The aim of the Journal of Machine Learning and Deep Learning (JMLDL) E-ISSN: 2978-4336 is to serve as a premier platform for the dissemination of cutting-edge research and advancements in the fields of machine learning (ML) and deep learning (DL). The journal aims to publish high-quality research that contributes to ML and DL's theoretical foundations, algorithms, methodologies, and applications, fostering interdisciplinary collaborations and addressing significant challenges and opportunities in these rapidly evolving fields.

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CURRENT ISSUE

Volume: Volume 2
Issue: Issue 2
Issued On: 2025-12-31
Articles: 3
Pages: 27

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SCHEDULE OF THIS YEAR

2026-06-30 | Bi Annual

TABLE OF CONTENT

1- MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images
Authors: Md. Sazzadul Islam Prottasha, Nabil Walid Rafi

2- Monkeypox Virus Detection Using Deep Learning Methods
Authors: Bilal Shabbir Qaisar, Sunil Ashraf, M. Mudasar Azeem, Muhammad Ali Shahid, Maham Ali, Spogmai, Mubasher Hussain

3- Evaluating DeepMon, Tensor Comprehension, and Glow: Frameworks for Optimizing Convolutional Networks
Authors: Poma Panezai, Hania Batool, Naseer Ahmed, Abdul Qadeer, Bushra Qayyum

ARTICLES IN CURRENT ISSUE

MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images

By: Md. Sazzadul Islam Prottasha, Nabil Walid Rafi | Pages: 1 - 9 | pdf icon

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Monkeypox Virus Detection Using Deep Learning Methods

By: Bilal Shabbir Qaisar, Sunil Ashraf, M. Mudasar Azeem, Muhammad Ali Shahid, Maham Ali, Spogmai, Mubasher Hussain | Pages: 10 - 18 | pdf icon

Open

Evaluating DeepMon, Tensor Comprehension, and Glow: Frameworks for Optimizing Convolutional Networks

By: Poma Panezai, Hania Batool, Naseer Ahmed, Abdul Qadeer, Bushra Qayyum | Pages: 19 - 27 | pdf icon

Open