Chinese Guidelines for the Diagnosis and Surgical Treatment of Adult Obstructive Sleep Apnea (2024)
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Obstructive sleep apnea (OSA) is a common chronic disorder characterized by abnormal breathing during sleeping. OSA can damage various organs throughout the body and is burdensome, both socially and economically. Moreover, as OSA has been increasingly studied in recent years, new evidence‐based guidelines for its diagnosis and surgical ...
Working Group of Guideline for the Diagnosis and Surgical Treatment of Adult OSA +7 more
wiley +1 more source
FPGA Implementation of a Radar-Based Fall Detection System Using Binarized Convolutional Neural Networks. [PDF]
Sensors (Basel)Cho H, Kang S, Jung Y.
europepmc +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
High Voltage, EarlyView.ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
Semi-Supervised Radar Work Mode Recognition Based on Contrastive Learning. [PDF]
Sensors (Basel)Sun P, Du M, Li Z, Chen X, Shi J.
europepmc +1 more source
High Voltage, EarlyView.ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma +4 more
wiley +1 more source
One-Dimensional Convolutional Neural Network for Object Recognition Through Electromagnetic Backscattering in the Frequency Domain. [PDF]
Sensors (Basel)Hossein Zadeh M +3 more
europepmc +1 more source
Neuroanatomy-Informed Brain-Machine Hybrid Intelligence for Robust Acoustic Target Detection. [PDF]
Cyborg Bionic SystShi J, Wang J, Fei W, Feleke AG, Bi L.
europepmc +1 more source
Loanwords and Linguistic Phylogenetics: *pelek̑u‐ ‘axe’ and *(H)a(i̯)g̑‐ ‘goat’1
Transactions of the Philological Society, Volume 123, Issue 1, Page 116-136, March 2025.Abstract This paper assesses the role of borrowings in two different approaches to linguistic phylogenetics: Traditional qualitative analyses of lexemes, and quantitative computational analysis of cognacy. It problematises the assumption that loanwords can be excluded altogether from datasets of lexical cognacy.
Simon Poulsen
wiley +1 more source
Artificial intelligence for monitoring hand hygiene compliance in healthcare settings: A scoping review. [PDF]
PLoS OneLin X, Lv Y, Xiang Q, Cai M, Wang P.
europepmc +1 more source
Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study
BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.ABSTRACT Objective To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. Design Prospective cohort study. Setting BCNatal, a tertiary maternal‐foetal medicine centre (Barcelona, Spain). Population A total of 482 pregnant women diagnosed with preeclampsia between August 2013 and April 2024.
Ohad Houri +18 more
wiley +1 more source