An Adaptive Support Vector Machine Optimized by an Improved Starfish Optimization Algorithm for Hyperspectral Image Classification. [PDF]
Biomimetics (Basel)Zhang Y, Feng C, Xu Y.
europepmc +1 more source
Epilepsia, EarlyView.Abstract Objective Subscalp electroencephalographic (EEG) systems with few channels have emerged as promising solutions for ultra‐long‐term seizure monitoring, but the impact of montage configuration on automated seizure detection is unclear. We compared automated detection performance between full‐scalp and simulated reduced montages approximating ...
Joe Kojima +8 more
wiley +1 more source
Comparative Analysis of Support Vector Machine Variants for Human Activity Recognition Using Wearable Sensor Data. [PDF]
Sensors (Basel)Hoang ML.
europepmc +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
Leveraging CNN and Transfer Learning With EfficientNet for Enhanced Optical Coherence Tomography (OCT). [PDF]
Int J Biomed ImagingArekanti S +6 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 +7 more
wiley +1 more source
An interpretable multimodal model for early prediction of delayed hematoma progression in frontal lobe contusion: a machine learning approach. [PDF]
Front NeurosciJiang G +9 more
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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
Neurophysiological Characterization of ADHD in Children Using EEG Signals: A Machine Learning Approach to Executive Function Networks. [PDF]
Sensors (Basel)Gutiérrez-Jácome DB +3 more
europepmc +1 more source
Analysis and Classification of Partial Shading Conditions in Photovoltaic Arrays
Energy 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