Impact Analysis of the Market Penetration Rate of Connected Vehicles and the Failure Rate of Roadside Equipment on Data Accuracy. [PDF]
Zhan F.
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Spatio-temporal trends, distribution and prediction of tuberculosis incidence in Uganda (2020-2025). [PDF]
Aturinde A, Amanya G, Ikwangu R.
europepmc +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Geospatial modelling for zoonotic disease hotspot identification within a One Health framework: a systematic review. [PDF]
Nyengere J +11 more
europepmc +1 more source
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Algal Symbionts Indicate Heatwave Vulnerability in Corals From Hotspots but Not From Thermal Refugia. [PDF]
Buzzoni D +11 more
europepmc +1 more source
Long-term persistence of <i>Schistosoma mansoni</i> hotspots in western Kenya despite ongoing mass drug administration. [PDF]
Olilah P +7 more
europepmc +1 more source
Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [<sup>18</sup>F]PSMA-1007 PET. [PDF]
Poelarends RJ +4 more
europepmc +1 more source

