Results 201 to 210 of about 2,719,560 (294)

SleepStageNet: A Lightweight and Explainable Deep Learning Architecture for Multi-Channel Sleep Staging. [PDF]

Brain Sci
Alhazmi A.
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Sleep stage classification using instantaneous heart and breathing rates with a TCN-BiGRU-SE model. [PDF]

Front Bioeng Biotechnol
Wang Y, Yan J, Li C, Yang H.
europepmc   +1 more source

How We Simulate Nanopores

Small Methods, EarlyView.
Nanopore technology has revolutionized single‐molecule sensing, yet it suffers from an inherent interpretive challenge. Molecular dynamics has emerged as a go‐to method for determining the relationship between the structure of translocating molecules and the nanopore current signals.
Behzad Mehrafrooz, Xavier Mleziva, Meng Xu, Melika Shekari, Christopher Maffeo, Aleksei Aksimentiev   +5 more
wiley   +1 more source

Predicting worsening visual field via masked dual stage attention recurrent neural network. [PDF]

Sci Rep
Park K, Kim H, Moon S, Kim J, Jin S, Lee S, Kim E, Lee J.   +7 more
europepmc   +1 more source

Two‐Stage Power Management for Triboelectric Nanogenerators: Toward Reliable and Efficient Self‐Powered Systems

Safety Science and Technology, EarlyView.
This review systematically outlines two‐stage power management circuits for TENGs, integrating AC–DC and DC–DC conversion to overcome high impedance and unstable output. It highlights strategies for efficient energy extraction and stable power delivery, enabling the development of reliable self‐powered systems for safety monitoring and applications in ...
Jiaxin Hu, Zhiyong Zhang, Haiyang Shao, Tianyu Shi, Baoling Yuan, Ming‐Lai Fu   +5 more
wiley   +1 more source

Fault Diagnosis Method for Reciprocating Compressors Based on Spatio-Temporal Feature Fusion. [PDF]

Sensors (Basel)
Xu H, Ji X, Qin X, An W, Zhang F, Duan L, Wang J.   +6 more
europepmc   +1 more source

A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi, Jiarui Li, Tatsuji Kimura, Hiroaki Nishi   +3 more
wiley   +1 more source

Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA). [PDF]

Sci Rep
Gao X, Li R, Mashhadi A.
europepmc   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source