Results 41 to 50 of about 28,380 (258)
MODELLING GROUP ACION UNMANNED AERIAL VEHICLES
Научный вестник МГТУ ГА, 2016 The problems of modeling and planning group flights of unmanned aerial vehicles are considered. Neural network structure is designed for each stage of the planning procedure of group activates.
S. V. Korevanov
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DronesThe paper presents an algorithm for planning agricultural field surveying routes in the presence of obstacles, designed to address precision agriculture tasks.
Kirill Yakunin +4 more
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GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
Advanced Functional Materials, EarlyView.The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Tantalum–Palladium Ultrathin Resistance Hydrogen Sensor
Advanced Functional Materials, EarlyView.Nanoconfined Ta‐alloy thin films enable fast, reversible hydrogen sensing by suppressing unwanted phase transitions. A Ta0.88${\rm Ta}_{0.88}$Pd0.12${\rm Pd}_{0.12}$ sensing layer delivers hysteresis‐free detection from ppb to 100% H2${\rm H}_2$ at room temperature.
Folkert Isaäc Bernhard Straus +2 more
wiley +1 more source
Self‐Adaptive Gradient Interphase Enables Durable Solid‐State Lithium Metal Batteries
Advanced Functional Materials, EarlyView.This work presents a machine learning‐guided interfacial design that forms a self‐adaptive graded interphase on lithium metal anode. A B105M40 composite interlayer evolves into lithiophilic, porous, and fast‐ion‐conducting phases, enabling intimate contact, dendrite suppression, and uniform lithium deposition.
Hongmin Liu +9 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Flight Planning Tool an Aid for Efficient Flight Evaluation
Defence Science Journal, 2022 Airborne surveillance systems have multiple sensors and communication links on board a suitable platform. They work in a cohesive manner to provide effective surveillance over the region of interest. The performance proving of such a system is challenging and requires flight trails extending over years.
M S Easwaran +4 more
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Advanced Materials, EarlyView.A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
Autonomous Flight with Hierarchical Planning
CEAS Aeronautical JournalAbstract A hierarchical planning method with three levels was demonstrated in simulation and in autonomous flight on a Black Hawk helicopter. The reactive terrain avoidance software has been previously flown and has demonstrated the ability to sense and avoid previously unknown terrain while autonomously guiding the aircraft to a destination ...
Chad Goerzen +9 more
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A procedure for delineating a search region in the UAV-based SAR activities
Geomatics, Natural Hazards & Risk, 2017 We propose a simple geometrical approach for delineating a region above which an Unmanned Aerial Vehicle (UAV) should fly to support the Search and Rescue (SAR) activities.
Mirosława Jurecka, Tomasz Niedzielski
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