Results 31 to 40 of about 783,769 (161)

Gas emission prediction of intelligent mines based on PCA-HPO-ELM

矿业科学学报
The intelligent development of coal mining leads to decreasing annual coal mine safety accidents, yet safety production still requires constant vigilance.
ZHANG Kexue, LI Zhongxu, CHEN Xuexi, ZHENG Qingxue, WANG Xiaoling, LI Xiaolei, HOU Dianchen, LI Xinlei, YAN Xingchen, LI Weitao   +9 more
doaj   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

Journal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota, Matthew D. Whiting, Dawood Ahmed, Manoj Karkee   +3 more
wiley   +1 more source

Testing and numerical simulation of mechanical behavior of drilled coal samples under uniaxial compression

Meitan kexue jishu
Coal seam drilling unloading is the most widely used impact ground pressure prevention and control technology in the field, in order to explore the influence of hole defects on the mechanical properties, energy accumulation and release, and damage mode ...
Zhenhua JIAO, Zhihui NI, Hao HU, Liwen YANG, Rui LI, Jiabao MA   +5 more
doaj   +1 more source

Coal Rock Image Feature Extraction and Recognition Method Based on LBP and GLCM

Meikuang Anquan, 2020
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

Indoor UAV for Nuclear Investigation: Experimental Qualification and Field Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Indoor Unmanned Aerial Vehicles (UAVs) have recently gained interest for inspection and investigation tasks in hazardous environments. In the nuclear field, indoor UAVs offer promising capabilities to reduce workers' exposure to ionizing radiation while accessing confined or elevated areas.
Jérémy Seyssaud, Marie Cuozzo, Julien Favrichon, Benjamin Catania, Eric Cantrel, Tadec Marraine, Jérôme Boch   +6 more
wiley   +1 more source

Impacts of Introducing Automation in Mining Operations: Insights From Worker Perceptions

Safety Science and Technology, EarlyView.
This study shows that trust is the strongest predictor of mining workers' situation awareness when using automated systems. Communication and coordination also improve situation awareness through trust, highlighting the need for human‐centered system design and training that support calibrated trust and effective teamwork in safety‐critical operations.
Loreto Codoceo‐Contreras, Maureen Hassall   +1 more
wiley   +1 more source

MIRACLE URBANIZATION: Spatial Production and Political Legitimation in the Sochi 2014 and Beijing 2022 Olympics

International Journal of Urban and Regional Research, EarlyView.
Abstract From desert ski resorts to subtropical Winter Games, there is a global proliferation of ‘mission‐impossible’ mega‐projects. The prevailing frameworks of city branding and urban entrepreneurism fail to explain the political logics behind these seemingly irrational projects.
Yiqiu Liu, Sven Daniel Wolfe
wiley   +1 more source

Multi-Parameter Synergistic Effects on Fine Coal Slurry Sedimentation in High-Gravity Fields: A CFD Study

Separations
This study addresses the technical challenges of conventional coal slurry sedimentation equipment in handling fine coal particles, such as poor settling performance and strong dependence on chemical reagents, by designing a novel high-gravity ...
Lingyun Liu, Huikuan Pan, Wei Ge, Chuilei Kong   +3 more
doaj   +1 more source

A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman, Quazi Mamun, Michael Bewong, Md Zahidul Islam   +3 more
wiley   +1 more source

Accurate prediction method of DE-XRT density of coal gangue based on thickness information

Meitan kexue jishu
In the field of intelligent coal-gangue sorting, the density prediction of materials with wide thickness and density ranges is significantly challenged by the combined effects of dual-energy X-ray transmission physics, data fusion strategies, and complex
Yongcun GUO, Qisheng LUO, Lei HE, Deyong LI, Shuang WANG, Yanqiu ZHAO, Baoying LIU, Ya ZHI   +7 more
doaj   +1 more source