Results 241 to 250 of about 8,113 (297)

A Review of Fault Diagnosis Methods: From Traditional Machine Learning to Large Language Model Fusion Paradigm. [PDF]

Sensors (Basel)
Nie Q, Geng J, Liu C.
europepmc   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

An explainable deep learning framework for biosensing data interpretation in biomedical engineering and real-time health diagnostics. [PDF]

Front Bioeng Biotechnol
Yang Z, Huang W, Zhang H.
europepmc   +1 more source

Predicting concrete compressive strength using optimized deep learning and large language models. [PDF]

Sci Rep
Zaman S, Eid MM, Mattar EA, Khafaga DS, Towfek SK.   +4 more
europepmc   +1 more source

Nutrient-Aware Personalized Meal Recommendation Using Structured Food Knowledge and Constraint Verification. [PDF]

Foods
Fu Y, Cai L, Wu R, Kang Y, Zhao Y.
europepmc   +1 more source

Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems. [PDF]

Sci Rep
Rajalakshmi M, Velmurugan T.
europepmc   +1 more source

Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA. [PDF]

Front Digit Health
Thio S, Lewis M, Denaxas S, Dobson RJB.
europepmc   +1 more source

A digital twin model for grain enterprise financial shared service centers based on distributed deep learning and neural symbolic reasoning. [PDF]

Sci Rep
Wei Y.
europepmc   +1 more source