Results 51 to 60 of about 4,711 (181)

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

Research of intelligentized coal mining mode and key technologies

Gong-kuang zidonghua, 2016
In view of ambiguous status of concept, mode and key technologies of intelligentized coal mining, the paper briefly described concept and difference of unmanned technologies, intelligentized technologies and digitization technologies. In combination with
TIAN Chengji
doaj  

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

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

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

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

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

Asteroid mining [PDF]

The earliest studies of asteroid mining proposed retrieving a main belt asteroid. Because of the very long travel times to the main asteroid belt, attention has shifted to the asteroids whose orbits bring them fairly close to the Earth. In these schemes,
Gertsch, Richard E.
core   +1 more source