Results 61 to 70 of about 320 (151)

Developing the concept of autonomous control of the quarry vehicles movement

, 2021
Introduction. The article presents the results of studies related to the description of the synthesis and further analysis of the dynamic behavior of unmanned vehicles (UMVs) operating at coal opencast mines and other mining enterprises. The relevance of
Boris Fedosenkov, Dmitriy Dubinkin, Wang Zhenbo, Ivan Chicherin   +3 more
core   +1 more source

Emerging issues and research opportunities in vadose zone processes

Vadose Zone Journal, Volume 24, Issue 4, July/August 2025.
Abstract The vadose zone—the variably saturated, near‐surface environment that is critical for ecosystem services such as food and water provisioning, climate regulation, and infrastructure support—faces increasing pressures from both anthropogenic and natural factors, including changing climatic conditions. A more comprehensive understanding of vadose
Ryan D. Stewart, Markus Flury, Hoori Ajami, Ray G. Anderson, Timothy R. Green, Yan Jin, Andres Patrignani, Rose Shillito, Wei Zhang, Majdi R. Abou Najm, Ebrahim Babaeian, Markus Berli, E. N. Jack Brookshire, Aaron L. M. Daigh, Shane Franklin, Jeremy Giovando, Robert Heinse, Josh Heitman, Jingyi Huang, Thijs Kelleners, Mahyar Naseri, Tyson E. Ochsner, Jesse Radolinski, Morteza Sadeghi, Salini Sasidharan, Manoj K. Shukla, Markus Tuller, Ole Wendroth, Joan Wu, Briana M. Wyatt, Yang Yang, Yingxue Yu, Zhuanfang Fred Zhang   +32 more
wiley   +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

Intelligence Mining with Electro-Hydraulic Control Technology

, 2011
The underlying way to reduce accidents is reducing the number of workers on the coal face. Automatic mining can realize this object. The key for unmanned automatic mining is the application of electro-hydraulic control technology used on workface support.
Yong Yi Liu, Yang Zhao, Ming Xin Lu, Ming Feng Lv, Min Li, Ju Guang Wang, Jie Zhao, Jing Wang   +7 more
core   +1 more source

Research on the Cutting Path Control of Coal Mining Machine Based on Dynamic Geological Models

Applied Sciences
Planned cutting is a core technique for intelligent coal mining, relying on high-precision geological models of fully mechanized mining faces to plan the cutting trajectory of mining equipment, with model accuracy as a prerequisite for intelligent mining.
Lin An, Yang Dai
doaj   +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

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

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

An Enhanced Security Autonomous Control System for Unmanned Rubber‐Tired Vehicles Operating in Underground Mines

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
The operating environment in underground mines is complex and fraught with various hazards that pose severe risks to miners’ safety. As an essential auxiliary transportation device in mines, the operational safety and reliability of rubber‐tired vehicles are crucial to coal mine production safety and efficiency.
Zhen Tan, Changzhong Ren, Yongjun Gao, Liang Gao, Baorui Jia, Yuan Nie, Ming Du, Ziyan Ma, Mohammad Rezwan Habib   +8 more
wiley   +1 more source