Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body Ensemble Machine Learning Methods to Predict. - Vani Rajasekar; Sathya Krishnamoorthi; Muzafer Saracevic; Dzenis Pepic; Mahir Zajmovic; Haris Zogic (Comput. Sci., 2022)

Efficient Cancelable Template Generation Based on Signcryption and Bio Hash Function. - Vani Rajasekar; Muzafer Saracevic; Darjan Karabasevic; Dragisa Stanujkic; Eldin Dobardzic; Sathya Krishnamoorthi (Axioms, 2022)

Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data. - Vani Rajasekar; J. Premalatha; Sathya Krishnamoorthi; Muzafer Saracevic; Mohamed Elhoseny; Marwan Al-Akaidi (Wirel. Pers. Commun., 2022)

A futuristic approach to generate random bit sequence using dynamic perturbed chaotic system. - Sathya Krishnamoorthi; Premalatha Jayapaul; Vani Rajasekar; Rajesh Kumar Dhanaraj; Celestine Iwendi (Turkish J. Electr. Eng. Comput. Sci., 2022)

CCM-PRNG: Pseudo-random bit generator based on cross-over chaotic map and its application in image encryption. - Sathya Krishnamoorthi; Rajesh Kumar Dhanaraj; SK Hafizul Islam (Multim. Tools Appl., 2024)