Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges. [PDF]
Viktor P, Kiss G.
europepmc +1 more source
A Gd‐doped Cu2O electrocatalyst disrupts rigid interfacial hydrogen‐bonding networks, creating a free‐water‐rich microenvironment. This accelerates proton‐coupled electron transfer, enabling selective high‐rate CO2‐to‐ethanol conversion with 48.5% Faradaic efficiency at industrially relevant current densities.
Hyunwoo Kim +11 more
wiley +1 more source
Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network. [PDF]
Liu Y +5 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
SpChipADF: An Architecture Design Framework for Radar Signal Processing Hardware Accelerators. [PDF]
Wang H +8 more
europepmc +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
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Prediction of ALK, EGFR and KRAS mutations in lung adenocarcinoma based on PET/CT radiomics by cluster and synthetic minority over-sampling technique. [PDF]
Tang C +8 more
europepmc +1 more source
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil +2 more
wiley +1 more source
Entrained debris records regrowth of the Greenland Ice Sheet after the last interglacial. [PDF]
Holschuh N +7 more
europepmc +1 more source

