Results 181 to 190 of about 133,461 (264)

Performance evaluation of machine learning algorithms for estimating reference evapotranspiration based on NASA POWER weather data: a case study in Nigeria. [PDF]

Front Artif Intell
Faloye OT, Awotoye G, Eludire OO, Olaleye OS, Oluwadare AO, Adeyeri OE, Laokhongthavorn L, Kamchoom V.   +7 more
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

A Review and Experimental Analysis of Supervised Learning Systems and Methods for Protein-Protein Interaction Detection. [PDF]

Int J Mol Sci
Taha K.
europepmc   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Novel method for risk stratification of radiation-induced breast fibrosis: subgroup hypothesis verified by machine learning. [PDF]

NPJ Breast Cancer
Sami A, Seibold P, Sticht C, Giordano FA, Veldwijk MR, Herskind C.   +5 more
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

"Smart" harm reduction vending machines to improve public health: Evaluating the utilization. [PDF]

J Subst Use Addict Treat
Zhang A, Murphy J, Griffin PM, Goodman-Hinnershitz M, Pinto CN, Ballard SM, Grigson PS, Kawasaki SS, Tuan WJ, Zgierska AE.   +9 more
europepmc   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source

Development and validation of a machine learning model for predicting stroke-associated pneumonia in older patients with acute ischemic stroke. [PDF]

Front Neurol
Chu WJ, Zhang SR, Lai QL, Yu JY, Xu YQ.
europepmc   +1 more source