Results 101 to 110 of about 5,022,313 (284)
Advanced Science, EarlyView.This study reports lightweight, elastic ceramic fabrics with broadband electromagnetic absorption (EAB = 9.8 GHz) and high‐temperature thermal insulation, enabled by precise microstructural control during ultrafast high‐temperature sintering (UHS), which induces the precipitation of defect‐rich t‐ZrO2 nanograins and turbostratic C nanoclusters.
Jiahao Yang +9 more
wiley +1 more source
Multi-Channel Super-Resolution Reconstruction Model Based on Dual-Band Weather Radar Fusion
Remote SensingDual-band weather radar networks enable complementary multi-radar observations, improving the accuracy, three-dimensional characterization, and early warning capability for severe convective weather.
Siran Yang +6 more
doaj +1 more source
Simulation Model of Logistic Support to Isolated Airspace Smveillance Radar Stations
Promet (Zagreb), 2008 A simulation model of the radar network operation of fivemilitary radar stations has been developed. Simulation waspeiformed in GPSS language and contains the time of operationof five radars through a period of one year, time of plannedpreventive ...
Tomislav Crnković +2 more
doaj +1 more source
Topology-Enabled Finite-Band Absorption Framework Based on a Bioinspired Nested Dual-Loop Architecture. [PDF]
Adv Sci (Weinh)A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Liu S +6 more
europepmc +2 more sources
Advanced Science, EarlyView.This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng +20 more
wiley +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
Advanced Science, EarlyView.ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Modified MXene Aerogel With Broadband Microwave Absorption Inspired by Melanophila Acuminata Beetle
Advanced Science, EarlyView.This work introduces a novel biomimetic strategy inspired by the infrared‐sensing sensilla of the Melanophila acuminata beetle. We have designed a multi‐level aerogel, featuring a three‐dimensional carbon framework decorated with synergistic CeO2 nanoparticles and Ti3C2Tx MXene nanosheets.
Zhiwei Liu +6 more
wiley +1 more source
Advanced Science, EarlyView.By altering surface chemical bonds to prolong relaxation time and shift absorption to lower frequencies, SiC/rare earth–sulfur (RE─S, RE = La, Ce, Pr, Sm, Gd, Er) materials achieve excellent low‐frequency electromagnetic wave absorption under extreme conditions, offering a new direction for designing high‐performance SiC‐based absorbers.
Zhanming Wu +5 more
wiley +1 more source
(Fe4N/GaN)@GC: A Bifunctional Electrocatalyst for High‐Performance Rechargeable Zinc‐Air Batteries
Advanced Science, EarlyView.This work demonstrates that an unprecedented Fe4N/GaN heterostructure, stabilized by a graphitized carbon shell, induces interfacial charge redistribution and optimizes oxygen‐intermediate adsorption, enabling highly efficient bifunctional ORR/OER electrocatalysis for rechargeable zinc‐air batteries.
Xin‐Yuan Wei +8 more
wiley +1 more source
Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems [PDF]
Radioengineering, 2015 In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network.
C. G. Shi, F. Wang, J.J. Zhou, J. Chen
doaj