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A comparative study of machine learning techniques for emotion recognition using peripheral physiological signals
(Athlone Institute of Technology, 2020-06)
Emotions in human produce physical and physiological changes.
Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition
Peripheral ...
OPCNN-FAKE: Optimized convolutional neural network for fake news detection
(IEEE, 2021-09-14)
Recently, there is a rapid and wide increase in fake news, de ned as provably incorrect
information spread with the goal of fraud. The spread of this type of misinformation is a severe danger
to social cohesiveness and ...
A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals.
(IEEE, 2020-06)
Recent developments in wearable technology
have led to increased research interest in using peripheral
physiological signals for emotion recognition. The non-invasive
nature of peripheral physiological signal measurement ...
Machine learning for process monitoring and control of hot-melt extrusion: current state of the art and future directions
(MDPI, 2021-09-09)
In the last few decades, hot-melt extrusion (HME) has emerged as a rapidly growing
technology in the pharmaceutical industry, due to its various advantages over other fabrication
routes for drug delivery systems. After ...