Machine Learning Journals India Scopus IJSREAT Research
🤖 Machine Learning Journals India Scopus – IJSREAT
The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, peer-reviewed, open-access journal supporting research in machine learning, artificial intelligence, computer science, engineering, data science, and emerging technologies. IJSREAT provides an online platform for researchers in India and worldwide seeking a structured venue for machine learning journal publication.
Researchers searching for machine learning journals in India should evaluate journal scope, peer-review procedures, publication policies, article processing charges, DOI options, and current indexing coverage. IJSREAT supports research dissemination through open-access publishing and an online editorial workflow, with publication timelines varying according to editorial assessment, reviewer availability, revisions, and other factors.
🧠 IJSREAT – Machine Learning & AI Research Journal
IJSREAT welcomes original research papers, review articles, and technical studies in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, intelligent systems, and related computer science and engineering disciplines. The journal is designed to provide researchers with an accessible open-access research publication platform.
📚 Scope of Machine Learning Journals in India
The scope includes multidisciplinary machine learning research and intelligent computing applications such as:
🤖 Artificial Intelligence & Machine Learning
- Artificial Intelligence and machine learning algorithms
- Supervised, unsupervised, and semi-supervised learning
- Deep learning and neural networks
- Reinforcement learning and intelligent decision systems
🖼️ Computer Vision & Image Processing
- Image classification and recognition
- Object detection and computer vision applications
- Image processing and pattern recognition
- Deep learning for visual intelligence
💬 Natural Language Processing & Data Science
- Natural Language Processing (NLP)
- Large language models and text analytics
- Big data analytics and data mining
- Predictive modeling and forecasting
🌐 Intelligent Systems & Emerging Technologies
- Federated and edge machine learning
- Automation, robotics, and IoT
- Cloud and distributed intelligent systems
- Quantum computing and AI algorithms
- Applied data science in engineering
🚀 Why Choose IJSREAT for Machine Learning Research?
⚡ Structured Peer Review: Eligible manuscripts undergo editorial assessment and peer-review procedures before an editorial decision is made.
💰 Affordable Publication Options: IJSREAT provides clearly stated article processing charges for Indian and international authors.
🌍 Open-Access Research: Open-access publication provides readers with online access to eligible published research.
📄 DOI Options: DOI-supported publication is available according to the applicable publication choice and journal policy.
📚 Scholarly Visibility: Research may be discoverable through relevant scholarly and research-information platforms, subject to each platform's coverage and indexing policies.
🛡️ Publication Ethics: Authors are expected to submit original work and follow appropriate standards of authorship, citation, research integrity, and publication ethics.
🌐 Indexing & Abstracting for Machine Learning Research
IJSREAT research may be represented across relevant scholarly and research-information services, including:
- Google Scholar
- Elsevier Mendeley
- EuroPub
- DRJI
- I2OR
- Academic Keys
- PDFSR
- ResearchBIB
- SSRN
- WorldCat
- Edocr
- Exlibris
- Semantic Scholar
- Dimensions
- PlumX
Important: Platform coverage and indexing status can change over time. Authors should independently verify the current status of any database, including Scopus, before using an indexing claim for academic, institutional, or promotion requirements. IJSREAT should not be described as Scopus-indexed unless current official Scopus coverage has been independently confirmed.
⚙️ Machine Learning Research Paper Publication Process
- 📤 Step 1 – Online Submission: Submit your manuscript through the IJSREAT editorial management system.
- 🔎 Step 2 – Editorial Screening: The submission is assessed for journal scope and basic requirements.
- 🧾 Step 3 – Peer Review: Suitable manuscripts proceed through the journal's peer-review process.
- ✏️ Step 4 – Revision: Authors may be requested to address reviewer or editorial comments.
- ✅ Step 5 – Editorial Decision: A decision is made based on the editorial and review process.
- 📄 Step 6 – Publication: Accepted manuscripts proceed according to the applicable publication workflow.
Review and publication timelines vary according to manuscript quality, reviewer availability, revision requirements, editorial decisions, and production factors. Therefore, specific review or publication durations should not be considered guaranteed.
💰 Article Processing Charges for Machine Learning Papers
🇮🇳 Indian Authors:
- Without DOI: ₹1,200 + 18% GST
- With DOI: ₹1,400 + 18% GST
🌍 International Authors:
- With DOI: $80 USD
These clearly stated low cost publication options help researchers understand the applicable processing charges before submitting a machine learning manuscript.
🧭 Online Editorial Management System
- 👤 Personalized Dashboard: Manage manuscript-related information online.
- 📊 Manuscript Tracking: Follow available submission and editorial updates.
- 📄 Document Access: Access available publication documents and certificates through the system.
📩 Contact IJSREAT Editorial Team
For manuscript submission assistance and editorial queries, contact: editorinchief@ijsreat.com
🚀 Publish Your Machine Learning Research in India
If you are searching for machine learning journals in India for research in AI, ML, deep learning, computer vision, NLP, data science, cybersecurity, IoT, or intelligent computing, IJSREAT provides a peer-reviewed, open-access publication platform with clearly stated APC and DOI-supported options.
Researchers should review the journal scope, manuscript guidelines, publication policies, applicable fees, and current indexing information before submission.
