Spatio-Temporal dependency preserving Cognitive-assisted Continuous Chinese Sign Language Recognition. - Priyanka Ganesan; Senthil Kumar Jagatheesaperumal; Silvia Gaftandzhieva; Rositsa Doneva (CompSysTech, 2023)

Revolutionizing Emergency Response: The Transformative Power of Smart Wearables Through Blockchain, Federated Learning, and Beyond 5G/6G Services. - Priyanka Ganesan; Senthil Kumar Jagatheesaperumal (IT Prof., 2023)

Deep learning based video surveillance for predicting vehicle density in real time scenario. - Priyanka Ganesan; J. Senthil Kumar; S. T. Veena (J. Ambient Intell. Humaniz. Comput., 2023)

Deep Learning-Based Interactive Dashboard for Enhancing Online Classroom Experience Through Student Emotion Analysis. - Priyanka Ganesan; Senthil Kumar Jagatheesaperumal; I. Gobhinath; Vishnu Venkatraman; Silvia Gaftandzhieva; Rositsa Doneva (IEEE Access, 2024)

Few-shot image classification using graph neural network with fine-grained feature descriptors. - Priyanka Ganesan; Senthil Kumar Jagatheesaperumal; Mohammad Mehedi Hassan; Francesco Pupo; Giancarlo Fortino (Neurocomputing, 2024)

TinyML Based Stress Detection utilizing PPG Signals: A Lightweight Approach for Smart Wearable Devices. - Priyanka Ganesan; Yogeswar Reddy Thota; Hashem Shehata; Tooraj Nikoubin (ACM Great Lakes Symposium on VLSI, 2025)

DHMDL: Dynamically Hashed Multimodal Deep Learning Framework for Racket Video Summarization Using Audio and Visual Markers. - Priyanka Ganesan; J. Senthil Kumar; M. Prasha Meena (Appl. Artif. Intell., 2025)