Results 151 to 160 of about 276,034 (269)

AI‐Enabled Intelligent Monitoring of Mental Health Indicators During Physical Activity Among Jiangsu Vocational College Students

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
This study presents an AI‐driven framework integrating wearable technology and machine learning to monitor and predict mental health indicators in vocational college students during physical activity, enabling real‐time stress detection, personalized interventions, and early prevention strategies to enhance student well‐being and mental health outcomes.
Yanfeng Shang   +2 more
wiley   +1 more source

Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU

open access: yesGreen Energy and Intelligent Transportation, 2023
Chaolong Zhang   +6 more
semanticscholar   +1 more source

Advances in Delamination Analysis and Damage Prediction: A Comprehensive Review on Polymer Composite Materials

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
This comprehensive study advances delamination analysis in composites through innovative computational methods, experimental validation techniques, and predictive algorithms, collectively enhancing damage progression prediction and structural health monitoring for improved integrity in high‐performance applications.
Dhivya Elumalai   +4 more
wiley   +1 more source

Unified Hysteresis Modeling via Physics‐Based Deep Learning and Data Augmentation

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 379-396, February 2026.
ABSTRACT Deep learning‐based models have recently emerged as alternatives to traditional form‐constrained hysteresis models, including Bouc‐Wen class models, offering significant potential for unified hysteresis modeling to capture complex nonlinearities and diverse response patterns exhibited under stochastic excitations such as ground motions.
Jaehwan Jeon, Oh‐Sung Kwon, Junho Song
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

open access: yesEnergy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali   +6 more
wiley   +1 more source

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