Results 241 to 250 of about 1,208,657 (304)
YOLO-SCC: A Lightweight Object Detection Method for Mine Safety. [PDF]
Sensors (Basel)Wu Z, Zhang X, Cui Y, Yang Y, Li Y.
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Artificial Intelligence in Food-Nutrition-Health Research: From Multimodal Data Integration to Precision Intervention. [PDF]
J Food SciWu X, Feng J.
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Wet-Grinding Reactivation and Frost Resistance of Waste Sludge from a Concrete Mixing Plant: A Case Study of Large-Scale Mine Construction in the Xinjie Taigemiao Mining Area. [PDF]
Materials (Basel)Wang L +7 more
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Study on coal wall spalling mechanism of large mining height working face based on folding mutation theory. [PDF]
Sci RepLi G +5 more
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Structural requirements for intelligent clinical digital twins in feedback-driven care. [PDF]
Npj Health SystWang Y +7 more
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IFAC Proceedings Volumes, 1995
Abstract Mining is commonly seen as a typical basic industry with rough and even dangerous working conditions, heavy environmental load, and a low level of high-technology and automation with much manual work and operations. A mining operation (open pit or underground) is a very complex one consisting of many manual, physical, mechanical and ...
Paavo Uronen, Raimo Matikainen
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Abstract Mining is commonly seen as a typical basic industry with rough and even dangerous working conditions, heavy environmental load, and a low level of high-technology and automation with much manual work and operations. A mining operation (open pit or underground) is a very complex one consisting of many manual, physical, mechanical and ...
Paavo Uronen, Raimo Matikainen
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Expert Systems With Applications, 2011 [[abstract]]A data warehouse is an important decision support system with cleaned and integrated data for knowledge discovery and data mining systems. In reality, the data warehouse mining system has provided many applicable solutions in industries, yet ...
Wen-Yang Lin, Chuan-Chun Wu
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Mining web navigations for intelligence
Decision Support Systems, 2006The Internet is one of the fastest growing areas of intelligence gathering. We present a statistical approach, called principal clusters analysis, for analyzing millions of user navigations on the Web. This technique identifies prominent navigation clusters on different topics.
Harris Wu +3 more
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