Advanced Materials Technologies, EarlyView.In this study, we propose a biodegradable wireless soil urea sensor for precision agriculture. The sensor's electromagnetic response varies depending on the urea concentration, allowing the measurement of relative soil urea concentrations by analyzing the time‐transient electromagnetic response.
Yu Tanaami +5 more
wiley +1 more source
Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks. [PDF]
Sensors (Basel), 2023 Choi Y, Lim Y.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee +2 more
wiley +1 more source
Optimization of Vehicular Networks in Smart Cities: From Agile Optimization to Learnheuristics and Simheuristics. [PDF]
Sensors (Basel), 2023 Peyman M +5 more
europepmc +1 more source
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
A Multi-Agent Deep Reinforcement Learning-Based Popular Content Distribution Scheme in Vehicular Networks. [PDF]
Entropy (Basel), 2023 Chen W, Huang X, Guan Q, Zhao S.
europepmc +1 more source
Electrohydrodynamically Driven Broadband and Color‐Shifting in Cholesteric Liquid Crystals
Advanced Optical Materials, EarlyView.Ion‐driven electrohydrodynamic effects enable dynamic photonic bandgap modulation in cholesteric liquid crystals under low‐frequency AC driving. By regulating ion‐mediated disturbance of the helical structure, this approach produces two reversible optical responses: rapid color shifting across the visible spectrum and broadband reflection spanning the ...
Cheng‐Kuan Wu +6 more
wiley +1 more source
Deep Reinforcement Learning-Based Coordinated Beamforming for mmWave Massive MIMO Vehicular Networks. [PDF]
Sensors (Basel), 2023 Tarafder P, Choi W.
europepmc +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Adaptive client participation mechanism for federated learning in heterogeneous vehicular networks. [PDF]
Sci RepLin W, Zhou Y.
europepmc +1 more source