Results 51 to 60 of about 285 (137)

Construction and correction of a 3D digital twin for a complex gangue-bearing coal seam

Meitian dizhi yu kantan
Objective3D digital twin for complex gangue-bearing coal seams are designed to achieve an information-based description of physical coal seams and faithfully map their virtual forms.
Meichen ZHANG, Lijuan ZHAO, Yadong WANG, Kai ZHANG   +3 more
doaj   +1 more source

Integration of Solar PV Panels in Electric Vehicle Charging Infrastructure: Benefits, Challenges, and Environmental Implications

Energy Science &Engineering, Volume 13, Issue 4, Page 2135-2152, April 2025.
ABSTRACT The urgent need for sustainable transportation has highlighted the integration of solar photovoltaic (PV) panels into electric vehicle (EV) charging infrastructure. This review examines the benefits, challenges, and environmental impacts of this integration.
Abhishek Kumar Tripathi, G. Sree Lakshmi, Heena Mishra, Shravani Chapala, Mamdooh Alwetaishi, Farruh Atamurotov, Natei Ermias Benti, Sreekanth Sura, C. Ahamed Saleel   +8 more
wiley   +1 more source

Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data

Engineering Reports, Volume 7, Issue 1, January 2025.
This work presents a deep learning pipeline to map mineral deposits. The pipeline combines convolutional neural networks with support vector machine. The proposed hybrid pipeline achieves an improved classification accuracy of 95.3%. Experimental results demonstrate the effectiveness of the method for classifying remote sensing imaging data.
Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali   +6 more
wiley   +1 more source

Lightweight Detection Network for Small Target Defects in Shaft Lining Crack

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This study proposes S‐YOLOv8n, a lightweight crack detection model for shaft lining safety, combining convolutional downsampling enhancement (CDE) downsampling and GS‐C2f fusion modules to enhance small‐crack feature extraction while reducing computational costs.
Rui Hu, Xiaofen Jia, Xiaolei Han, Zailiang Jiang, Baiting Zhao   +4 more
wiley   +1 more source

Engineering application and demonstration of intelligent mining control technology for rockburst coal seam

Meitan kexue jishu
How to achieve intelligent, safe and efficient mining of rockburst coal seams is a major engineering and technical challenge facing deep coal mining. The core connotation of this issue lies in the intelligent, unmanned, and inherently safe mining of coal
Hegang QI, Yongxue XIA, Baoyan ZHI, Zihan QIN, Jian CHENG, Kai WANG, Shuwen WANG, Binchang WANG, Guangyu YANG   +8 more
doaj   +1 more source

Model Predictive Control to Promote PV Intake in a Multi‐Energy Based Power Grid

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This study has proposed a hybrid power system consisting of PV power unit, hydrogen‐based energy storage system and micro‐grid system under an operation of artificial intelligence based model predictive control strategy. The purpose of the strategy is to find the best solutions for power flow regulation while both PV power and electrical demands ...
Yongxiang Cai, Hongyan He, Song Zhang, Molin He, Hongwei Li, Yuansheng Liang   +5 more
wiley   +1 more source

The Recent Technological Development of Intelligent Mining in China

Engineering, 2017
In the last five years, China has seen the technological development of intelligent mining and the application of the longwall automation technology developed by the Longwall Automation Steering Committee.
Jinhua Wang, Zenghua Huang
doaj   +1 more source

Image‐based crop disease detection using machine learning

Plant Pathology, Volume 74, Issue 1, Page 18-38, January 2025.
Image‐based crop disease detection using machine learning provides a faster, more accurate alternative to traditional methods, with advancements in AI and imaging platforms expanding its effectiveness. Abstract Crop disease detection is important due to its significant impact on agricultural productivity and global food security.
Aria Dolatabadian, Ting Xiang Neik, Monica F. Danilevicz, Shriprabha R. Upadhyaya, Jacqueline Batley, David Edwards   +5 more
wiley   +1 more source

Quantifying Thermal Spatiotemporal Signatures and Identifying Hidden Mining-Induced Fissures with Various Burial Depths via UAV Infrared Thermometry

Remote Sensing
Hidden mining-induced fissures connected to a goaf may induce spontaneous combustion of abandoned coal, threatening safe coal mining operation and ecological and environmental protection. To identify hidden mining-induced fissures rapidly, accurately and
Duo Xu, Yi-Xin Zhao, Kang-Ning Zhang, Chun-Wei Ling, Peng Li   +4 more
doaj   +1 more source

Design of control system for mine inspection device based on laser SLAM

Meikuang Anquan
In order to realize the unmanned mining of the fully mechanized mining face in the coal mine, instead of the staff to explore and monitor the dangerous mining environment, we designed a control system for a mining inspection device based on laser SLAM ...
Hesong HUANG, Wei REN, Shutong GAO, Yang LI, Zhule YING   +4 more
doaj   +1 more source