EPOCHS: Journal of Applied Machine Learning and Deep Learning

About the Journal

EPOCHS: Journal of Applied Machine Learning and Deep Learning is an open-access, peer-reviewed journal publishing original research on applied machine learning, deep learning, and their real-world applications across healthcare, agriculture, engineering, and industry. Published bi-monthly by Pravidhi Journals.

Aims and Scope

EPOCHS encourages original and significant contributions that advance theory, methodology, and practical applications of machine learning and deep learning, including but not limited to:

• Applied Machine Learning and Deep Learning
• Neural Networks and Computer Vision
• Natural Language Processing
• Biomedical Signal Processing and Healthcare AI
• Quantum-Classical Hybrid Models
• AI Applications in Agriculture, Transportation, and Industry

Quick Facts

• Title:EPOCHS: Journal of Applied Machine Learning and Deep Learning
• Journal Start Year: 2026
• Frequency of Publication: Bi-Monthly (06 issues per year)
• ISSN (Online):
• Peer Review Process: Double Blind Peer Review
• Subject: Engineering & Emerging Technologies
• Languages: English
• Accessibility: Open Access
• Plagiarism Checker: iThenticate
• Publication Format: Online
• Citation Style: APA 7th Edition
• Decision Timeline: 45 days