Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things
B Babayigit, M Abubaker - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Detecting malicious attacks in Industrial Internet of Things (IIoT) is crucial to minimize
downtime and financial losses. However, existing deep learning (DL) research faces …
downtime and financial losses. However, existing deep learning (DL) research faces …
Facial expression recognition based on improved depthwise separable convolutional network
H Huo, YL Yu, ZH Liu - Multimedia Tools and Applications, 2023 - Springer
A single network model can't extract more complex and rich effective features. Meanwhile,
the network structure is usually huge, and there are many parameters and consume more …
the network structure is usually huge, and there are many parameters and consume more …
Facial expression recognition: deep survey, progression and future perspective
R Grover, S Bansal - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Emotions are a big part of human life. Humans experience a variety of emotions on a daily
basis, and each emotion has a unique impact on how the face moves. As a consequence …
basis, and each emotion has a unique impact on how the face moves. As a consequence …
Impact of explanations for trustworthy and transparent artificial intelligence
Trust is a fundamental aspect in the interaction between humans and artificial intelligence
(AI). Building and maintaining trust requires designing AI systems that are transparent …
(AI). Building and maintaining trust requires designing AI systems that are transparent …