Results 21 to 30 of about 783,769 (161)

Image enhancement and recognition algorithms for low-quality coal gangue in underground coal mines

Meitan kexue jishu
To address the issue of insufficient illumination in coal mine shafts leading to low brightness and contrast in captured images, which in turn affects the feature extraction performance of coal gangue detection algorithms, this paper proposes an object ...
Deyong LI, Yuanbo GAO, Yongcun GUO, Shuang WANG, Yuhao YANG, Sihang ZHANG   +5 more
doaj   +1 more source

Molecular Bases and Genetic Design of Rice Disease Resistance for Optimized Yield and Sustainable Agriculture

Advanced Science, EarlyView.
This study integrates rice immune perception, signal transduction, and resistance output into a multi‐omics framework. By combining high‐throughput sequencing, phenomics, and AI‐assisted design with marker‐assisted selection, gene editing, and rapid domestication, we aim to accelerate the precise breeding of disease‐resistant rice varieties by ...
Xinyue Hou, Yuanjiang Cui, Chaoqing Ding, Qian Qian, Deyong Ren   +4 more
wiley   +1 more source

Identification method of coal gangue in special environment of coal mine based on BRS-YOLO algorithm

Meitan xuebao
To address the problems of low detection accuracy, missed detection, and false detection in coal gangue detection systems for underground coal mines caused by low illumination, high noise, motion blur, and other harsh environmental factors, a real-time ...
Deyong LI, Sihang ZHANG, Yongcun GUO, Shuang WANG, Yuhao YANG, Yuanbo GAO   +5 more
doaj   +1 more source

Environmental Transparency Through Digital Transformation: Evidence on Carbon Disclosure Quality From China's Heavy‐Polluting Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The rise of digital transformation (DT) has become an important driver of transparency in corporate environmental disclosure. Whether and how DT is related to the improvement of carbon information disclosure quality, particularly in heavily polluting firms that may have both information and symbolic roles, is still controversial.
Ruixiang Xue, Tze San Ong, Assunta Di Vaio   +2 more
wiley   +1 more source

Real-time segmentation method of coal gangue based on adaptive low illumination image enhancement

Meitan kexue jishu
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, Yuhao YANG, Deyong LI, Shuang WANG, Lei HE, Qisheng LUO   +5 more
doaj   +1 more source

Corporate‐Community Land Governance for Peace: A Governance Materiality Framework for CSR, ESG, and Sustainable Agribusiness

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Within corporate social responsibility (CSR) and environmental, social, and governance (ESG), there is a gap. This paper aims to fill that gap by building on a previous empirical study. It introduces the Land Governance Materiality Framework (LGMF), which redefines land governance as a critical governance skill that impacts ESG performance ...
Ifedayo Grace Malachi, Reza Eslamipoor
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Investigating the mobility of unmanned ground vehicles

, 2009
Unmanned Vehicles have to be as capable if not more capable than a human in the same situation, especially when used by the military to serve as an extension of the soldiers capability on the battlefield.
Prior, Stephen D., Odedra, Sid, Karamanoglu, Mehmet   +2 more
core   +1 more source

A multi-stage denoising method for rectangular coal-mine roadway point clouds with mixed noise

Meitan kexue jishu
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, Shaoyi XU, Weili YAO, Lingyu MENG, Hao WANG   +4 more
doaj   +1 more source

How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory

International Journal of Finance &Economics, EarlyView.
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