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Kathiravan Srinivasan

Observed names: Dr. Kathiravan Srinivasan, K. Sakthi Srinivasan, KATHIRAVAN SRINIVASAN, Kathiravan S, Kathiravan S., Kathiravan Srinivasan*, Srinivasan Kathiravan, Srinivasan, Kathiravan
Observed institutions: Manchester Metropolitan University, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, King Saud bin Abdulaziz University for Health Sciences, University of Malta, King Abdullah International Medical Research Center, PSG College of Technology, National Engineering College, National Guard Health Affairs, Taipei Medical University, National Yunlin University of Science and Technology, National Ilan University, Vellore Institute of Technology University
ORCID: 0000-0002-9352-0237
Observed ORCID: 0000-0002-9352-0237
OpenAlex ID: A5073849385
Forecasting yield by integrating agrarian factors and machine learning models: A survey
2018 · Dhivya Elavarasan, Durai Raj Vincent, et al. · Computers and Electronics in Agriculture · 346
IoT-Cloud-Based Smart Healthcare Monitoring System for Heart Disease Prediction via Deep Learning
2022 · A Angel Nancy, Dakshanamoorthy Ravindran, et al. · Electronics · 286
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Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring
2021 · Shwetank Dattatraya Mamdiwar, Akshith R, et al. · Biosensors · 260
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Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability
2019 · Durai Raj Vincent, N Deepa, et al. · Sensors · 215
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A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions
2024 · Avyay Casheekar, Archit Lahiri, et al. · Computer Science Review · 211
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
2019 · Akshi Kumar, Kathiravan Srinivasan, et al. · Information Processing & Management · 211
Virtual reality among the elderly: a usefulness and acceptance study from Taiwan
2019 · Shabbir Syed-Abdul, Shwetambara Malwade, et al. · BMC Geriatrics · 210
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Advancing genome editing with artificial intelligence: opportunities, challenges, and future directions
2024 · Shriniket Dixit, Anant Kumar, et al. · Frontiers in Bioengineering and Biotechnology · 177
Recent Advances in Evolving Computing Paradigms: Cloud, Edge, and Fog Technologies
2021 · Nancy A Angel, Dakshanamoorthy Ravindran, et al. · Sensors · 168
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A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques
2022 · Prasanta Kumar Bal, Sudhir Kumar Mohapatra, et al. · Sensors · 160
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A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions
2023 · Shriniket Dixit, Anant Kumar, et al. · Diagnostics · 148
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AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
2023 · Navneet Melarkode, Kathiravan Srinivasan, et al. · Cancers · 141
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Intelligent deployment of UAVs in 5G heterogeneous communication environment for improved coverage
2016 · Vishal Sharma, Kathiravan Srinivasan, et al. · Journal of Network and Computer Applications · 141
Machine Learning Prediction Models for Chronic Kidney Disease Using National Health Insurance Claim Data in Taiwan
2021 · Surya Krishnamurthy, KS Kapeleshh, et al. · Healthcare · 137
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Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification
2021 · S. Ramaneswaran, Kathiravan Srinivasan, et al. · Computational and Mathematical Methods in Medicine · 117
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A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning
2022 · M. Akshay Kumaar, Duraimurugan Samiayya, et al. · Frontiers in Public Health · 109
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Performance Comparison of Deep CNN Models for Detecting Driver’s Distraction
2021 · Kathiravan Srinivasan, Lalit Garg, et al. · Computers, materials & continua/Computers, materials & continua (Print) · 103
A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
2022 · Chaitanya Gupta, Ishita Johri, et al. · Sensors · 94
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A Contemporary Review on Drought Modeling Using Machine Learning Approaches
2021 · Karpagam Sundararajan, Lalit Garg, et al. · Computer Modeling in Engineering & Sciences · 93
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A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis
2023 · Shriniket Dixit, Khitij Bohre, et al. · Electronics · 91
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A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling
2020 · Dhivya Elavarasan, Durai Raj Vincent P M, et al. · Agriculture · 91
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Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions, and Open Issues
2019 · Priya Chakriswaran, Durai Raj Vincent, et al. · Applied Sciences · 90
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Deep CNN and Deep GAN in Computational Visual Perception‐Driven Image Analysis
2021 · R. Nandhini Abirami, P. M. Durai Raj Vincent, et al. · Complexity · 87
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Personalized cancer vaccine design using AI-powered technologies
2024 · Anant Kumar, Shriniket Dixit, et al. · Frontiers in Immunology · 82
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Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions
2020 · Nivedhitha Mahendran, P. M. Durai Raj Vincent, et al. · Frontiers in Genetics · 82
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Works count: 221
Citation count: 6,551
H-index: 43
I10-index: 102
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