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Kniha 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
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: KS OmniScriptum Publishing
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
1 317 Kč
In today's life, stress has become a big issue because of excessive working load, study pressure, an...

Informace o knize

Autor
Abhijit Kumar Jha, Siddharth Srivastava
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2026
Stránek
120
EAN
9786630078862
ISBN
6630078861
Enbook ID
53023565
Vydavatel
KS OmniScriptum Publishing
Hmotnost
173
Rozměry
152 x 229 x 7

Kompletní popis

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.