Results 221 to 230 of about 8,269,511 (303)

Knowledge-driven teaching-learning-based optimization algorithm for bi-objective flexible job-shop scheduling problem with tool allocation. [PDF]

PLoS One
Chen K, Yuan X, Tan W.
europepmc   +1 more source

Assessment of In-Frame Indel Variants in an Unsolved Cohort of Inherited Retinal Diseases Using Machine Learning. [PDF]

Hum Mutat
Rauch DE, Wang M, Hafiz MJH, Brock DC, Li Y, Marra M, Pennesi ME, Yang P, Lesley E, Lopez I, Koenekoop R, Collantes ER, Bolinao J, Chen R.   +13 more
europepmc   +1 more source

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Machine Tools

2022
Wasim Ahmed Khan, Khalid Rahman, Ghulam Hussain, Ghulam Abbas, Xiaoping Wang   +4 more
openaire   +2 more sources

Mechanical interfaces in machine tools

CIRP annals, 2022
Machine tools involve various mechanical interfaces in different forms and styles, which affect performance significantly in terms of rigidity, thermal stability, precision, and accuracy.
E. Budak, A. Matsubara, A. Donmez, J. Munoa   +3 more
semanticscholar   +1 more source

Machine Learning: New Ideas and Tools in Environmental Science and Engineering.

Environmental Science and Technology, 2021
The rapid increase in both the quantity and complexity of data that are being generated daily in the field of environmental science and engineering (ESE) demands accompanied advancement in data analytics.
Shifa Zhong, Kai Zhang, M. Bagheri, J. Burken, A. Gu, Baikun Li, Xingmao Ma, B. Marrone, Z. Ren, Joshua Schrier, Wei Shi, Haoyue Tan, Tianbao Wang, Xu Wang, Bryan M. Wong, Xusheng Xiao, X. Yu, Junjie Zhu, H. Zhang   +18 more
semanticscholar   +1 more source

A generic energy prediction model of machine tools using deep learning algorithms

, 2020
Energy prediction of machine tools plays an irreplaceable role in energy planning, management, and conservation in the manufacturing industry. In the era of big machinery data, data-driven energy prediction models of machine tools have achieved ...
Yan He, Pengcheng Wu, Yufeng Li, Yulin Wang, Fei Tao, Yan Wang   +5 more
semanticscholar   +1 more source

A method of NC machine tools intelligent monitoring system in smart factories

Robotics Comput. Integr. Manuf., 2020
The construction of effectual connection to bridge the gap between physical machine tools and upper software applications is one of the inherent requirements for smart factories.
Wei Liu, Chuipin Kong, Q. Niu, Jingguo Jiang, Xionghui Zhou   +4 more
semanticscholar   +1 more source

Machine learning based very short term load forecasting of machine tools

Applied Energy, 2020
With the ongoing integration of renewable energies into the electrical power grid, industrial energy flexibility gains importance. To enable demand response applications, knowledge about the future energy demand is necessary.
Bastian Dietrich, J. Walther, M. Weigold, E. Abele   +3 more
semanticscholar   +1 more source