Results 91 to 100 of about 268,742 (315)

Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives

Water Resources Research, 2021
The hydrologic sciences and water resources management have long depended on a combination of in situ measurements and remotely sensed data for research and regulatory purposes.
B. Acharya, Mahendra Bhandari, Filippo Bandini, A. Pizarro, M. Perks, D. Joshi, Sheng Wang, T. Dogwiler, Ram Lakhan Ray, G. Kharel, Sadikshya Sharma   +10 more
semanticscholar   +1 more source

Synergistic Se‐Doping and Accompanying S‐Vacancies Drive Lattice Distortion and p‐Band Modulation for Enhanced Sodium Storage in Sulfides

Advanced Science, EarlyView.
Se‐doping in sulfides facilitates the creation of S vacancies. The collaboration of Se‐doping and S vacancies not only induces lattice distortion to weaken the M─S bonds and lift the p‐band center for improved Na+ adsorption, but also increases the number of charge carriers for an improved electronic conductivity.
Chunyang Xu, Jinfeng Liu, Biao Ma, Yawen Liang, Dongdong Wang, Chengcheng Miao, Jianhua Zhu, Liu Wang, Yunfeng Chao, Xinwei Cui   +9 more
wiley   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation

, 2020
Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation.
Borkin, Michelle A., Dunne, Cody, Jain, Twinkle, Leventidis, Aristotelis, Saffo, David   +4 more
core   +1 more source

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, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

A review on fault-tolerant cooperative control of multiple unmanned aerial vehicles

, 2021
This paper presents the recent developments in Fault-Tolerant Cooperative Control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). To facilitate the analyses of FTCC methods for multi-UAVs, the formation control strategies under fault-free ...
Ziquan Yu, Youmin Zhang, B. Jiang, Jun Fu, Ying Jin   +4 more
semanticscholar   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

, 2018
Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry.
Bock, Julian, Eckstein, Lutz, Kloeker, Laurent, Krajewski, Robert   +3 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source