Results 161 to 170 of about 377,372 (346)
Epilepsia, EarlyView.Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang +10 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models [PDF]
, 2022 Perry Lam +3 more
openalex +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.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
Energy Science &Engineering, EarlyView.The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Equine Veterinary Journal, EarlyView.Abstract Background Racehorses undergo profound physiological changes with training and competition, but current biomarkers inadequately capture the complex molecular dynamics of exercise. This study aimed to identify novel plasma biomarkers of training adaptation and peak load using high‐throughput proteomics.
Jowita Grzędzicka +4 more
wiley +1 more source
Efficient model selection for predictive pattern mining model by safe pattern pruning
, 2023 Takumi Yoshida +5 more
openalex +1 more source
Effect of Pruning Intensity and Potash Spray on Biochemical Composition of Peach [PDF]
, 2020 Lochan Kaushik +6 more
openalex +1 more source
Food Frontiers, EarlyView.High‐purity myricitrin from Chinese bayberry leaves alleviates colonic inflammation by preserving epithelial barrier integrity and reshaping gut microbiota composition. ABSTRACT Polyphenols have been widely recognized for their ability to modulate the host inflammatory response and orchestrate the intestinal microenvironment.
Ji‐Min Lv +7 more
wiley +1 more source