An intelligent video analytics model for abnormal event detection in online surveillance video. - Ananthakrishnan Balasundaram; C. Chellappan (J. Real Time Image Process., 2020)

Enabling Sustainable Energy for Smart Environment Using 5G Wireless Communication and Internet of Things. - Hemanand Duraivelu; D. S. Jayalakshmi; Uttam Ghosh; Ananthakrishnan Balasundaram; Pandi Vijayakumar; Pradip Kumar Sharma (IEEE Wirel. Commun., 2021)

Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network. - Venugopal Ulagamuthalvi; Govindarajan Kulanthaivel; Ananthakrishnan Balasundaram; Arun Kumar Sivaraman (Comput. Syst. Sci. Eng., 2022)

Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features. - P. Arunachalam; N. Janakiraman; Arun Kumar Sivaraman; Ananthakrishnan Balasundaram; Rajiv Vincent; Sita Rani; Barnali Dey; A. Muralidhar; M. Rajesh 003 (Intell. Autom. Soft Comput., 2022)

Abnormality Identification in Video Surveillance System using DCT. - Ananthakrishnan Balasundaram; Golda Dilip; M. Manickam; Arun Kumar Sivaraman; K. Gurunathan; R. Dhanalakshmi; S. Ashokkumar (Intell. Autom. Soft Comput., 2022)

Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things. - D. Kothandaraman; M. Manickam; Ananthakrishnan Balasundaram; D. Pradeep; A. Arulmurugan; Arun Kumar Sivaraman; Sita Rani; Barnali Dey; R. Balakrishna (Intell. Autom. Soft Comput., 2022)

Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network. - Dhanalakshmi R; Sovan Samanta; Arun Kumar Sivaraman; Jeong Gon Lee; Ananthakrishnan Balasundaram; Sanamdikar Sanjay Tanaji; Priya Ravindran (Comput. Syst. Sci. Eng., 2023)

Internet of Things (IoT)-Based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care. - Ananthakrishnan Balasundaram; Sidheswar Routray; A. V. Prabu; Prabhakar Krishnan; Prince Priya Malla; Moinak Maiti (IEEE Internet Things J., 2023)

Genetic Algorithm Optimized Stacking Approach to Skin Disease Detection. - Ananthakrishnan Balasundaram; Ayesha Shaik; B. Rohan Alroy; Amogh Singh; S. J. Shivaprakash (IEEE Access, 2024)

An Improved Normalized Difference Vegetation Index (NDVI) Estimation Using Grounded Dino and Segment Anything Model for Plant Health Classification. - Ananthakrishnan Balasundaram; Alabhya Sharma; Swaathy Kumaravelan; Ayesha Shaik; Muthu Subash Kavitha (IEEE Access, 2024)

On-road obstacle detection in real time environment using an ensemble deep learning model. - Ananthakrishnan Balasundaram; Ayesha Shaik; A. Prasad; Yogarajah Pratheepan (Signal Image Video Process., 2024)

An experimental evaluation of deep learning-based models for acne severity classification in humans. - Ayesha Shaik; Jincy Jis Kanichai; Aleena Bosco Kurumthottam; Vidul Garg; Ananthakrishnan Balasundaram (Connect. Sci., 2025)

Dual multi scale networks for medical image segmentation using contrastive learning. - Akshat Dhamale; Ratnavel Rajalakshmi; Ananthakrishnan Balasundaram (Image Vis. Comput., 2025)