[PDF][PDF] Advances and Challenges in Human Emotion Recognition Systems: A Comprehensive Review
SS Tippannavar, SD Yashwanth… - Journal of Trends in …, 2023 - researchgate.net
It's really difficult to tell what a person is feeling simply by glancing at their face or their
behaviour. A basic human quality, the ability to decipher nonverbal clues from body …
behaviour. A basic human quality, the ability to decipher nonverbal clues from body …
Secure Optical Wireless Satellite Network based OWC-OCDM System with DDW code
Data security with high transmission rate is one of major concern in these days especially for
multiple users. An optical wireless satellite network basis optical wireless communication …
multiple users. An optical wireless satellite network basis optical wireless communication …
A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit
Intracranial pressure (ICP) is commonly monitored to guide treatment in patients with serious
brain disorders such as traumatic brain injury and stroke. Established methods to assess …
brain disorders such as traumatic brain injury and stroke. Established methods to assess …
A real-time deep learning approach for inferring intracranial pressure from routinely measured extracranial waveforms in the intensive care unit
Objective Intracranial pressure (ICP) is a physiological variable used to assess the
neurological state of patients with life-threatening intracranial pathology, such as traumatic …
neurological state of patients with life-threatening intracranial pathology, such as traumatic …
An Investigation of Advancements in Blockchain Consensus Algorithms & Leading Protocols
By providing decentralized, transparent, and secure solutions, blockchain technology has
revolutionized a number of sectors. The consensus algorithm is one of its key elements that …
revolutionized a number of sectors. The consensus algorithm is one of its key elements that …
[HTML][HTML] Exploring Long Short-Term Memory and Gated Recurrent Unit Networks for Emotion Classification from Electroencephalography Signals
This study delves into comparing LSTM and GRU, two recurrent neural network (RNN)
models, for classifying emotion data through electroencephalography (EEG) signals. Both …
models, for classifying emotion data through electroencephalography (EEG) signals. Both …
Electroencephalography (EEG) Based Prediction of Learning and Responsiveness Among Students
AK Agrawal, B Ahmed, YK Jakhar… - 2023 7th …, 2023 - ieeexplore.ieee.org
The constructivist method of teaching has been shown to have a major influence on the
learning outcomes of students. In order to improve classroom instruction, it is essential to …
learning outcomes of students. In order to improve classroom instruction, it is essential to …