ChatGPT in Waste Management: Is it a Profitable

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Published: 2023-11-02
DOI: https://doi.org/10.58496/MJBD/2023/014

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Thaeer Mueen Sahib
Kufa Technical Institute, Al-Furat Al-Awsat Technical University, Kufa 540011, Iraq
Hussain A. Younis
School of Computer Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
Osamah Mohammed Alyasiri
Karbala Technical Institute, Al-Furat Al-Awsat Technical University, 56001, Karbala
Ahmed Hussein Ali
Department of Computer, College of Education, AL-Iraqia University, Baghdad, Iraq.
Sani Salisu
Department of Information Technology, Federal University Dutse, Dutse720101, Nigeria
Ameen A. Noore
Computer Science Department, College of Education, University of Al-Mustansirya, Baghdad 10045, Iraq
Israa M. Hayder
Qurna Technique Institute, Southern Technical University, Basrah 61016, Iraq
Misbah Shahid
Department of English, University of Kotli Azad Jammu and Kashmir, Pakistan

Abstract

Editorial Article

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Vol. 2023 (2023)

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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

Osamah Mohammed Alyasiri, Karbala Technical Institute, Al-Furat Al-Awsat Technical University, 56001, Karbala

OSAMAH MOHAMMED ALYASIRI received the B.Sc. degree in computer science from Mustansiriyah University, Iraq, in 2009, and the M.Sc. degree in computer science from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU) University, India, in 2013, He is currently pursuing a Ph.D. degree with the School of Computer Sciences, Universiti Sains Malaysia. He is also a Lecturer at Al-Furat Al-Awsat Technical University, Karbala Technical Institute, Department of Computer Systems Techniques, Iraq. His research interests include optimization, pattern recognition, text classification, information retrieval, machine learning, and feature selection.

How to Cite

Mueen Sahib, T., Younis, H. A., Mohammed Alyasiri, O., Ali, A. H., Salisu , S., Noore, A. A., Hayder, I. M., & Shahid, M. (2023). ChatGPT in Waste Management: Is it a Profitable. Mesopotamian Journal of Big Data, 2023, 107-109. https://doi.org/10.58496/MJBD/2023/014