AN EXPLORATION OF THE POTENTIAL OF DEEP NEURAL NETWORKS IN ARTIFICIAL INTELLIGENCE P. Ganesh Kumar, G. Ramesh |
RECONFIGURABLE APPROXIMATE COMPUTING ARCHITECTURE FOR ENERGY-EFFICIENT EDGE AI ACCELERATORSPitty Nagarjuna1, Shaik Mohammed Rizwan2 |
INTRUSION DETECTION USING ARTIFICIAL NEURAL NETWORK WITH REDUCED INPUT FEATURESP. Ganesh Kumar1, D. Devaraj2 |
LEVERAGING DATA-DRIVEN TECHNIQUES FOR EFFICIENT DATA MINING IN CLOUD COMPUTING ENVIRONMENTS Jaladurgam Venkataramana |
PERFORMANCE EVALUATION OF C-FUZZY DECISION TREE BASED IDS WITH DIFFERENT DISTANCE MEASURESVinayak Mantoor1, Krishnamoorthy Makkittaya2 and C.B. Chandrakala3 |
CERTIFICATE REVOCATION SCHEME BASED ON WEIGHTED VOTING GAME AND RATIONAL SECURE MULTIPARTY COMPUTINGN Aravinthan, K Geetha |