Results 201 to 210 of about 82,540 (233)
Circuit Design in Biology and Machine Learning. II. Anomaly Detection. [PDF]
Frank SA.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
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
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki +9 more
wiley +1 more source
Contextual information based anomaly detection for multi-scene aerial videos. [PDF]
S G, Verma U, Pai MMM, Pai RM.
europepmc +1 more source
Abstract Objective Focal epilepsy is characterized by progressive cortical thinning, particularly within limbic structures; however, whether this atrophy reflects acquired seizure‐induced damage or shared genetic predisposition remains unresolved. Methods We integrated genome‐wide association study (GWAS) summary statistics from the ILAE Consortium ...
Dingyuan Zhang +9 more
wiley +1 more source
Environmental Noise Dataset for Sound Event Classification and Detection. [PDF]
Fredianelli L +5 more
europepmc +1 more source
The longest-lasting 2023 western North American heat wave was fueled by the record-warm Atlantic Ocean. [PDF]
Lopez H, Lee SK, West R, Kim D, Jia L.
europepmc +1 more source
A near real-time framework for monitoring very-long-period signals at volcanoes. [PDF]
Gammaldi S +8 more
europepmc +1 more source
High-Precision Coal Mine Microseismic P-Wave Arrival Picking via Physics-Constrained Deep Learning. [PDF]
Qin K, Deng Z, Li X, Lian Z, Ye J.
europepmc +1 more source

