MC-QDSNN: Quantized Deep Evolutionary SNN With Multi-Dendritic Compartment Neurons for Stress Detection Using Physiological Signals
Long short-term memory (LSTM) has emerged as a definitive network model for analyzing
and inferring time series data since their introduction. LSTM has the capability to not only …
and inferring time series data since their introduction. LSTM has the capability to not only …
[PDF][PDF] Predictive modeling for healthcare worker well-being with cloud computing and machine learning for stress management.
MR Sudha, GBH Malini, R Sankar… - … Journal of Electrical …, 2025 - researchgate.net
This paper provides a new method for stress management-focused predictive modeling of
healthcare workers' well-being via cloud computing and machine learning. The need for …
healthcare workers' well-being via cloud computing and machine learning. The need for …
[图书][B] Soft Computing Techniques in Connected Healthcare Systems
This book provides an examination of applications of soft computing techniques related to
healthcare systems and can be used as a reference guide for assessing the roles of various …
healthcare systems and can be used as a reference guide for assessing the roles of various …
Drowsiness Detection System Using DL Models
U Gupta, YP Nagasai, S Gupta - International Conference on Data …, 2023 - Springer
A feeling of being sleepy and lethargic, combined with driving is a dangerous mixture.
Drowsy driving usually happens due to lack of sleep, untreated sleep disorders, drinking …
Drowsy driving usually happens due to lack of sleep, untreated sleep disorders, drinking …
Maternal Health Risk Prediction Model Using Artificial Neural Network
D Kumari - Soft Computing Techniques in Connected Healthcare … - taylorfrancis.com
Maternal health refers to the health of a woman and her baby during the birth of the child,
pregnancy, and postpartum. The well-being of both is expected during all three stages, and …
pregnancy, and postpartum. The well-being of both is expected during all three stages, and …