Optimized traffic control and data processing using IoT. - P. Kuppusamy; R. Kalpana; P. V. Venkateswara Rao (Clust. Comput., 2019)

Deep learning based energy efficient optimal timetable rescheduling model for intelligent metro transportation systems. - P. Kuppusamy; S. Venkatraman; C. A. Rishikeshan; Y. C. A. Padmanabha Reddy (Phys. Commun., 2020)

Job scheduling problem in fog-cloud-based environment using reinforced social spider optimization. - P. Kuppusamy; N. Marline Joys Kumari; Wael Y. Alghamdi; Hashem Alyami; Rajakumar Ramalingam; Abdul Rehman Javed; Mamoon Rashid 001 (J. Cloud Comput., 2022)

Differentiating Parkinson's Disease from other Neuro Diseases and Diagnosis using Deep Learning with Nature Inspired Algorithms and Ensemble Learning. - Anitha Rani Palakayala; P. Kuppusamy (ICMLDE, 2023)

Enhancing Ocular Healthcare: Deep Learning-Based Multi-Class Diabetic Eye Disease Segmentation and Classification. - Maneesha Vadduri; P. Kuppusamy (IEEE Access, 2023)

AttentionLUNet: A Hybrid Model for Parkinson's Disease Detection Using MRI Brain. - Anitha Rani Palakayala; P. Kuppusamy (IEEE Access, 2024)

Optimized Deep Convolutional Neural Network for Autism Spectrum Disorder Detection Using Structural MRI and DTPSO. - Kambham Sravani; P. Kuppusamy (IEEE Access, 2024)

HAMF: A Novel Hierarchical Attention-Based Multi-Modal Fusion Model for Parkinson's Disease Classification and Severity Prediction. - Anitha Rani Palakayala; P. Kuppusamy; D. Kothandaraman; Gunakala Archana; Jaideep Gera (IEEE Access, 2025)

EHO-Q-LGAN: An EHO-Based Q-Learning GAN for the Timely Diagnosis of Diabetic Retinopathy. - Maneesha Vadduri; P. Kuppusamy (IEEE Access, 2025)