Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Advanced Electronic Materials, EarlyView.Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
Multi-Agent Deep Reinforcement Learning for Regional Traffic Signal Control Based on Dynamic Weight Decomposition. [PDF]
Sensors (Basel)Shi P, Zhang Z.
europepmc +1 more source
Advanced Electronic Materials, EarlyView.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
Advances in Engineering Software, 2017 Junchen Jin, Xiaoliang Ma, I. Kosonen
semanticscholar +1 more source
Identifying urban low-altitude traffic corridors: A computational fluid dynamics simulation approach. [PDF]
PLoS OneLiu Z, Wu Z, Wang J, Pan B, Jiang W.
europepmc +1 more source
Market‐Based Nutrition Regulation and Adult BMI Dynamics in Latin America
Agribusiness, EarlyView.ABSTRACT Market‐based nutrition policies, including interpretative labeling systems and taxes on sugar‐sweetened beverages (SSBs), have been widely adopted across Latin America to influence dietary choices and address rising obesity rates. While prior research documents change in food purchasing and product reformulation following these policies ...
Emiliano Lopez Barrera, Grace Melo
wiley +1 more source
Multiscale Wildfire-Evacuation Modeling: Assessing Differential Access to Safe Egress in Marin County, CA. [PDF]
Risk AnalChang S +4 more
europepmc +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
Advanced Intelligent Systems, EarlyView.The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Technique for Applying Collective Dynamic Routing Method in a Wireless Heterogeneous Network with Sensors. [PDF]
Sensors (Basel)Kozlov S, Spirina E, Ulanov A.
europepmc +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced Intelligent Systems, EarlyView.Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source