Data Science for Genomics (GSK- XGBoost) for Prediction Six Types of Gas Based on Intelligent Analytics-Reference-Cited by-同舟云学术

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Data Science for Genomics (GSK- XGBoost) for Prediction Six Types of Gas Based on Intelligent Analytics

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 22nd International Conference on Computational Science and Its Applications (ICCSA)
language:
Short-container-title:

Author:

Majed Hadeer¹,Al-Janabi Samaher¹^ORCID,Mahmood Saif¹

Affiliation:

1. University of Babylon,Faculty of Science for Women (SCIW),Department of Computer Science,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10064383/10064343/10064459.pdf?arnumber=10064459

Reference30 articles.

1. Assessment of two-phase relative permeability hysteresis models for oil/water, gas/water and gas/oil systems in mixed-wet porous media;oroudi;Fuel,2022

2. Digitalization and corporate transformation: The case of European oil & gas firms

3. Upstream oil and gas production and ambient air pollution in California

4. The analysis of commodity demand predication in supply chain network based on particle swarm optimization algorithm;ao;Journal of Computational and Applied Mathematics,2022

5. A novel tool (FP-KC) for handle the three main dimensions reduction and association rule mining

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Predictive Analytics Models in the Oil and Gas Industries;Sensors;2024-06-20

2. Enhanced Gaining-Sharing Knowledge Optimization Algorithm for 3D Compression of Intrusion Detection Dataset;Lecture Notes in Networks and Systems;2024

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