Prediction of abrasive weight wear rate using machine learning methods

Mapping Intimacies ◽

10.1063/1.5135156 ◽

2019 ◽

Author(s):

E. A. Kalentiev ◽

V. V. Tarasov ◽

S. Yu. Lokhanina

Keyword(s):

Machine Learning ◽

Wear Rate ◽

Learning Methods ◽

Machine Learning Methods

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Predicting the polyethylene wear rate in pin-on-disc experiments in the context of prosthetic hip implants: Deriving a data-driven model using machine learning methods

Tribology International ◽

10.1016/j.triboint.2019.01.014 ◽

2019 ◽

Vol 133 ◽

pp. 101-110 ◽

Cited By ~ 8

Author(s):

A. Borjali ◽

K. Monson ◽

B. Raeymaekers

Keyword(s):

Machine Learning ◽

Wear Rate ◽

Polyethylene Wear ◽

Data Driven ◽

Hip Implants ◽

Learning Methods ◽

Machine Learning Methods ◽

Pin On Disc

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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

10.3389/978-2-88966-274-6 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Big Data ◽

Hereditary Diseases ◽

Learning Methods ◽

Machine Learning Methods ◽

Interpretable Machine Learning

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Application of machine learning methods for automatic interpretation of open hole logging data

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-11-44-47 ◽

2020 ◽

pp. 44-47

Author(s):

M.A. Basyrov ◽

◽

A.V. Akinshin ◽

I.R. Makhmutov ◽

Yu.D. Kantemirov ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Automatic Interpretation ◽

Open Hole

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TESTING PREDICTION ACCURACY OF HDU ADMISSION FOLLOWING HIGH GRADE SEROUS ADVANCED OVARIAN CANCER CYTOREDUCTIVE SURGERY USING MACHINE LEARNING METHODS.

10.26226/morressier.5fa3ee5d55b1fd4cc4dd93d7 ◽

2020 ◽

Author(s):

Alexandros Laios ◽

Angelika Kaufmann ◽

Mohamed Otify ◽

Diederick De Jong ◽

Tim Broadhead ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Cytoreductive Surgery ◽

Prediction Accuracy ◽

Advanced Ovarian Cancer ◽

High Grade ◽

Learning Methods ◽

Machine Learning Methods

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Evolution of Machine Learning Methods for Memography Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.499502 ◽

2018 ◽

Vol 6 (3) ◽

pp. 499-502

Author(s):

R. Swathi ◽

◽

R. Seshadri ◽

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

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FORECASTING THREATS AND CHOOSING THE OPTIMAL STRATEGY FOR ENSURING ECONOMIC SECURITY USING MACHINE LEARNING METHODS

Scientific Review Series 1 Economics and Law ◽

10.26653/2076-4650-2019-6-09 ◽

2019 ◽

pp. 115-123

Author(s):

Evgeniy A. Voronin ◽

◽

Igor V. Yushin ◽

Keyword(s):

Machine Learning ◽

Optimal Strategy ◽

Economic Security ◽

Learning Methods ◽

Machine Learning Methods

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A Generalized Approach to Soil Strength Prediction With Machine Learning Methods

10.21236/ada464726 ◽

2006 ◽

Author(s):

Peter M. Semen

Keyword(s):

Machine Learning ◽

Soil Strength ◽

Strength Prediction ◽

Learning Methods ◽

Machine Learning Methods

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Machine Learning Methods for Financial Forecasting: Application to the S&P 500

SSRN Electronic Journal ◽

10.2139/ssrn.2554146 ◽

2006 ◽

Cited By ~ 1

Author(s):

Babak Mahdavi Damghani

Keyword(s):

Machine Learning ◽

Financial Forecasting ◽

Learning Methods ◽

Machine Learning Methods

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Can Machine-Learning Methods Predict the Outcome of an NBA Game?

SSRN Electronic Journal ◽

10.2139/ssrn.3208101 ◽

2018 ◽

Cited By ~ 1

Author(s):

Nachi Lieder

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

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Forecasting CO2 Emissions from Energy, Manufacturing and Transport Sectors in Pakistan: Statistical Vs. Machine Learning Methods

SSRN Electronic Journal ◽

10.2139/ssrn.3292279 ◽

2017 ◽

Cited By ~ 1

Author(s):

Hakeem-Ur- Rehman ◽

Raza Rafique ◽

Mohsin Nasir ◽

Muhammad Adnan Zahid Chudhery

Keyword(s):

Machine Learning ◽

Co2 Emissions ◽

Learning Methods ◽

Machine Learning Methods

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