Results 51 to 60 of about 1,432,316 (279)

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced 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

A Three-Branch Time-Frequency Feature Fusion Method Based on Terahertz Signals for Identifying Delamination Defects in Composite Materials

open access: yesSensors
Composite materials are critical components in advanced equipment such as aerospace, however, delamination defects that readily arise during manufacturing and in service present serious risks to equipment safety.
Shengkai Yan   +6 more
doaj   +1 more source

Recurrent Neural Network-Based Model Predictive Control for Multiple Unmanned Quadrotor Formation Flight

open access: yesInternational Journal of Aerospace Engineering, 2019
This paper presents a dynamical recurrent neural network- (RNN-) based model predictive control (MPC) structure for the formation flight of multiple unmanned quadrotors.
Boyang Zhang   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Correction: Liu et al. UAV Path Planning in Threat Environment: A*-APF Algorithm for Spatio-Temporal Grid Optimization. Drones 2025, 9, 661

open access: yesDrones
Error in Figure/Table [...]
Longhao Liu   +6 more
doaj   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

A Study on the Vulnerability of Multilayer Subway Networks Based on the SPM and DQN

open access: yesApplied Sciences
To address the escalating vulnerability of metro systems under multiple perturbations—including extreme rainfall, equipment failures, and passenger surges—this study tackles several limitations in existing research: the predominant focus on single-layer ...
Chen Yang   +5 more
doaj   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

open access: yesAdvanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler   +5 more
wiley   +1 more source

Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK [PDF]

open access: yes, 2015
This work was supported by UK NERC National Environmental Research Council National Capability funding to SMRU, NERC grant No. GE08-001358 to PP, through UK DEFRA support to SMRU, and by development grants from MASTS and Chester Zoo.Wildlife biology ...
Pomeroy, Patrick   +2 more
core   +1 more source

Cooperative Task Planning of Heterogeneous Unmanned Aerial Vehicle Formations Driven by a Multi-Objective Dolphin Echolocation Optimization Algorithm

open access: yesDrones
In the task planning of heterogeneous unmanned aerial vehicle formations, problems such as dynamic topological instability and sparse Pareto front exist, which affect the robustness of the planning. To address this, this paper proposes a cooperative task
Chengyuan Pang   +4 more
doaj   +1 more source

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