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A Machine Learning-Based System to Recommend Appropriate Military Training Program for a Soldier

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Machine Intelligence and Emerging Technologies (MIET 2022)

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Abstract

Each military units have its own branch of service, mission, and composition. Personnel, equipment, training, and operations are all critical basic components of each unit. Recommending appropriate soldiers to pursue appropriate military training is a crucial problem for commanders aiming to increase soldiers’ skills. There have been few studies especially aimed at comprehending the surroundings, challenges, and needs of military personnel in a unit for their daily official obligations, and only a handful of the techniques were previously suggested in a military environment. However, very less attention has been paid to incorporate machine learning(ML) to select appropriate courses for a soldier to improve the troop’s performance. Therefore, the objective of this study is to find out the best-performed ML technique by exploring the existing classifiers. The results demonstrate that when choosing the right military training for a soldier, the random forest algorithm has the highest accuracy (95.83%). The random forest algorithm also yields the greatest AUROC rating, which is 0.972.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka, Bangladesh

    Md Tauhidur Rahman, Raquib Hasan Dewan, Md Abdur Razzak, Sumaiya Nuha Mustafina & Muhammad Nazrul Islam

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  1. Md Tauhidur Rahman
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  2. Raquib Hasan Dewan
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  3. Md Abdur Razzak
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  4. Sumaiya Nuha Mustafina
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  5. Muhammad Nazrul Islam
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Corresponding author

Correspondence to Muhammad Nazrul Islam .

Editor information

Editors and Affiliations

  1. Noakhali Science and Technology University, Noakhali, Bangladesh

    Md. Shahriare Satu

  2. The University of Queensland, St. Lucia, QLD, Australia

    Mohammad Ali Moni

  3. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  4. Daffodil International University, Dhaka, Bangladesh

    Mohammad Shamsul Arefin

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Rahman, M.T., Dewan, R.H., Razzak, M.A., Mustafina, S.N., Islam, M.N. (2023). A Machine Learning-Based System to Recommend Appropriate Military Training Program for a Soldier. In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer, Cham. https://doi.org/10.1007/978-3-031-34622-4_12

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  • DOI: https://doi.org/10.1007/978-3-031-34622-4_12

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-34622-4

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