3-D radar imaging unlocks the untapped behavioral and biomechanical archive of Pleistocene ghost tracks. [PDF]
Urban TM +7 more
europepmc +1 more source
Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images
Nizar Bouhlel, Stéphane Méric
openalex +2 more sources
Reconstruction of Three-Dimensional Images Based on Estimation of Spinning Target Parameters in Radar Network [PDF]
Xiaowen Liu +4 more
openalex +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
An Image Focusing Method for Sparsity-Driven Radar Imaging of Rotating Targets. [PDF]
Nguyen NH +3 more
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
Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System. [PDF]
Zhang Y, Yang Q, Deng B, Qin Y, Wang H.
europepmc +1 more source
Mapping snow cover extent from polarimetric imaging radar
Sang-Eun Park, Yoshio Yamaguchi
openalex +1 more source
Imaging features of abdominal tuberculosis: Always on the radar, never to be missed
Son, Jung Hee
openalex +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

