Results 161 to 170 of about 1,355,935 (279)

Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection

Advanced Science, Volume 13, Issue 7, 3 February 2026.
BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He, Yanjun Ding, Timon Rabczuk, Chensen Ding   +3 more
wiley   +1 more source

Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease. [PDF]

Front Physiol, 2021
Guo X, Zhou W, Yu Y, Cai Y, Zhang Y, Du A, Lu Q, Ding Y, Li C.   +8 more
europepmc   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 more
wiley   +1 more source

A Statistical Shape Modeling Approach for the Derivation of a Data‐Driven Geometry‐Aware Lumped Arterial Stenosis Model

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 2, February 2026.
A data‐driven workflow for constructing a geometry‐aware lumped arterial stenosis model: Statistical shape modeling extracts geometry‐specific shape modes from synthetically generated coronary lesion geometries. Large‐scale 3D CFD simulations over varying Reynolds numbers yield the geometries their viscous (Kv) and inertial (Kt) loss coefficients. Then,
P. L. J. Hilhorst, S. C. F. P. M. Verstraeten, K. Zając, R. Ganesan, M. van 't Veer, F. N. van de Vosse, W. Huberts   +6 more
wiley   +1 more source

Hybrid Prediction Method for ECG Signals Based on VMD, PSR, and RBF Neural Network. [PDF]

Biomed Res Int, 2021
Huang F, Qin T, Wang L, Wan H.
europepmc   +1 more source

Geometric Microstructural Characteristics of White Matter Differentiate Patients With Facial Dyskinesias and Palsy

CNS Neuroscience &Therapeutics, Volume 32, Issue 2, February 2026.
Patients with facial dyskinesias and palsy show distinct white matter geometric microstructural patterns. Meige's syndrome patients exhibit markedly altered white matter integrity and geometry, while facial palsy patients' white matter features correlate with clinical severity.
Hua Zhu, Aocai Yang, Jixin Luan, Manxi Xu, Bing Liu, Kuan Lv, Pianpian Hu, Amir Shmuel, Haogang Zhu, Zhen Yuan, Ni Shu, Jian Cheng, Guolin Ma   +12 more
wiley   +1 more source

Impact of Feature Engineering on Machine Learning Models for Heart Disease Prediction Across Multiple Data Sources

Engineering Reports, Volume 8, Issue 2, February 2026.
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil, Md. Rafiqul Islam, Saurav Chandra Das, Uzzal Kumar Acharjee, Md. Manowarul Islam, Mahir Mahbub   +5 more
wiley   +1 more source

RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system. [PDF]

PLoS One, 2021
Khan ZA, Khan L, Ahmad S, Mumtaz S, Jafar M, Khan Q.   +5 more
europepmc   +1 more source

Predicting BNPL Loan Defaults: A Comparison of Ensemble Learning Models Combined With Balancing Techniques and an Analysis of the Impact of Digital Literacy

Engineering Reports, Volume 8, Issue 2, February 2026.
In this study, we predicted BNPL loan defaults by introducing two new variables related to the use of digital banking platforms and assessing their impact. We compared ensemble learning models in combination with data balancing methods and logistic regression (for feature selection).
Parivash Khalili, Mehrdad Kargari, Mohammad Ali Rastegar, Abdollah Eshghi   +3 more
wiley   +1 more source

Predicting Seismic Debris Distributions of Collapsed Unreinforced Masonry Structures Through Physics Engines and Machine Learning Algorithms

Earthquake Spectra, Volume 42, Issue 1, February 2026.
Unreinforced masonry (URM) structures are widespread worldwide, particularly in older urban districts. However, URM buildings—particularly those constructed before the introduction of modern building codes—are highly vulnerable to seismic hazard, and prone to experiencing local and/or global failures when subjected to significant horizontal shaking ...
Jiadaren Liu, Ersilia Giordano, Daniele Malomo   +2 more
wiley   +1 more source