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Shallow and deep learning approaches for network intrusion alert prediction.
(Elsevier, 2020)
The ever-increasing frequency and intensity of intrusion attacks on computer networks worldwide has necessitated intense research efforts towards the design of attack detection and prediction mechanisms. While there are a ...
GRU-based deep learning approach for network intrusion alert prediction
(Elsevier, 2021-11)
The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...
Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perpectives.
(Springer, 2019-10-16)
Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration
and harmony, ...