Using data mining techniques for bike sharing demand prediction in metropolitan city. - Sathishkumar V. E.; Jangwoo Park; Yongyun Cho (Comput. Commun., 2020)

AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques. - Shanmuga Vadivel Kogilavani; Sathishkumar V. E.; Malliga Subramanian (DCOSS, 2022)

A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images. - Malliga Subramanian; Sathishkumar V. E.; C. Ramya; Shanmuga Vadivel Kogilavani; Deepti Ravi (DCOSS, 2022)

Convolutional Neural Networks for Traffic Sign Classification Using Enhanced Colours. - V. E. Sathishkumar; C. Sharmila; S. Santhiya; M. Poongundran; S. Sanjeeth; S. Pranesh (IconDeepCom, 2022)

Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization. - Malliga Subramanian; L. V. Narasimha Prasad; B. Janakiramaiah 001; Asanapuram Mohan Babu; Sathishkumar V. E. (Big Data, 2022)

Augmented reality technology based on school physical education training. - Yufei Liu; V. E. Sathishkumar; Adhiyaman Manickam (Comput. Electr. Eng., 2022)

The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis. - Malliga Subramanian; Shanmuga Vadivel Kogilavani; Wesam Atef Hatamleh; Abeer Ali Alnuaim; Mohamed Abdelhady; Sathishkumar V. E. (Expert Syst. J. Knowl. Eng., 2022)

A Comprehensive Review on Secure Data Sharing in Cloud Environment. - Sita Kumari Kotha; Meesala Shobha Rani; Bharat Subedi; Anilkumar Chunduru; Aravind Karrothu; Bipana Neupane; Sathishkumar V. E. (Wirel. Pers. Commun., 2022)

Steel Industry Energy Consumption. - Sathishkumar V. E. (IEEE DataPort, 2022)

Enhanced Feature Model Based Hybrid Neural Network for Text Detection on Signboard, Billboard and News Tickers. - Anbukkarasi S; Veerappampalayam Easwaramoorthy Sathishkumar; C. R. Dhivyaa; Jaehyuk Cho (IEEE Access, 2023)

Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models. - Malliga Subramanian; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar; Obuli Sai Naren (IEEE Access, 2023)

Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning. - Li Yang; Sathishkumar V. E.; Adhiyaman Manickam (Int. J. Inf. Syst. Supply Chain Manag., 2023)

A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis. - Neelakandan Subramani; Veerappampalayam Easwaramoorthy Sathishkumar; Prakash Mohan 001; Malliga Subramanian; Velmurugan Sambath (Big Data Cogn. Comput., 2023)

Steel Industry Energy Consumption. - Sathishkumar V. E.; Chang-Sun Shin; Yongyun Cho (UCI Machine Learning Repository, 2023)

Numerical and Machine Learning Approach for Fe3O4-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation. - Shaik Jakeer; Veerappampalayam Easwaramoorthy Sathishkumar; Seethi Reddy Reddisekhar Reddy; Hayath Thameem Basha (Symmetry, 2023)

Multilingual Automatic Speech Recognition for Indian Languages-E2E Framework. - R. Geetha Rajakumari; Dhanaraj Karthika Renuka; L. Ashok Kumar; C. Thiraviya; S. Vaimitra; Sathishkumar Veerappampalayam Easwaramoorthy (OCIT, 2024)

Smart Contract-Driven Pandemic Management Using Blockchain Technology and Artificial Intelligence. - Sathishkumar Veerappampalayam Easwaramoorthy; Neelakandan Subramani; Angela Siew-Hoong Lee (ICDM (Workshops), 2024)

CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection. - Gunasekaran Raja; Selvam Essaky; Surya Raj Muthu; Babith Sarish Suresh; Jaehyuk Cho; Seohyun Yoo; Sathishkumar Veerappampalayam Easwaramoorthy (ICDM (Workshops), 2024)

Energy-efficiency Management Framework of a Ship based on Data Classification Technique. - Tien Anh Tran; Sathishkumar Veerappampalayam Easwaramoorthy (ICDM (Workshops), 2024)

An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; Jaehyuk Cho; V. E. Sathishkumar (IEEE Access, 2024)

Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks. - R. Karthik 001; Rohan Inamdar; S. Kavin Sundarr; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network. - R. Karthik 001; R. Menaka 001; Shivansh Atre; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2024)

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare. - S. K. B. Sangeetha; Rajeswari Rajesh Immanuel; Sandeep Kumar Mathivanan 001; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2024)

Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. - S. K. B. Sangeetha; C. Selvarathi; Sandeep Kumar Mathivanan 001; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique. - Jagadeesh Selvaraj; Noor Alleema Nakeeb; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

Impact of Fake News on Social Media Towards Public Users of Different Age Groups. - Kahlil bin Abdul Hakim; Veerappampalayam Easwaramoorthy Sathishkumar (CoRR, 2024)

Factors Influencing the Usage of Mobile Banking Apps Among Malaysian Consumers. - Siti Nurdianah binti Mohamad Jalani; Sathishkumar Veerappampalayam Easwaramoorthy (CoRR, 2024)

Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery. - V. E. Sathishkumar (Frontiers Big Data, 2024)

A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. - Anusuya P.; Vanitha C. N.; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (PeerJ Comput. Sci., 2024)

Correction to: Advanced lightweight feature interaction in deep neural networks for improving the prediction in click through rate. - Kalaivaani P. C. D; V. E. Sathishkumar; Wesam Atef Hatamleh; Kamel-Dine Haouam; B. Venkatesh; Dirar Sweidan (Ann. Oper. Res., 2024)

A Secure Method of Communication Through BB84 Protocol in Quantum Key Distribution. - Anilkumar Chunduru; Swathi Lenka; N. Neelima; Sathishkumar V. E. (Scalable Comput. Pract. Exp., 2024)

Season wise bike sharing demand analysis using random forest algorithm. - Sathishkumar V. E.; Yongyun Cho (Comput. Intell., 2024)

An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data. - S. K. B. Sangeetha; Sandeep Kumar Mathivanan 001; V. Muthukumaran; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2025)

Deep learning-driven methods for network-based intrusion detection systems: A systematic review. - Ramya Chinnasamy; Malliga Subramanian; Sathishkumar Veerappampalayam Easwaramoorthy; Jaehyuk Cho (ICT Express, 2025)

Integrating holographic counterparts for intelligent IoT consumer devices. - M. Rajesh 001; M. Usha; Sathishkumar Veerappampalayam Easwaramoorthy (Discov. Internet Things, 2025)

Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models. - Malliga Subramanian; Sathishkumar Veerappampalayam Easwaramoorthy; Nandhini Subbarayan; Usha Moorthy (J. Big Data, 2025)