Results 31 to 40 of about 3,405 (209)
How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley +1 more source
Real-time segmentation method of coal gangue based on adaptive low illumination image enhancement
Aiming at the unfavorable environmental factors such as low brightness of artificial light source and dense distribution of coal gangue in coal mine underground, which lead to the problems of feature extraction difficulty and low localization accuracy of
Yongcun GUO +5 more
doaj +1 more source
Colombia's forests play a crucial role in preserving biodiversity and mitigating climate change, but they are currently facing severe degradation, particularly after the 2016 Peace Agreement. Our literature review highlights a growing research interest in this topic and demonstrates how interdisciplinary approaches combining diverse methods can enhance
Estefanía Muñoz +13 more
wiley +1 more source
Coal Rock Image Feature Extraction and Recognition Method Based on LBP and GLCM
Aiming at the unmanned requirements of coal mining face, a method for extracting and identifying coal rock image features based on LBP and GLCM is proposed. The LBP algorithm is used to judge the difference of the rock texture of the coal block.
WANG Chao, ZHANG Qiang
doaj +1 more source
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi +3 more
wiley +1 more source
UAV-MEMO (Unmanned Aerial Vehicles in Mineral Exploration and Mining Operations in the Arctic Areas of Finland) -hankkeen puitteissa laadittu oikeudellinen selvitys kevyiden miehittämättömien ilma-alusten (UA, UAV) käytön sääntelystä Suomessa.Legal ...
Huttunen, Mikko; id_orcid
core +1 more source
A multi-stage denoising method for rectangular coal-mine roadway point clouds with mixed noise
To address the coexistence of multiple types of noise in point cloud data of rectangular coal-mine roadways, as well as the problems of roadway surface voids, boundary loss, and structural fractures that may be caused by traditional radius filtering and ...
Dandan WANG +4 more
doaj +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
The use of unmanned aerial systems for the mapping of legacy uranium mines
Historical mining of uranium mineral veins within Cornwall, England, has resulted in a significant amount of legacy radiological contamination spread across numerous long disused mining sites. Factors including the poorly documented and aged condition of these sites as well as the highly localised nature of radioactivity limit the success of ...
Martin, P.G. +4 more
openaire +4 more sources
Gas emission prediction of intelligent mines based on PCA-HPO-ELM
The intelligent development of coal mining leads to decreasing annual coal mine safety accidents, yet safety production still requires constant vigilance.
ZHANG Kexue +9 more
doaj +1 more source

