Results 131 to 140 of about 95,777 (258)

Deploying TinyML for energy-efficient object detection and communication in low-power edge AI systems. [PDF]

Sci Rep
Bhushan CM, Koppuravuri P, Prasanthi N, Gazi F, Hussain MM, Abdussami M, Devi AA, Faizi J.   +7 more
europepmc   +1 more source

Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning

Journal of Sleep Research, EarlyView.
ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, Juan Antonio Ortega, Ralf Seepold   +4 more
wiley   +1 more source

EncoderMap III: A Dimensionality Reduction Package for Feature Exploration in Molecular Simulations. [PDF]

J Chem Inf Model
Sawade K, Lemke T, Peter C.
europepmc   +1 more source

Sequential Outlier Detection in Nonstationary Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs, Patrick Bastian, Holger Dette   +2 more
wiley   +1 more source

torchtree: Flexible Phylogenetic Model Development and Inference Using PyTorch. [PDF]

Syst Biol
Fourment M, Macaulay M, Swanepoel CJ, Ji X, Suchard MA, Matsen Iv FA.   +5 more
europepmc   +1 more source

A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features

Orthopaedic Surgery, Volume 17, Issue 5, Page 1513-1524, May 2025.
This study developed an automated distal radius fracture classification system based on statistical shape model (SSM) feature extraction and neural network classification. The method first extracts point cloud data from CT images, then extracts fracture features through registration, downsampling, and PCA dimensionality reduction, before inputting them
Xing‐bo Cai, Ze‐hui Lu, Zhi Peng, Yong‐qing Xu, Jun‐shen Huang, Hao‐tian Luo, Yu Zhao, Zhong‐qi Lou, Zi‐qi Shen, Zhang‐cong Chen, Xiong‐gang Yang, Ying Wu, Sheng Lu   +12 more
wiley   +1 more source

Predictive optimization of curcumin nanocomposites using hybrid machine learning and physics informed modeling. [PDF]

Sci Rep
Rahdar A, Fathi-Karkan S, Shirzad M.
europepmc   +1 more source

Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng, Yushan Guo, Qingyi Liu, Fei Liu, Jiefei Shen, Junfei Shen   +5 more
wiley   +1 more source

Intelligent Sports Weights. [PDF]

Sensors (Basel)
Duarte ODS, Jacinto G, Véstias M, Policarpo Duarte R.   +3 more
europepmc   +1 more source

ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U‐Nets

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2384-2396, April 2026.
ABSTRACT Purpose To propose a spatio‐temporal U‐Net based network (4DST) that exploits both spatial and dynamic information while avoiding memory‐intensive 4D convolutional layers for ASL‐based non‐contrast enhanced 4‐dimensional MR angiography (4D MRA) vessel segmentation.
Sang Hun Chung, Zihan Wang, Tianrui Zhao, Zhitao Li, Chase S. Krumpelman, Sarah J. Moum, Sameer A. Ansari, Lirong Yan   +7 more
wiley   +1 more source