Results 111 to 120 of about 1,172,450 (279)
Highly Configurable Evolutionary Multi‐Objective Optimisation and Application in UAV Path Planning
ABSTRACT Multi‐objective optimisation is crucial in engineering and real‐world decision‐making. Although traditional decomposition‐based approaches such as MOEA/D yield reasonable results, they depend heavily on expert knowledge. Existing MetaBBO approaches partially alleviate this reliance, however, they offer limited configurability and lack real ...
Kaixu Chen +4 more
wiley +1 more source
ABSTRACT To address the issue of low detection accuracy for zero‐value insulators in distribution lines, this study proposes a novel method for detecting these insulators based on the electroluminescence effect. Through theoretical analysis and experimentation, it was found that the luminescence intensity of ZnS:Cu electroluminescent material varies ...
Jianghai Geng +6 more
wiley +1 more source
A Survey on UAV Control with Multi-Agent Reinforcement Learning
Unmanned Aerial Vehicles (UAVs) have become increasingly prevalent in both governmental and civilian applications, offering significant reductions in operational costs by minimizing human involvement.
Chijioke C. Ekechi +3 more
doaj +1 more source
ABSTRACT Heavy construction machinery is essential for power infrastructure construction and maintenance, making safety distance measurement crucial for ensuring operational safety. Existing methods, which rely on target space mapping, face challenges such as error accumulation and limited accuracy.
Fuqi Ma +4 more
wiley +1 more source
ABSTRACT Unmanned Aerial Vehicle (UAV) inspection of overhead transmission line composite insulators allows for the rapid acquisition of large amounts of infrared images of insulators in service, which can be used to analyse their operational status. However, efficiently and accurately analysing these images remains a challenge.
Zhenan Zhou +7 more
wiley +1 more source
ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve general problems.
Yuanpeng Tan +4 more
wiley +1 more source
Intelligent Information Systems for Agriculture Based onVision Technology
The traditional approach to agriculture is changing due to rapid advances in technologies such as unmanned aerial vehicles (UAVs), proximal and remote sensors, and the Internet of Things (IoT) [...]
Arjun Neupane +2 more
doaj +1 more source
Future of edge AI in biodiversity monitoring
Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet +2 more
wiley +1 more source
A comprehensive review on payloads of unmanned aerial vehicle
The diverse range of uses of unmanned aerial vehicles has garnered significant attention in research. The scientific literature that supports the data obtained from UAVs recording information from various sensors is presented in this manuscript.
Siva Sivamani Ganesh Kumar +1 more
doaj +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source

