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On the intersection of signal processing and machine learning: A use case-driven analysis approach
Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …
significantly expanded the potential for signal-based applications, leveraging the synergy …
A Hybrid Pain Assessment Approach with Stacked Autoencoders and Attention-Based CP-LSTM
Pain assessment is an integral part of healthcare since it enables the optimal management
of patient well-being and the prompt administration of therapies. The ability to precisely …
of patient well-being and the prompt administration of therapies. The ability to precisely …
A quantum machine learning framework for driver drowsiness detection using biopotential signals and head movement analysis
S De, AK Gupta - … IEEE International Conference for Women in …, 2024 - ieeexplore.ieee.org
Road accidents claim numerous lives annually, with drowsiness identified as a primary
catalyst for a substantial portion of these incidents. This study addresses this critical issue by …
catalyst for a substantial portion of these incidents. This study addresses this critical issue by …
EEG-Based Taste Perception Classification Using PCA Enhanced Attention-TLSTM Neural Network
EEG-based taste perception detection offers a unique and valuable insight into how taste
perception occurs. These methods find applications in both clinical and research …
perception occurs. These methods find applications in both clinical and research …
A novel deep learning‐based technique for driver drowsiness detection
Every year, many people lose their lives because of road accidents. It is evident from
statistics that drowsiness is one of the main causes of a large number of car accidents. In our …
statistics that drowsiness is one of the main causes of a large number of car accidents. In our …
BPWave: An advanced Deep Learning Framework for Continuous Non-Invasive Cuffless Blood Pressure Estimation and Hypertension Detection
The precise measurement of blood pressure is essential for evaluating cardiovascular
health and managing hypertension, a significant contributor to global morbidity and …
health and managing hypertension, a significant contributor to global morbidity and …
A Fusion of CNN and Grey Wolf Optimization-Enhanced BiGRU for Epileptic Seizure Recognition Using EEG Signals
Epilepsy, a profoundly impacting neurological disorder, afflicts an estimated 65 million
individuals across the globe. Early detection of seizures, a critical aspect of epilepsy …
individuals across the globe. Early detection of seizures, a critical aspect of epilepsy …
ParViT: A modified Vision Transformer architecture for Parkinson's Disease identification using EEG signals
S De, A Sayyad, H Kotian… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
Parkinson's disease (PD) is a degenerative neurological condition that affects millions of
individuals worldwide and is marked by both motor and non-motor indicators. In order to …
individuals worldwide and is marked by both motor and non-motor indicators. In order to …
AromaNet: Integrating Attention Mechanism with Convolutional Neural Network for Olfactory Perception Classification Using EEG Signals
Today, many people suffer from neurological and psychological issues. Neurological
diseases are commonly characterized by a loss of olfactory sensation. Getting proper …
diseases are commonly characterized by a loss of olfactory sensation. Getting proper …
EEG-Based Intelligence Quotient Assessment Using 1D Convolutional Neural Network
Intelligence Quotient (IQ), a critical measure of cognitive ability, holds significant importance
in assessing an individual's intellectual capabilities. Our study aims to introduce a novel …
in assessing an individual's intellectual capabilities. Our study aims to introduce a novel …