Open Access Machine Learning Journal with Fast Review

Open Access Machine Learning Journal – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, peer-reviewed Open access machine learning journal dedicated to high-quality research in computer science, artificial intelligence, and emerging technologies. With a strong commitment to fast publication, transparent peer review, and low cost article processing charges, IJSREAT ensures rapid global visibility through Google Scholar and recognized indexing platforms.

Established by academicians and industry professionals, this Open access machine learning journal promotes innovative research contributions aligned with UGC CARE-focused academic standards. The journal bridges the gap between theory and application, supporting interdisciplinary advancements in science and engineering.


📘 Scope of the Open Access Machine Learning Journal

As a trusted Open access machine learning journal, IJSREAT welcomes original research papers, review articles, and technical notes that contribute to the advancement of computer science and AI-driven technologies.

🤖 Artificial Intelligence (AI)

  • Explainable AI (XAI) and ethical AI systems
  • Natural Language Processing (ChatGPT, DeepSeek)
  • AI in robotics and automation
  • AI applications in healthcare and diagnostics

📊 Machine Learning & Deep Learning

  • Supervised and Unsupervised Learning models
  • Reinforcement Learning algorithms
  • Federated and Edge Machine Learning
  • Neural networks and predictive analytics

📈 Data Science & Big Data

  • Hadoop and Spark frameworks
  • Business intelligence and forecasting
  • Data visualization techniques
  • Ethics in data collection and usage

🔐 Cybersecurity & Secure ML

  • AI-driven malware detection
  • Network intrusion detection systems (NIDS)
  • Blockchain security models
  • Secure communication protocols

💻 Advanced Computer Science & Engineering

  • Cloud computing and virtualization
  • IoT security and smart systems
  • Computer vision and image processing
  • Robotics and embedded AI systems

🚀 Why Choose This Open Access Machine Learning Journal?

⚡ Rapid Publication: Peer review decisions within 3 days ensuring genuine fast publication.

💰 Low Cost APC: Affordable and transparent fee structure designed for researchers and PhD scholars.

🌍 Google Scholar Indexed: Strong discoverability through Google Scholar and global indexing databases.

📑 UGC CARE Focus: Supports academic and institutional publication standards.

🛡️ Plagiarism Protection: Strict ethical screening and COPE-based review process.

📊 Computer Science Excellence: Broad coverage across machine learning and advanced computer science domains.


📚 Indexing & Abstracting

Indexed in Google Scholar, SSRN, WorldCAT, Dimensions, Semantic Scholar, Mendeley, DRJI, ResearchBIB, Scribd, ISSUU, Academic Keys, EuroPub, Edocr, I2OR, PDFSR, PlumX and more.


📋 Fast & Transparent Publication Process

  • Submit Online: 24/7 editorial management system
  • Initial Response: Within 12 hours
  • Expert Review: Completed within 2 days
  • Decision Notification: Within 3 days
  • Publication & Certificate: Instant PDF access and digital certificate

This streamlined workflow makes IJSREAT a preferred Open access machine learning journal for authors seeking rapid publication, low cost processing fees, and maximum global reach.


💳 Article Processing Charges

Indian Authors:

  • Without DOI: 1200 INR + 18% GST
  • With DOI: 1400 INR + 18% GST

International Authors:

  • With DOI: $60 USD

Transparent and low cost fast publication ensures accessibility for global machine learning researchers.


📩 Submit to the Open Access Machine Learning Journal

For queries: editorinchief@ijsreat.com

🚀 Submit Your Machine Learning Research

If you are searching for a reliable Open access machine learning journal offering fast publication, rapid publication, low cost APC, UGC CARE-focused compliance, and strong indexing in Google Scholar, IJSREAT is your trusted destination for publishing impactful research in machine learning and computer science.

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