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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 ...
Low-cost gaze detection with real-time ocular movements using coordinate-convolutional neural networks
(United Kingdom Simulation Society, 2019-10)
Detection of ocular-movements unfolds various possibilities in computer vision but requires large datasets, expensive hardware and computational power. Prior research substantiates the belief that Convolutional Neural ...
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 ...
Deep learning based stable and unstable candle flame detection
(Springer, 2021-02-06)
This paper presents a deep learning based solution for identification of normal and abnormal candle flames, controlled and uncontrolled flames. Candle flames affected by external factors like wind, improper combustion of ...
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, ...
Intelligent monitoring of IoT devices using neural networks
(IEEE, 2021-03-29)
The Internet of Things (IoT) has seen expeditious growth in recent times with 7 billion connected devices in 2020, thus leading to the vital importance of real-time monitoring of IoT devices. Through this paper, we demonstrate ...