Data Aggregation in Wireless Sensor Network Using Shuffled Frog Algorithm. - T. Abirami; S. Anandamurugan (Wirel. Pers. Commun., 2016)

Antipredator Adaptation Shuffled Frog Leap Algorithm to Improve Network Life Time in Wireless Sensor Network. - S. Anandamurugan; T. Abirami (Wirel. Pers. Commun., 2017)

Deep Neural Network Model for Automatic Detection of Citrus Fruit and Leaf Disease. - S. Anandamurugan; B. Deva Dharshini; J. Ayesha Howla; T. Ranjith (IBICA, 2021)

Detection of Social Distance and Intimation System for Covid-19. - S. Anandamurugan; M. Saravana Kumar; K. Nithin; E. G. Prashanth (IBICA, 2021)

Effective Music Suggestion Using Facial Recognition. - A. P. Ponselvakumar; S. Anandamurugan; K. Lokeshwaran; Suganneshan; Zubair; Gokula Kannan (ISDA, 2021)

Mobility Aware Zone-Based Routing in Vehicle Ad hoc Networks Using Hybrid Metaheuristic Algorithm. - C. Nandagopal; P. Siva Kumar; R. Rajalakshmi; S. Anandamurugan (Intell. Autom. Soft Comput., 2023)

Harnessing LSTM Classifier to Suggest Nutrition Diet for Cancer Patients. - S. Raguvaran; S. Anandamurugan; A. M. J. Md. Zubair Rahman (Intell. Autom. Soft Comput., 2023)

Real-time face mask position recognition system using YOLO models for preventing COVID-19 disease spread in public places. - Vishnu Kumar Kaliappan; Rajasekaran Thangaraj; P. Pandiyan; K. Mohana Sundaram 001; S. Anandamurugan; Dugki Min (Int. J. Ad Hoc Ubiquitous Comput., 2023)

A design of predictive manufacturing system in IoT-assisted Industry 4.0 using heuristic-derived deep learning. - Premkumar Murugiah; Akila Muthuramalingam; S. Anandamurugan (Int. J. Commun. Syst., 2023)

Particle Swarm Optimization Method Combined with off Policy Reinforcement Learning Algorithm for the Discovery of High Utility Itemset. - Logeswaran K.; P. Suresh 002; S. Anandamurugan (Inf. Technol. Control., 2023)

Implementation of Machine Learning Techniques for Automated Video Annotation. - Kunduru Gayathri; R. Poornima; Vaishali Rajput; S. Anandamurugan; P. Sakthivel; P. Ravinder Rao (ICCCNT, 2024)

A deep convolution neural network model based on feature concatenation approach for classification of tomato leaf disease. - Rajasekaran Thangaraj; P. Pandiyan; S. Anandamurugan; Sivaramakrishnan Rajendar (Multim. Tools Appl., 2024)

Innovative Deep Learning Framework for Accurate Plant Disease Detection and Crop Productivity Enhancement. - Mohan M.; S. Anandamurugan (Cogn. Comput., 2025)