Randomized fault-tolerant virtual backbone tree to improve the lifetime of wireless sensor networks. - K. Suganthi 001; B. Vinayagasundaram; J. Aarthi (Comput. Electr. Eng., 2015)

Experimental Test-Bed Implementation of Hybrid Opportunistic Routing Design for Low Power, Lossy Wireless Sensor Network. - Jayavignesh Thyagarajan; K. Suganthi 001 (COMSNETS, 2020)

A joint hybrid corona based opportunistic routing design with quasi mobile sink for IoT based wireless sensor network. - Jayavignesh Thyagarajan; Suganthi Kulanthaivelu (J. Ambient Intell. Humaniz. Comput., 2021)

Epidemic outbreak prediction using machine learning models. - Akshara Pramod; JS Abhishek; K. Suganthi 001 (CoRR, 2023)

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability. - K. Suganthi 001; M. Arun Kumar; N. Harish; S. HariKrishnan; G. Rajesh; S. Sofana Reka (Sensors, 2023)

A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; T. Illakiya; K. Suganthi 001 (IEEE Access, 2024)

Anterior cruciate ligament tear detection based on convolutional neural network and generative adversarial neural network. - Kavita Joshi; K. Suganthi 001 (Neural Comput. Appl., 2024)

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification. - R. Karthik 001; Aswin R; K. S. Geetha; K. Suganthi 001 (IEEE Access, 2025)