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Research article

First published 2021-7

Prediction of raw meal fineness in the grinding process of cement raw material: A two-dimensional convolutional neural network prediction method

Gang Liu, Zhiyong Ouyang, Xiaochen Hao [...]

Proceedings of the Institution of Mechanical Engineers,Part I: Journal of Systems and Control Engineering

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Research article

First published 2011-9

The Predictability of DOJ Cartel Fines

John M. Connor, Douglas J. Miller

The Antitrust Bulletin

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Research article

First published 2013-6

Predicting iron ore fines shipment moisture

J. E. Everett, D. Linden, P. Maney

Applied Earth Science: Transactions of the Institutions of Mining and Metallurgy

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Research article

First published 2024-1-10

Fine-grained load balancing with proactive prediction and adaptive rerouting in data center

Weimin Gao, Jiaming Zhong, Caihong Peng [...]

Journal of High Speed Networks

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Research article

First published 1961-05

Cotton Fiber Maturity and Fineness: Both Predicted Separately,Accurately,and Rapidly

Walter E. Chapman

Textile Research Journal

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Research article

First published 1988-8

Prediction of Fine Motor Skills of Children Having Language and Speech Disorders

Ronald K. Sommers

Perceptual and Motor Skills

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Research article

First published 2009-6

Predicting lump and fines finished product grades and lump percentage from head grade

J. E. Everett, T. J. Howard, K. Jupp

Mining Technology: Transactions of the Institutions of Mining and Metallurgy

Open access

Research article

First published 2021-10

DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks

Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2013-12

Fine-motor skills testing and prediction of endovascular performance

Bo Bech, Lars Lönn, Torben V Schroeder [...]

Acta Radiologica

Open access

Research article

First published 2024-7

A Study of Legal Judgment Prediction Based on Deep Learning Multi-Fusion Models—Data from China

Yu Wen, Ping Ti

Sage Open

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