Results 191 to 200 of about 1,200,520 (247)

A county-level indicator framework for assessing schistosomiasis transmission risk in post-transmission-interruption China. [PDF]

Infect Dis Poverty
Xu A, Zhu H, Xu J, Shan X, Dong Y, Wang H, Lv C, Huo S, Li S.   +8 more
europepmc   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Online EMG onset detection during sit-to-stand motion using the time derivative of sample entropy. [PDF]

J Neuroeng Rehabil
Scherrer L, Kheddar A, Desmyttere G, Dusfour G, Jorgensen C, Ramdani S.   +5 more
europepmc   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

Integrating Clinical Information and Electrocardiographic Signal Features to Develop a Prediction Model for Postoperative Delirium in Older Patients: A Prospective Observational Study. [PDF]

Int J Gen Med
Wu C, Fan H, Lei L, Dai W, Duan X, Li W.
europepmc   +1 more source

The Key Technologies and Technological Evolution Mechanisms of Robotic Systems for Fracture Reduction Surgery

Advanced Intelligent Systems, EarlyView.
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang, Xiaoyang Hu, Jianhua Li, Fang Wang, Xue Zhang, Lihai Zhang   +5 more
wiley   +1 more source

Temporal Properties of Cardiorespiratory Coupling in Patients with Heart Failure During the Circadian Cycle. [PDF]

Entropy (Basel)
Buitrago-Ricaurte N, Reyes-Lagos JJ, Berg K, González Niño R, Penzel T, Wessel N.   +5 more
europepmc   +1 more source

SFMFNet: Spatial‐Frequency Multiscale Fusion Network for Left Ventricle Segmentation in Echocardiography

Advanced Intelligent Systems, EarlyView.
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li, Patrick Pang, Chi‐Kin Lam, Tao Tan   +3 more
wiley   +1 more source

Classification and Segmentation of Medical Images Using Cross-Representation Attention Fusion and Fuzzy Image Enhancement. [PDF]

Sensors (Basel)
Buriboev AS, Oh R, Akhram N, Dusonov K, Narzullaev I, Buribayev S, Yusupov O, Abduvaytov A, Axmedova A, Lee C, Jeon HS.   +10 more
europepmc   +1 more source

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

Advanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti, Hanyuan Gao, Negin Zeinali, Abdullah‐Bin Siddique, Sara J. Adair, Todd W. Bauer, Matthew J. Lazzara, Xiaoxuan Yang, Nathan S. Swami   +8 more
wiley   +1 more source