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Development Of An Adaptive Machine Learning Framework For Real-Time Anomaly Detection In Cybersecurity
The Exponential Growth Of Digital Infrastructures And The Increasing Sophistication Of Cyber-attacks Necessitate The Development Of Intelligent, Adaptive, And Real-time Defense Mechanisms. Traditional Signature-based Intrusion Detection Sys...
ONLINE FACE RECOGNITION USING BIG DATA FROM VIDEO STREAM BY BANDIT SEGMENT
The Earlier Scheduling Techniques Did Not Have Any Resource Allocation To The Streaming Task At Run-time. An Assumption Was Made That The System Knew How Much Resource Has To Be Allocated To Each Task In Order To Achieve The Desired Through...