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
Multi-objective optimization of germination process parameters of browntop millet (Brachiaria ramosa) grains for improved bioactive compound production using response surface methodology and genetic algorithm approaches. [PDF]
BMC Plant BiolKang P +5 more
europepmc +1 more source
Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim +3 more
wiley +1 more source
Weighted Sum-Rate Maximization and Task Completion Time Minimization for Multi-Tag MIMO Symbiotic Radio Networks. [PDF]
Sensors (Basel)Suo L, Wang D, Zhou W, Peng X.
europepmc +1 more source
Earthquake 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
An integrated TOPSIS and ARAS method multi-criteria decision-making approach for optimizing investment portfolios using goal programming and genetic algorithm model. [PDF]
Sci RepPisal P +6 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.A real‐time power quality disturbance generator is developed using virtual instrumentation based on LabVIEW and NI MyDAQ. The system generates IEEE‐standard PQ events with controllable noise and harmonics. Measurement uncertainty analysis confirms its reliability for realistic testing of Power Quality Disturbance detection and classification algorithms.
Abdullah Saud +5 more
wiley +1 more source
Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering. [PDF]
Sci RepHakimi A, Farjami H.
europepmc +1 more source
Equine Veterinary Journal, EarlyView.Abstract Background There is emerging evidence for the role of the immune system in osteoarthritis (OA) pathophysiology; however, little is known about how immune cells and the synovial transcriptome are altered in naturally occurring equine OA. Objectives To evaluate synovial fluid (SF) and synovial membrane (SM) immune cell populations and the SM ...
E. J. Secor +7 more
wiley +1 more source
A Fast Synaptic Parameter Estimation Method Based on First- and Second-Order Moments for Short-Term Facilitating Synapses. [PDF]
BiomedicinesZhang J, Li T, Zhang X, Hua LT.
europepmc +1 more source