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Carte Proactive Stress Management Using LSTM Forecasting, Deep Reinforcement Abhijit Kumar Jha

Proactive Stress Management Using LSTM Forecasting, Deep Reinforcement

Autor: Abhijit Kumar Jha, Siddharth Srivastava
Limbă: engleză
Legare: Carte broșată
Editura: KS OmniScriptum Publishing
Disponibilitate: În depozitul extern
Expediem în 8-11 zile
319.70 lei
In today's life, stress has become a big issue because of excessive working load, study pressure, an...

Informații despre carte

Autor
Abhijit Kumar Jha, Siddharth Srivastava
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2026
Pagini
120
EAN
9786630078862
ISBN
6630078861
Enbook ID
53023565
Editura
KS OmniScriptum Publishing
Greutate
173
Dimensiuni
152 x 229 x 7

Descriere completă

In today's life, stress has become a big issue because of excessive working load, study pressure, and unhealthy lifestyle habits. It also impacts the physical health. Typical stress monitoring systems are largely reactive, meaning that they only detect stress once it has occurred, and thus cannot provide timely intervention. In this study, a proactive stress management model based on the wearable physiological signals and intelligent decision-making is proposed, with the aim of predicting or controlling the physiological changes caused by stress by using physiological signals as the input to the system. The proposed system combines three models: Bidirectional Long Short-Term Memory (Bi-LSTM) forecasting, Deep Reinforcement Learning (DRL), and SHAP explainability, to create a predictive and adaptive health support system.