Results 141 to 150 of about 14,919,864 (281)
An Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI. [PDF]
Raimundo JNC +3 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Improved Frequency Sweep Keying CDMA Using Faster R-CNN for Extended Ultrasonic Crosstalk Reduction. [PDF]
Park GR, Park SH, Baek KR.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
[An Improved Faster R-CNN Method for Wound Detection]. [PDF]
Zhang S +5 more
europepmc +1 more source
Retracted: Design of Faster R-CNN-Based Fault Detection Method for Subway Vehicles. [PDF]
Methods In Medicine CAM.
europepmc +1 more source
Eye Detection with Faster R-CNN
Liqiang Liu +3 more
openaire +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Effects of transfer learning on seedling detection from drone imagery: a layer freezing study with faster R-CNN. [PDF]
Jeong H, You J, Kim D, Lee PS, Han H.
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

