Results 71 to 80 of about 7,075 (185)

The Use of Artificial Intelligence in Neonatal Seizure Detection: An Artificial Intelligence‐Assisted Systematic Review

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai, Kee Thai Yeo, Juin Yee Kong, Menghao Duan, Shaun Wen Huey Lee, Nathorn Chaiyakunapruk, Karan Varshney, Colleen Ovelman, Kee‐Hsin Chen   +8 more
wiley   +1 more source

Performance and Reliability Analysis of Prioritized Safety Messages Broadcasting in DSRC With Hidden Terminals

IEEE Access, 2020
In this paper, we design a mathematical model for performance and reliability evaluation of the IEEE 802.11p Enhanced Distributed Channel Access (EDCA) broadcast scheme in Dedicated Short-Range Communication (DSRC) with the presence of hidden terminals ...
Lin Hu, Zhijian Dai
doaj   +1 more source

Optimal Detection and Error Exponents for Hidden Semi-Markov Models [PDF]

IEEE Journal of Selected Topics in Signal Processing, 2018
We study detection of random signals corrupted by noise that over time switch their values (states) between a finite set of possible values, where the switchings occur at unknown points in time. We model such signals as hidden semi-Markov signals (HSMS), which generalize classical Markov chains by introducing explicit (possibly non-geometric ...
Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic 0001   +4 more
openaire   +3 more sources

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

Quantized H_∞ Feedback Control of Semi-Markov Jump Systems With Limited Mode Information

IEEE Access, 2020
This paper concerns the quantized H∞ feedback control problem for a class of semi-Markov jump systems with limited mode information. In networked control loop, the network-induced phenomenon limits the accuracy of the signal transmission. The mode
Ming Xu, Zhaowen Xu, Longhua Ma, Haoyi Que   +3 more
doaj   +1 more source

SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules. [PDF]

PLoS ONE, 2016
The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational biology. Limited by the difficulty of using an HMM to model dependent features in transcriptional regulatory sequences (TRSs), the probabilistic modeling methods ...
Haitao Guo, Hongwei Huo, Qiang Yu
doaj   +1 more source

Domestication‐associated reduction of methyl salicylate in tomato root and its significance for resistance to root‐knot nematode

New Phytologist, EarlyView.
Root volatile profiling reveals domestication‐associated variation in methyl salicylate (MeSA) accumulation in tomato. Summary Methyl salicylate (MeSA) plays diverse roles in the aerial parts of plants. By contrast, its biosynthesis and function in roots remain poorly understood.
Weijiao Wang, Manoj Sapkota, Sobhan Bahrami Zadegan, Tarek Hewezi, Esther van der Knaap, Feng Chen   +5 more
wiley   +1 more source

An Improved Fault Detection Method based on HSMM: Application to a Chemical Process

International Journal of Prognostics and Health Management
This paper proposes a fault detection method for multivariate statistical process control. The proposed method combines the Forward-Backward Hidden Semi-Markov Model (HSMM) and Principal Component Analysis (PCA). A stochastic automaton was used for multi-
Lestari Handayani, Pascal Vrignat, Frédéric Kratz   +2 more
doaj   +1 more source

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration

Frontiers in Robotics and AI, 2016
Designed to safely share the same workspace as humans and assist them in a variety of tasks, the new collaborative robots are targeting manufacturing and service applications that once were considered unattainable.
Sylvain eCalinon, Leonel eRozo, João eSilvério, Darwin Gordon Caldwell   +3 more
doaj   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, Volume 79, Issue 10, Page 2291-2369, October 2026.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source