Results 231 to 240 of about 28,744 (310)

Analysis of Surface EMG Signals to Control of a Bionic Hand Prototype with Its Implementation. [PDF]

Sensors (Basel)
Pieprzycki A, Król D, Srebro B, Skobel M.   +3 more
europepmc   +1 more source

c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

, 2014
Martin Sill, Thomas Hielscher, Natália Becker, Manuela Zucknick   +3 more
openalex   +1 more source

Hypoglycaemia Risk Prediction Models for Type 2 Diabetes: A Systematic Review and Meta‐Analysis

Endocrinology, Diabetes &Metabolism, Volume 9, Issue 3, May 2026.
This systematic review and meta‐analysis evaluated existing hypoglycaemia risk prediction models for Type 2 diabetes, finding excellent pooled discrimination (AUC = 0.815) but widespread high methodological bias, highlighting the need for rigorous model optimisation and external validation.
Yiwen Wei, Yu Liu, Jingwen Bo, Xiaoyan Bai   +3 more
wiley   +1 more source

A Cross‐Layer Spatial–Spectral Optimization Framework for Hybrid Routing and Load‐Balanced Channel Allocation in Intelligent Networks

Engineering Reports, Volume 8, Issue 5, May 2026.
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley   +1 more source

Privacy-preserving federated unsupervised domain adaptation with application to age prediction from DNA methylation data. [PDF]

Bioinformatics
Baykara CA, Ünal AB, Pfeifer N, Akgün M.   +3 more
europepmc   +1 more source

A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series

Environmetrics, Volume 37, Issue 4, May 2026.
ABSTRACT Outlier detection in functional time series is challenging due to temporal dependence and the simultaneous presence of magnitude, shape, and partial anomalies. Existing methods often assume independence or rely on model based approaches, such as the Standard Smoothed Bootstrap on Residuals (SmBoR), which may not work well if the model is ...
David Solano, Ruben Dario Guevara, Sergio A. Calderón V., Marc Saez, Maria A. Barceló   +4 more
wiley   +1 more source

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study

Oisin Padraig Brady, Carolina Fuentes, Sean James Johnson, Peter Giles, Caroline Alvares, Joanna Zabkiewicz   +5 more
openalex   +1 more source

Machine Learning–Based Cardiovascular Risk Classification Using Dynamic Time‐Series Features From Carotid Duplex Sonography

International Journal of Imaging Systems and Technology, Volume 36, Issue 3, May 2026.
ABSTRACT Although carotid duplex sonography provides comprehensive hemodynamic and morphological information, clinical assessments typically rely on limited static features and flow velocity measurements. This study investigated the feasibility of applying machine learning to classify cardiovascular disease (CVD) risk using dynamic arterial time‐series
Belilla Yonas Befirdu, Duc‐Manh Dinh, Eui‐Young Choi, Kyehan Rhee   +3 more
wiley   +1 more source