Results 71 to 80 of about 112,676 (288)
ABSTRACT This study investigates the effectiveness of drone‐based remote sensing and Google Earth satellite imagery for archaeological prospection in the Bayan Gol Valley, Central Mongolia. Utilizing a fixed‐wing unmanned aerial vehicle (UAV) equipped with RGB and multispectral sensors, we surveyed 655 ha to document Mongol‐period settlement structures
Peter Heimermann +4 more
wiley +1 more source
Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review
Hyperspectral images often contain many mixed pixels, primarily resulting from their inherent complexity and low spatial resolution. To enhance surface classification and improve sub-pixel target detection accuracy, hyperspectral unmixing technology has ...
Jinlin Zou, Hongwei Qu, Peng Zhang
doaj +1 more source
In this paper, the consensus tracking control problem of leader-following nonlinear multiagent systems with iterative learning control is investigated. The model of each following agent consists of second-order unknown nonlinear dynamics and the external
Xiongfeng Deng +3 more
doaj +1 more source
The Hidden Human Factors in Unmanned Aerial Vehicles [PDF]
In April 2006, an Unmanned Aerial Vehicle crashed near Nogales, Arizona. This incident is of interest because it triggered one of the most sustained studies into the causes of failure involving such a vehicle.
Johnson, C.W.
core
Physically Based Predictive Modelling of Archaeological Proxies Using Cropmarks
ABSTRACT Cropmarks, as archaeological proxies, offer a valuable means of detecting buried sites through remote sensing. Yet, the scalability of such methods across varied archaeological contexts remains underexplored, and AI‐based modelling approaches are still in early stages.
Elias Gravanis, Athos Agapiou
wiley +1 more source
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source
Consensus Control of Second-Order Multiagent Systems with Particle Swarm Optimization Algorithm
This paper considers the consensus problem of second-order multiagent systems. Firstly, an improved consensus control protocol is proposed. Then, the convergence of the proposed control protocol is analyzed by applying Lyapunov stability theory. In order
Xiongfeng Deng +3 more
doaj +1 more source
Advances in Triboelectric Nanogenerators With Rotating Structure
The rotating TENG has been widely studied for its superiorities of simple structure, high efficiency, and stable output. This review introduced the four different principles of rotating TENG and offered a thorough summary for performance and application research through three‐level classification. Importantly, the current existing problems, challenges,
Chuguo Zhang +4 more
wiley +1 more source
In recent years, deep learning has been extensively deployed on unmanned aerial vehicles (UAVs), particularly for object detection. As the cornerstone of UAV-based object detection, deep neural networks are susceptible to adversarial attacks, with ...
Hailong Xi +6 more
doaj +1 more source
We address the consensus control problem of time-varying delayed multiagent systems with directed communication topology. The model of each agent includes time-varying nonlinear dynamic and external disturbance, where the time-varying nonlinear term ...
Xiongfeng Deng +3 more
doaj +1 more source

