We consider search spaces associated with neural network channel configuration.
Architectures and their accuracy are visualised using low-dimensional Euclidean …

The conventional Close circuit television (CCTV) cameras-based surveillance and control
systems require human resource supervision. Almost all the criminal activities take place …

Deep convolutional neural networks have achieved remarkable progress on computer
vision tasks over last years. In this paper, we proposed a dynamic training slimming with …

AI-based approaches, especially deep learning have made remarkable achievements in
Speech Emotion Recognition (SER). Needless to say, Convolutional Neural Networks …

Currently in the federated setting, no learning schemes leverage the emerging research of
explainable artificial intelligence (XAI) in particular the novel learning metrics that help …

abstract AI-based approaches, especially deep learning have made remarkable
achievements in Speech Emotion Recognition (SER). Needless to say, Convolutional …

The task of hyper-parameter optimization (HPO) is burdened with heavy computational costs
due to the intractability of optimizing both a model's weights and its hyper-parameters …

Interest in digital imaging has grown tremendously in recent years. As a result, various data
compression techniques have been proposed, which are mainly concerned with minimizing …