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Research article

First published 2022-3

A comparative study of different prediction models in predicting human resource demands

Bo Huang

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2019-6

An efficient resource prediction–based scheduling technique for scientific applications in cloud environment

Gurleen Kaur, Anju Bala

Concurrent Engineering

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Research article

First published 2018-8

Prediction methods for effective resource provisioning in cloud computing: A survey

K. Dinesh Kumar, E. Umamaheswari

Multiagent and Grid Systems

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Research article

First published 2019-10-25

Using radial basis function neural network to predict dynamic resource availability in heterogeneous distributed environments

Farrukh Nadeem

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2025

Potential prediction method of sports tourism resource development based on Ga-Bp algorithm

Binchao Xu, Biqiong Lu

Journal of Computational Methods in Sciences and Engineering

Open access

Research article

First published 2023-3

A novel Mahalanobis distance method for predicting oil and gas resource spatial distribution

Qiulin Guo, Hongjia Ren, Haoyun Liu [...]

Energy Exploration & Exploitation

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Research article

First published 2025

Application of graph neural networks (GNNs) in learning situation prediction and educational resource recommendation algorithms

Xuan Liu

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2021-12

Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM model

K Valarmathi, S Kanaga Suba Raja

Concurrent Engineering

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Research article

First published 2009-05

Predicting Nursing Human Resources

Allison Squires, Hiram Beltrán-Sánchez

Policy,Politics,& Nursing Practice

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Research article

First published 2019-12

Distributed wind resource assessment: Comparing measured annual energy production with predictions from computational fluid dynamics

Devon L Martindale, Thomas L Acker

Wind Engineering

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