Results 21 to 30 of about 305,410 (292)

Research on key technologies of intelligent mining system for thin coal seam

Gong-kuang zidonghua, 2019
Development of intelligent mining technologies for thin seam at home and abroad were introduced. Key technologies principle of intelligent mining system for thin coal seam were focused on including follow-up intelligent technology of hydraulic support on
ZHOU Kaiping
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Optimization and simulation of adaptive mining cutting path in complex undulating coal seam

Meitan kexue jishu, 2023
Adaptive cutting planning of shearer based on the fluctuation of coal seam is one of the key problems to realize intelligent unmanned mining in coal mine.
Shixin GONG, Huaiwei REN, Wei HUANG, Jian LI   +3 more
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An Overview of the Use of Neural Networks for Data Mining Tasks [PDF]

, 2012
In the recent years the area of data mining has experienced a considerable demand for technologies that extract knowledge from large and complex data sources.
Alberts B, Alpaydin E, Ando T, Blake CL, Bramer MA, Castanheira LG, Han J, Lu H, Mitchell M, Ni X, Quinlan RJ, Rumelhart DE, Shafer JC, Shendure J, Simić D, Stahl F, Steinwart I, Surjandari I, Wei JS, Widrow B, Witten IH, Zaslavsky B, Zhang D   +22 more
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Research on Multi-vehicle Cooperative Simulation Platform for Intelligent Driving System of Mine Truck

Kongzhi Yu Xinxi Jishu, 2022
With the wide application of intelligent and network technologies in the transportation industry, intelligent driving of mine truck has become an inevitable trend in the development of mining industry.
NIU Lipeng, ZHANG Sha, ZHANG Zhaoyang, CHEN Huaguo, QING Guangming   +4 more
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Real-Time Recognition Method for Key Signals of Rock Fracture Acoustic Emissions Based on Deep Learning

Sensors, 2023
The characteristics of acoustic emission signals generated in the process of rock deformation and fission contain rich information on internal rock damage.
Lin Sun, Lisen Lin, Xulong Yao, Yanbo Zhang, Zhigang Tao, Peng Ling   +5 more
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Apache Mahout’s k-Means vs. fuzzy k-Means performance evaluation [PDF]

, 2016
(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Barolli, Leonard, Bogza, Adriana, Caballé Llobet, Santiago, Xhafa Xhafa, Fatos   +3 more
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An intelligent assistant for exploratory data analysis [PDF]

, 1997
In this paper we present an account of the main features of SNOUT, an intelligent assistant for exploratory data analysis (EDA) of social science survey data that incorporates a range of data mining techniques.
B. S. Everitt, C. A. O'Muircheartaigh, D. E. Goldberg, J. A. Davis, J. A. Davis, J. Dougherty, J. Fox, J. Healey, J. R. Quinlan, J. R. Quinlan, J. W. Tukey, K. M. Ho, L. Breiman, L. Davis, P. D. Scott, P. D. Scott, U. M. Fayyad, W. J. Frawley   +17 more
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Research and practice of intelligent coal mine technology systems in China

International Journal of Coal Science & Technology, 2022
This study considered the role of coal as China’s basic energy source and examines the development of the coal industry. We focused on the intelligent development of coal mines, and introduced the “Chinese mode” of intelligent mining in underground coal ...
Guofa Wang, Huaiwei Ren, Guorui Zhao, Desheng Zhang, Zhiguo Wen, Lingyu Meng, Shixin Gong   +6 more
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Integration of decision support systems to improve decision support performance [PDF]

, 2010
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges.
A Kaklauskas, A Kusiak, AC Marquez, AHB Duffy, Alex H. B. Duffy, B Chae, B Lopez, C Carlsson, C Silva, CD Evans, D Lam, D Mladenic, D Riecken, D Thapa, D Zhang, DA Guerra-Zubiaga, DR Dolk, DR Dolk, DS Linthicum, E Claver, E Thomsen, EJM Lauria, F Kebair, FD Turck, G DeSanctis, G Niu, GD Bhatt, GM Carter, H Lan, HA Simon, HA Simon, HA Simon, HY Lin, I Bose, I Boyle, I Thomas, I Truck, Iain M. Boyle, IH Witten, IK Bindoff, J Kolodner, J Zeleznikow, JE Nelson, JF Courtney, JH Lee, JH Lee, JJ Elam, JO Grady, JP Costa, JP Shim, K Eisenhardt, K Kristensen, K Pal, KQ Byung, KW Lee, L Ding, L Ekenberg, L Ekenberg, L Lin, LA Kurgan, M Alvarado, M Beynon, M Bradford, M Cohen, M Frize, M Harrison, M Limayem, M Wang, MJ Huang, MJ Shaw, ML Markus, MN Huhns, N Bolloju, NR Jennings, O Kwon, P Keen, P Keen, PA Rodgers, PC Nutt, QF Ni, R Anderson, R Anson, R Bellazzi, R Chalmeta, R Denzer, R Kimball, R Orwig, R Vahidov, RE Giachetti, RH Rao, Robert Ian Whitfield, RP Baker, RW Blanning, S Daskalaki, S Liu, S Liu, S Liu, S Szykman, SA Raghavan, SB Eom, SD Pinson, Shaofeng Liu, T Bui, TH Davenport, TJ Hess, TP Gerrity, WA Muhanna, WD Li, WD Li, Y Reich, Y Zhu, YC Tsai, Z Shi   +112 more
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Overview of development and research on intelligent mining robots in China and analysis of typical application scenarios

Meitan kexue jishu
The popularization of the concept of intelligent development in mines and the demand for intelligent construction have driven research in the field of intelligent mining robots in China.
Lei YANG, Shouchen DAI, Jiusheng BAO, Eryi HU, Yan YIN, Lei WANG, Maosen WANG, Kekun ZHANG   +7 more
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