecha:
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles. CoRR abs/2204.01062 (2022) - [i15]Aboli Marathe, Pushkar Jain, Rahee Walambe, Ketan Kotecha:
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems. CoRR abs/2204.01719 (2022) - [i14]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Rahul Vora, Ilias O. Pappas:
A Review on Text-Based Emotion Detection - Techniques, Applications, Datasets, and Future Directions. CoRR abs/2205.03235 (2022) - [i13]Rucha Shinde, Shruti Patil, Ketan Kotecha, Vidyasagar M. Potdar, Ganeshsree Selvachandran, Ajith Abraham:
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions. CoRR abs/2206.04793 (2022) - [i12]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham:
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research. CoRR abs/2206.14153 (2022) - 2021
- [j54]Mayur Gaikwad, Swati Ahirrao, Shraddha P. Phansalkar, Ketan Kotecha:
Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools. IEEE Access 9: 48364-48404 (2021) - [j53]Gargi Joshi, Rahee Walambe, Ketan Kotecha:
A Review on Explainability in Multimodal Deep Neural Nets. IEEE Access 9: 59800-59821 (2021) - [j52]Dipali Baviskar, Swati Ahirrao, Vidyasagar M. Potdar, Ketan Kotecha:
Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions. IEEE Access 9: 72894-72936 (2021) - [j51]Amruta Bajirao Patil, Mrinal Rahul Bachute, Ketan Kotecha:
Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample. IEEE Access 9: 82761-82785 (2021) - [j50]Shilpa Gite, Biswajeet Pradhan, Abdullah M. Alamri, Ketan Kotecha:
ADMT: Advanced Driver's Movement Tracking System Using Spatio-Temporal Interest Points and Maneuver Anticipation Using Deep Neural Networks. IEEE Access 9: 99312-99326 (2021) - [j49]Amruta Bajirao Patil, Mrinal Rahul Bachute, Ketan Kotecha:
Corrections to "Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample". IEEE Access 9: 100735 (2021) - [j48]Dipali Baviskar, Swati Ahirrao, Ketan Kotecha:
Multi-Layout Unstructured Invoice Documents Dataset: A Dataset for Template-Free Invoice Processing and Its Evaluation Using AI Approaches. IEEE Access 9: 101494-101512 (2021) - [j47]Sameer Sayyad, Satish Kumar, Arunkumar M. Bongale, Pooja Kamat, Shruti Patil, Ketan Kotecha:
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions. IEEE Access 9: 110255-110286 (2021) - [j46]Vidisha Wagle, Kulveen Kaur, Pooja Kamat, Shruti Patil, Ketan Kotecha:
Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information. IEEE Access 9: 127985-128022 (2021) - [j45]Akhil Singh, Vaibhav Jaiswal, Gaurav Joshi, Adith Sanjeeve, Shilpa Gite, Ketan Kotecha:
Neural Style Transfer: A Critical Review. IEEE Access 9: 131583-131613 (2021) - [j44]Suresh Kolekar, Shilpa Gite, Biswajeet Pradhan, Ketan Kotecha:
Behavior Prediction of Traffic Actors for Intelligent Vehicle Using Artificial Intelligence Techniques: A Review. IEEE Access 9: 135034-135058 (2021) - [j43]Varun Jain, Om Nankar, Daryl Jacob Jerrish, Shilpa Gite, Shruti Patil, Ketan Kotecha:
A Novel AI-Based System for Detection and Severity Prediction of Dementia Using MRI. IEEE Access 9: 154324-154346 (2021) - [j42]Deepali Arun Bhanage, Ambika Vishal Pawar, Ketan Kotecha:
IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool. IEEE Access 9: 156392-156421 (2021) - [j41]Kalyani Dhananjay Kadam, Swati Ahirrao, Ketan Kotecha, Sayan Sahu:
Detection and Localization of Multiple Image Splicing Using MobileNet V1. IEEE Access 9: 162499-162519 (2021) - [j40]R. Devika, Subramaniyaswamy Vairavasundaram, C. Sakthi Jay Mahenthar, Varadarajan Vijayakumar, Ketan Kotecha:
A Deep Learning Model Based on BERT and Sentence Transformer for Semantic Keyphrase Extraction on Big Social Data. IEEE Access 9: 165252-165261 (2021) - [j39]Chirag Dalvi, Manish Rathod, Shruti Patil, Shilpa Gite, Ketan Kotecha:
A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions. IEEE Access 9: 165806-165840 (2021) - [j38]Priyanka Tupe-Waghmare, Piyush Malpure, Ketan Kotecha, Manish Beniwal, Vani Santosh, Jitender Saini, Madhura Ingalhalikar:
Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI. IEEE Access 9: 167900-167910 (2021) - [j37]Shruti Patil, Varadarajan Vijayakumar, Devika Walimbe, Siddharth Gulechha, Sushant Shenoy, Aditya Raina, Ketan Kotecha:
Improving the Robustness of AI-Based Malware Detection Using Adversarial Machine Learning. Algorithms 14(10): 297 (2021) - [j36]Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu, Varadarajan Vijayakumar:
AI Based Emotion Detection for Textual Big Data: Techniques and Contribution. Big Data Cogn. Comput. 5(3): 43 (2021) - [j35]Jyoti Choudrie, Snehasish Banerjee, Ketan Kotecha, Rahee Walambe, Hema Karende, Juhi Ameta:
Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study. Comput. Hum. Behav. 119: 106716 (2021) - [j34]Rahee Walambe, Aboli Marathe, Ketan Kotecha, George Ghinea:
Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions. Comput. Intell. Neurosci. 2021: 5278820:1-5278820:12 (2021) - [j33]Dipali Baviskar, Swati Ahirrao, Ketan Kotecha:
Multi-Layout Invoice Document Dataset (MIDD): A Dataset for Named Entity Recognition. Data 6(7): 78 (2021) - [j32]Kalyani Dhananjay Kadam, Swati Ahirrao, Ketan Kotecha:
Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing. Data 6(10): 102 (2021) - [j31]Mayur Gaikwad, Swati Ahirrao, Shraddha P. Phansalkar, Ketan Kotecha:
Multi-Ideology ISIS/Jihadist White Supremacist (MIWS) Dataset for Multi-Class Extremism Text Classification. Data 6(11): 117 (2021) - [j30]Vijayakumar Varadarajan, Dweepna Garg, Ketan Kotecha:
An Efficient Deep Convolutional Neural Network Approach for Object Detection and Recognition Using a Multi-Scale Anchor Box in Real-Time. Future Internet 13(12): 307 (2021) - [j29]Sharad Pande, Srishti Chouhan, Ritesh Sonavane, Rahee Walambe, George Ghinea, Ketan Kotecha:
Development and deployment of a generative model-based framework for text to photorealistic image generation. Neurocomputing 463: 1-16 (2021) - [j28]Jyoti Choudrie, Shruti Patil, Ketan Kotecha, Nikhil Matta, Ilias O. Pappas:
Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Inf. Syst. Frontiers 23(6): 1431-1465 (2021) - [j27]Kirti Ruikar, Ketan Kotecha, Sayali Sandbhor, Albert Thomas:
SPECIAL ISSUE EDITORIAL: Next Generation ICTs - How distant is ubiquitous computing? J. Inf. Technol. Constr. 26: 639-642 (2021) - [j26]Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, Ketan Kotecha:
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning. J. Digit. Imaging 34(4): 932-947 (2021) - [j25]Shilpa Gite, Hrituja Khatavkar, Ketan Kotecha, Shilpi Srivastava, Priyam Maheshwari, Neerav Pandey:
Explainable stock prices prediction from financial news articles using sentiment analysis. PeerJ Comput. Sci. 7: e340 (2021) - [j24]Anant R. Bhatt, Amit Ganatra, Ketan Kotecha:
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing. PeerJ Comput. Sci. 7: e348 (2021) - [j23]Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha:
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. PeerJ Comput. Sci. 7: e365 (2021) - [j22]Arpan Srivastava, Sonakshi Jain, Ryan Miranda, Shruti Patil, Sharnil Pandya, Ketan Kotecha:
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease. PeerJ Comput. Sci. 7: e369 (2021) - [j21]Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu:
Stance detection with BERT embeddings for credibility analysis of information on social media. PeerJ Comput. Sci. 7: e467 (2021) - [j20]Pooja Mehta, Sharnil Pandya, Ketan Kotecha:
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning. PeerJ Comput. Sci. 7: e476 (2021) - [j19]Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha:
Incremental learning of LSTM framework for sensor fusion in attitude estimation. PeerJ Comput. Sci. 7: e662 (2021) - [j18]Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha:
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. Sensors 21(6): 1937 (2021) - [j17]Ketan Kotecha, Raghav Verma, Prahalad V. Rao, Priyanshu Prasad, Vipul Kumar Mishra, Tapas Badal, Divyansh Jain, Deepak Garg, Shakti Sharma:
Enhanced Network Intrusion Detection System. Sensors 21(23): 7835 (2021) - [j16]Nivedita Mishra, Sharnil Pandya, Chirag I. Patel, Nagaraj G. Cholli, Kirit Modi, Pooja Shah, Madhuri Chopade, Sudha Patel, Ketan Kotecha:
Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications. Sensors 21(23): 8071 (2021) - [j15]Mohammad Sajid, Jagendra Singh, Raza Abbas Haidri, Mukesh Prasad, Vijayakumar Varadarajan, Ketan Kotecha, Deepak Garg:
A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities. Symmetry 13(10): 1923 (2021) - [c12]Aboli Marathe, Rahee Walambe, Ketan Kotecha:
Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild. ICCVW 2021: 3568-3577 - [i11]Ananya Srivastava, Mohammed Hasan, Bhargav Yagnik, Rahee Walambe, Ketan Kotecha:
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media. CoRR abs/2105.04913 (2021) - [i10]Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha:
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. CoRR abs/2105.07659 (2021) - [i9]Gargi Joshi, Rahee Walambe, Ketan Kotecha:
A Review on Explainability in Multimodal Deep Neural Nets. CoRR abs/2105.07878 (2021) - [i8]Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu:
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media. CoRR abs/2105.10272 (2021) - [i7]Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha:
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. CoRR abs/2107.03970 (2021) - [i6]Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions. CoRR abs/2107.13782 (2021) - [i5]Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha:
Incremental learning of LSTM framework for sensor fusion in attitude estimation. CoRR abs/2108.03173 (2021) - [i4]Kalyani Dhananjay Kadam, Swati Ahirrao, Ketan Kotecha, Sayan Sahu:
Detection and Localization of Multiple Image Splicing Using MobileNet V1. CoRR abs/2108.09674 (2021) - 2020
- [j14]Sharnil Pandya, Hemant Ghayvat, Anirban Sur, Muhammad Awais, Ketan Kotecha, Santosh Saxena, Nandita Jassal, Gayatri Pingale:
Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living. Sensors 20(18): 5448 (2020) - [j13]Poonam Chaudhari, Himanshu Agrawal, Ketan Kotecha:
Data augmentation using MG-GAN for improved cancer classification on gene expression data. Soft Comput. 24(15): 11381-11391 (2020)
2010 – 2019
- 2019
- [j12]Gopi Sanghani, Ketan Kotecha:
Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update. Expert Syst. Appl. 115: 287-299 (2019) - [j11]Shilpa Gite, Himanshu Agrawal, Ketan Kotecha:
Early anticipation of driver's maneuver in semiautonomous vehicles using deep learning. Prog. Artif. Intell. 8(3): 293-305 (2019) - [i3]Gopi Sanghani, Ketan Kotecha:
Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update. CoRR abs/1904.12118 (2019) - 2015
- [j10]Ankit Thakkar, Ketan Kotecha:
A new Bollinger Band based energy efficient routing for clustered wireless sensor network. Appl. Soft Comput. 32: 144-153 (2015) - [j9]Jigar Patel, Sahil Shah, Priyank Thakkar, Ketan Kotecha:
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques. Expert Syst. Appl. 42(1): 259-268 (2015) - [j8]Jigar Patel, Sahil Shah, Priyank Thakkar, Ketan Kotecha:
Predicting stock market index using fusion of machine learning techniques. Expert Syst. Appl. 42(4): 2162-2172 (2015) - 2013
- [j7]Priyanka Sharma, Ketan Kotecha:
Parallelized ACO based Routing for Stagnation Mitigation and Avoidance of Multimedia Traffic Over MANETs. Int. J. Appl. Evol. Comput. 4(1): 39-55 (2013) - [i2]Vaishali D. Khairnar, Ketan Kotecha:
Performance of Vehicle-to-Vehicle Communication using IEEE 802.11p in Vehicular Ad-hoc Network Environment. CoRR abs/1304.3357 (2013) - [i1]Vaishali D. Khairnar, Ketan Kotecha:
Simulation-Based Performance Evaluation of Routing Protocols in Vehicular Ad-hoc Network. CoRR abs/1311.1378 (2013) - 2011
- [j6]Apurva Shah, Ketan Kotecha:
ACO Based Dynamic Scheduling Algorithm for Real-Time Multiprocessor Systems. Int. J. Grid High Perform. Comput. 3(3): 20-30 (2011) - 2010
- [j5]Apurva Shah, Ketan Kotecha, Dipti Shah:
Dynamic scheduling for real-time distributed systems using ant colony optimization. Int. J. Intell. Comput. Cybern. 3(2): 279-292 (2010) - [c11]Mikita V. Talati, Sharada Valiveti, Ketan Kotecha:
Trust Based Routing in Ad Hoc Network. FGIT-FGCN (2) 2010: 381-392 - [c10]Pimal Khanpara, Sharada Valiveti, Ketan Kotecha:
Routing in Ad Hoc Network Using Ant Colony Optimization. FGIT-FGCN (2) 2010: 393-404 - [c9]Purvi Tandel, Sharada Valiveti, K. P. Agrawal, Ketan Kotecha:
Non-Repudiation in Ad Hoc Networks. FGIT-FGCN (2) 2010: 405-415
2000 – 2009
- 2009
- [c8]Prashant Swadas, Falguni Mehta, Ketan Kotecha:
Performance Comparision of Ant Colony Algorithm and Approximate Algorithm for Reporting Cell Problem Under Total Signaling Cost. ICWN 2009: 638-644 - 2008
- [c7]Ketan Kotecha, Apurva Shah:
Ant Colony Optimization based Dynamic Scheduling Algorithm for Real-Time Operating Systems. Artificial Intelligence and Pattern Recognition 2008: 70-74 - [c6]Ketan Kotecha, Apurva Shah:
Adaptive scheduling algorithm for real-time operating system. IEEE Congress on Evolutionary Computation 2008: 2109-2112 - [c5]Ketan Kotecha, Apurva Shah:
Efficient Dynamic Scheduling Algorithms for Real-Time Multiprocessor Systems. HPCNCS 2008: 21-25 - 2007
- [c4]Ketan Kotecha, Sonal Popat:
Multi objective genetic algorithm based adaptive QoS routing in MANET. IEEE Congress on Evolutionary Computation 2007: 1423-1428 - [c3]Ketan V. Kotecha, Sandipsinh G. Dhummad:
ISTAR Ant Colony System - A New Approach of Solution of TSP Based on Ant Colony System Algorithm. IMECS 2007: 93-97 - 2005
- [j4]Paluri S. V. Nataraj, Ketan Kotecha:
An Improved Interval Global Optimization Algorithm Using Higher-order Inclusion Function Forms. J. Glob. Optim. 32(1): 35-63 (2005) - 2004
- [j3]Paluri S. V. Nataraj, Ketan Kotecha:
Global Optimization with Higher Order Inclusion Function Forms Part 1: A Combined Taylor-Bernstein Form. Reliab. Comput. 10(1): 27-44 (2004) - [c2]Ketan Kotecha, Gopi Sanghani, Nilesh Gambhava:
Genetic Algorithm for Airline Crew Scheduling Problem Using Cost-Based Uniform Crossover. AACC 2004: 84-91 - 2003
- [j2]Paluri S. V. Nataraj, Ketan Kotecha:
Higher Order Convergence for Multidimensional Functions with a New Taylor-Bernstein Form as Inclusion Function. Reliab. Comput. 9(3): 185-203 (2003) - [c1]Ketan Kotecha, Nilesh Gambhava:
A Hybrid Genetic Algorithm for Minimum Vertex Cover Problem. IICAI 2003: 904-913 - 2002
- [j1]P. S. V. Nataray, Ketan Kotecha:
An Algorithm for Global Optimization using the Taylor-Bernstein Form as Inclusion Function. J. Glob. Optim. 24(4): 417-436 (2002)
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-01-26 23:50 CET by the dblp team
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