In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
An Improved Space-Based ISAR Simulation Method Using Two-Line Element Data. [PDF]
Zhu W, Hao H, Yu R, Liu D.
europepmc +1 more source
A compact passive engineered surface converts changes in microwave frequency into many distinct illumination patterns, allowing nearby objects to be imaged without mechanical scanning, active tuning, or a large antenna array. Operating from 18 to 28 GHz, the single‐port system uses measured field patterns to reconstruct metallic targets and distinguish
Mohammed H. Arif +6 more
wiley +1 more source
Long-Horizon Constraint-Aware Collaborative Scheduling for Multiple Phased-Array Radars Using Mamba Temporal Encoding and Structured Hybrid Actions. [PDF]
Liu J, Xu J, Xing W, Li M.
europepmc +1 more source
Physical Unclonable Functions From Microwave Metasurface Fingerprints
Nominally identical metasurfaces fabricated through standard PCB processes inevitably contain microscopic fabrication imperfections. This work demonstrates that these unavoidable electromagnetic deviations can serve as unique physical unclonable fingerprints for wireless authentication.
Guanxiong Shen +4 more
wiley +1 more source
Evaluation of a Hybrid Neural-Polynomial Deep Q-Network for Switching-Aware Spectrum Selection in a Controlled Radio-Frequency Measurement-Replay Testbed. [PDF]
Pan Y +8 more
europepmc +1 more source
A Magnetically Programmable Metasurface for Versatile Scattering Manipulation in the Microwave Band
A magnetically programmable metasurface converts external magnetic fields into microwave phase modulation, thereby removing surface bias wiring. This mechanism achieves both retro‐reflective beam control and radar scattering suppression, offering a contactless, barrier‐penetrating solution for on‐demand electromagnetic scattering reconfiguration ...
Lihao Zhu +7 more
wiley +1 more source
Sensor-Driven World Models for Embodied Intelligence: A Survey of Sensor-State-Decision Modeling Across Far-Field and Near-Field Regimes. [PDF]
Yang Y, Feng H, Lu B.
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
Modulating the edge sites of molybdenum disulfide significantly boosts hydrogen production. By depositing Ru to form an edge‐coordinated solid solution, we accelerate water dissociation and shift the hydrogen evolution reaction pathway to Volmer–Tafel.
Jinsong Zhou +12 more
wiley +2 more sources

