NAZMUL HUDA BADHON

Bachelor of Science | Deep Learning Research

Research Publications

JOURNAL Research Article November, 2025  –  Global Energy Interconnection [Q1]

Nazmul Huda Badhon, Imrus Salehin, Md Tomal Ahmed Sajib, Md Sakibul Hassan Rifat, SM Noman, Nazmun Nessa Moon, "TLCNN: Tabular data-based Lightweight Convolutional Neural Network for Electricity Energy Demand Prediction. " on Global Energy Interconnection, 14 November 2025, ISSN: 2590-0358, Elsevier.

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JOURNAL Micro Article October, 2025  –  MethodsX [Q2]

Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Imrus Salehin, Md Sakibul Hassan Rifat, Faysal Ahmed, Nazmun Nessa Moon, "A comparative deep learning methodology for plant insect image classification: assessment of CNN architectures and augmentation techniques " on MethodsX, 17 October 2025. ISSN: 2215-0161, Elsevier.

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JOURNAL Review Article September, 2025  – Engineering Reports [Q2]

Imrus Salehin, Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Md Sakibul Hassan Rifat, Nazrul Amin, Nazmun Nessa Moon, "Systematic Literature Review of LLM–Large Language Models in Medical: Digital Health, Technology and Applications. " Engineering Reports, 7(9): e70365, 12 September 2025. ISSN: 2577-8196, Wiley.

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JOURNAL Data Article January, 2024  – Data in Breif [Q3]

Imrus Salehin, Mahbubur Rahman Khan, Ummya Habiba, Nazmul Huda Badhon, Nazmun Nessa Moon (2024), "BAU-Insectv2: An Agricultural Plant Insect Dataset for Deep Learning and Biomedical Image Analysis " on Data in Brief, 110083, 23 January 2024. ISSN: 2352-3409, Elsevier.

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BOOK CHAPTER Taylor & francis

Imrus Salehin, Nazmul Huda Badhon, Md. Tomal Ahmed Sajib, Md. Sakibul Hassan Rifat, Nazmun Nessa Moon, "Predicting Peak Energy Demand Using Machine Learning Techniques for Efficient Electricity Supply Management. " on Engineering Applications of AI for Demand Forecasting, Taylor & Francis. Accepted on 24 April 2025. (in press).

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