Results 141 to 150 of about 6,054 (242)

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie   +10 more
wiley   +1 more source

Transcriptional signatures of cortical morphometric variability in temporal lobe epilepsy

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Widespread cognitive deficits in temporal lobe epilepsy (TLE) are associated with macroscale brain structural changes. However, the correlation between the changes in the cortical morphological similarity of the TLE and gene expression remains unclear.
Yaping Dong   +5 more
wiley   +1 more source

Interpretable Machine Learning-Based Concentric Regional Analysis of OCTA Images for Enhanced Diabetic Retinopathy Detection. [PDF]

open access: yesBioengineering (Basel)
Osman SM   +9 more
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

open access: yesEnergy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif   +5 more
wiley   +1 more source

Analysis and Classification of Partial Shading Conditions in Photovoltaic Arrays

open access: yesEnergy Science &Engineering, EarlyView.
This study presents new mathematical models for describing P–V curve extrema under different shading scenarios and applies machine learning classifiers that use features derived from P–V characteristics for accurate fault identification. ABSTRACT With the escalating global transition toward renewable energy, ensuring the operational stability and ...
Hamid Reza Parsa, Mohammad Sarvi
wiley   +1 more source

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