Results 151 to 160 of about 276,034 (269)
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
A Novelty Temperature Compensation Model for Dual-Mass Vibration MEMS Gyroscope Based on Machine Learning and TTAO-VMD Algorithm. [PDF]
Tan W, Wang Y, Wang X.
europepmc +1 more source
Chaolong Zhang +6 more
semanticscholar +1 more source
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
An intelligent hybrid deep learning-machine learning model for monthly groundwater level prediction. [PDF]
Banadkooki FB +3 more
europepmc +1 more source
Unified Hysteresis Modeling via Physics‐Based Deep Learning and Data Augmentation
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
Sustainable supply chain management using Bi-GRU network optimized by hybrid maritime search and rescue algorithm. [PDF]
Li Z.
europepmc +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
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
Lightweight EEG Phase Prediction Based on Channel Attention and Spatio-Temporal Parallel Processing. [PDF]
Duan S, Yan Y, Guo Q, Li F, Liang H.
europepmc +1 more source

