The Babylonian Journal of Machine Learning (BJML) (EISSN: 3006-5429) is a specialized publication dedicated to the exploration and integration of modern machine learning methodologies. As a platform for researchers and scholars, the journal focuses on the intersection of cutting-edge advancements in machine learning. Through high-quality articles, it fosters interdisciplinary discussions aimed at propelling forward the field of machine learning research.

Vol. 2024 (2024)

Published: 2024-01-03

DOI: https://doi.org/10.58496/BJML/2024/006
DOI: https://doi.org/10.58496/BJML/2024/003
DOI: https://doi.org/10.58496/BJML/2024/002

Advanced Brain Tumor Classification Using DEEPBELEIF-CNN Method

M.Sahaya Sheela, G. Amirthayogam, J. Jasmine Hephzipah, R. Suganthi, T. Karthikeyan, M Gopianand

89-101

DOI: https://doi.org/10.58496/BJML/2024/009

Random Forest Algorithm Overview

Hasan Ahmed Salman , Ali Kalakech , Amani Steiti

69-79

DOI: https://doi.org/10.58496/BJML/2024/007

A Proposed Method of Gesture-controlled presentation software design

Nadia Mahmood Hussien, Yasmin Makki Mohialden , wurood A. jbara

56-62

DOI: https://doi.org/10.58496/BJML/2024/005

A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision

Ahmed Adil Nafea, Saeed Amer Alameri , Russel R Majeed, Meaad Ali Khalaf , Mohammed M AL-Ani

48-55

DOI: https://doi.org/10.58496/BJML/2024/004

Green Building Techniques: Under The Umbrella of the Climate Framework Agreement

Ali Saleh, Noah Saleh, Obed Ali, Raed Hasan, Omar Ahmed , Azil Alias, Khalil Yassin

1-14

DOI: https://doi.org/10.58496/BJML/2024/001

Enhancing Energy Efficiency With Smart Building Energy Management System Using Machine Learning and IOT

M.Sahaya Sheela, S. Gopalakrishnan, I.Parvin Begum, J. Jasmine Hephzipah, M Gopianand, D. Harika

80-88

DOI: https://doi.org/10.58496/BJML/2024/008
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