
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 3
Issue: Issue 1
Issued On: 2026-06-30
Articles: 7
Pages: 62
Issue: Issue 1
Issued On: 2026-06-30
Articles: 7
Pages: 62
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SCHEDULE OF THIS YEAR
2026-06-30 | Bi Annual
TABLE OF CONTENT
1- Stress Detection in Humans through Artificial Intelligence Authors: Muhammad Ali Shahid, Maham Ali, Tenvir Ali, Iqra Aslam, Mubasher Hussain, Bilal Shabbir Qaisar 2- Resonance Basins in Neural Networks: A Physics-Inspired Approach to Reducing Hallucinations in Large Language Models Author: Paul D. Markov 3- Data-Driven Optimization of Recyclable Battery Cells for Electrified Systems Using Machine Learning Regression Models Authors: Ahmed Hereiz, Phelopater Ramsis, Doha A. Gomaa, Youssef M. Gunaidi, Mennatallah A. Gomaa, Ali Shoma, Sahar S. Kaddah, Basem Badr 4- Deep Learning vs. Traditional Machine Learning for Consumer Credit Default Prediction: A Comparative Study Author: Nguyen Trung Hieu 5- Mask Detection using Deep Learning Methods Authors:; Bilal Shabbir Qaisar, Iqra Aslam, Syed Anwaar Mehdi, M. Mudasar Azeem, Spogmai, Mubasher Hussain, Maham Ali 6- LSTM Autoencoder vs. Isolation Forest vs. One-Class SVM for Financial Transaction Fraud Detection Author: Nguyen Trung Hieu 7- Transformer-Based Sarcasm Detection in News Headlines Using BERT Authors: Vasireddy Nandini, Uppalapati Siva Sanjay, Vadlana Jyothika, B Ramakrishna





