A Novel Constructive Neural Network Architecture Based on Improved Adaptive Learning Strategy for Pattern Classification. - S. S. Sridhar; M. Ponnavaikko (SocProS (1), 2011)

cuFFS: A GPU-accelerated code for Fast Faraday rotation measure Synthesis. - S. S. Sridhar; G. Heald; Jan M. van der Hülst (Astron. Comput., 2018)

Continual Learning for Classification Problems: A Survey. - Mochitha Vijayan; S. S. Sridhar (ICCIDS, 2021)

Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing. - Sivamohan Krishnaveni; Sivanandam Sivamohan; S. S. Sridhar; S. Prabakaran (Clust. Comput., 2021)

Personalized web service recommendation through mishmash technique and deep learning model. - S. Ganesh Kumar; S. S. Sridhar; Azham Hussain; S. V. Manikanthan; T. Padmapriya (Multim. Tools Appl., 2022)

OISVM: Optimal Incremental Support Vector Machine-based EEG Classification for Brain-computer Interface Model. - P. S. Thanigaivelu; S. S. Sridhar; S. Fouziya Sulthana (Cogn. Comput., 2023)

An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework. - Sivanandam Sivamohan; S. S. Sridhar (Neural Comput. Appl., 2023)

TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization. - Sivanandam Sivamohan; S. S. Sridhar; Sivamohan Krishnaveni (Peer Peer Netw. Appl., 2023)

Intelligent and assisted medicine dispensing machine for elderly visual impaired people with deep neural network fingerprint authentication system. - Soubraylu Sivakumar; S. S. Sridhar; Ratnavel Rajalakshmi; M. Pushpalatha; S. Shanmugan; G. Niranjana (Internet Things, 2023)

Classification of yoga, meditation, combined yoga-meditation EEG signals using L-SVM, KNN, and MLP classifiers. - A. Rajalakshmi; S. S. Sridhar (Soft Comput., 2024)