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Where to Publish Machine Learning Paper in India | IJIRE

Category: Blog

Date: 2026-09-24

Where to Publish Machine Learning Paper in India | IJIRE

๐Ÿง  Where to Publish Machine Learning Paper โ€“ IJIRE

Researchers searching for where to publish machine learning paper can evaluate journals based on research scope, peer-review practices, publication model, editorial workflow, publication charges, and indexing information. The International Journal of Innovative Research in Engineering (IJIRE), e-ISSN: 2582-8746, is a bi-monthly, peer-reviewed, open-access international journal covering Machine Learning, Artificial Intelligence, Computer Science, Engineering, Science, and Technology.

IJIRE provides an online platform for academicians, researchers, engineers, scholars, students, and industry professionals to share original research and innovative findings. Authors looking for low cost, fast publication, or rapid publication can review the journal's current policies, scope, publication process, and submission requirements.

For machine learning researchers, the journal's stated scope includes supervised and unsupervised learning, reinforcement learning, federated learning, edge machine learning, anomaly detection, forecasting, data science, artificial intelligence, cybersecurity, computer vision, NLP, robotics, and other emerging areas.

๐Ÿ“š Scope of the Journal

The journal's scope provides an academic medium for advancing and disseminating research results that support high-level learning, teaching, and research in engineering and technology. It brings together scientists, academicians, engineers, scholars, and students from related fields.

The International Journal of Innovative Research in Engineering (IJIRE) is an open-access, peer-reviewed multidisciplinary publication that provides an online platform for sharing research articles with the wider research community.

  • โšก Electrical, Electronics, and Communication Engineering
  • ๐Ÿ’ป Computer Science and Information Technology
  • โš™๏ธ Mechanical and Civil Engineering
  • ๐Ÿงช Chemical and Environmental Engineering
  • ๐Ÿงฌ Biomedical and Biotechnology Engineering
  • ๐Ÿค– Artificial Intelligence, Machine Learning, and Data Science
  • ๐ŸŒ Robotics, Automation, and Internet of Things (IoT)
  • ๐ŸŒฑ Renewable Energy Systems and Sustainable Technologies
  • ๐Ÿ”ฌ Materials Science and Nanotechnology
  • ๐Ÿ“ Applied Physics, Chemistry, and Mathematics

๐Ÿง  Machine Learning Research Topics

๐Ÿ”น Supervised & Unsupervised Learning

  • Supervised learning algorithms and applications
  • Unsupervised learning techniques
  • Classification and regression models
  • Clustering and dimensionality reduction

๐ŸŽฎ Reinforcement Learning

  • Reinforcement learning algorithms
  • Applications in gaming
  • Robotics and autonomous systems
  • Decision-making and intelligent agents

๐ŸŒ Federated & Edge Machine Learning

  • Federated machine learning architectures
  • Privacy-aware distributed learning
  • Edge machine learning systems
  • Resource-efficient model deployment

๐Ÿ“ˆ Anomaly Detection & Forecasting

  • Machine learning for anomaly detection
  • Predictive modeling and forecasting
  • Time-series analysis
  • Intelligent decision-support systems

๐Ÿค– AI and Machine Learning

  • Explainable AI (XAI)
  • Intelligent automation
  • AI-assisted decision systems
  • Machine learning model interpretation

๐Ÿ“Š Machine Learning & Data Science

  • Big data frameworks such as Hadoop and Spark
  • Data visualization and storytelling
  • Predictive analytics
  • Ethics in data collection and usage

๐Ÿ‘๏ธ Machine Learning for Computer Vision

  • Image segmentation and classification
  • Object detection
  • Face recognition and biometrics
  • Medical image analysis using CNNs

๐Ÿ—ฃ๏ธ Machine Learning for NLP

  • Sentiment analysis
  • Text summarization
  • Language translation models
  • Chatbots and virtual assistants

๐Ÿ‡ฎ๐Ÿ‡ณ Where to Publish Machine Learning Paper in India?

When deciding where to publish machine learning paper, researchers can review the journal's relevance to their topic, peer-review process, open-access model, publication timeline, Article Processing Charges, editorial workflow, and indexing information.

IJIRE includes Machine Learning and Artificial Intelligence within its stated scope. Authors interested in low cost publication can review the listed charges, while researchers seeking fast publication or rapid publication should review the stated review and decision timelines.

Researchers who require UGC CARE recognition should independently verify the journal's current UGC CARE status and their institution's requirements before submitting. Authors should also verify current Google Scholar coverage and other indexing information when required for academic purposes.

โญ Why Choose IJIRE for Machine Learning Research?

โšก Rapid Peer Review

The supplied journal information states that its peer-review process delivers decisions within 3 days, subject to the manuscript and review process.

๐ŸŒ Open Access Policy

The open-access model enables published research to be available online to the wider research community.

๐Ÿš€ Efficient Publication Process

The streamlined workflow is designed to provide responses and progress updates throughout the submission and publication stages.

๐Ÿ›ก๏ธ Plagiarism Protection

Plagiarism screening is included in the stated publication workflow to support academic integrity.

๐Ÿ“– COPE Compliance

IJIRE states that it follows publication ethics based on COPE Best Practice Guidelines.

๐ŸŒŽ Impact Beyond Academia

The journal encourages innovative research that connects academic knowledge with technological development and practical applications.

๐Ÿ“‘ Indexing & Abstracting

The following services are listed in the supplied IJIRE information. Authors should independently verify current coverage when specific indexing is required.

Google Scholar Scribd ISSUU Elsevier Mendeley EuroPub DRJI Academic Keys Edocr I2OR PDFSR ResearchBIB SSRN WorldCAT Exlibris (part of Clarivate) Thomson Reuters - Research ID Semantic Scholar Dimensions PLumX

๐Ÿ”„ Machine Learning Paper Publication Process

Experience a transparent, author-friendly journey from manuscript submission to publication.

  1. ๐Ÿ“ Submit Online: 24/7 submission through the editorial management system.
  2. ๐Ÿ“ฉ Initial Response: Acknowledgment within 12 hours, according to the supplied information.
  3. ๐Ÿ” Expert Review: Peer review within 2โ€“7 days, according to the supplied information.
  4. โœ… Decision Notification: Acceptance or rejection within 3โ€“7 days, as stated by the journal.
  5. ๐Ÿ“„ Publication & Certificate: Instant PDF access and digital certificate after publication.

๐Ÿ’ฐ Low-Cost Machine Learning Paper Publication

The supplied IJIRE information states that open-access publication requires a minimal fee after manuscript acceptance. The listed Article Processing Charges are:

Author Category DOI Option Publication Fee
Foreign Authors With DOI $80 USD
Indian Authors Without DOI โ‚น1200 + 18% GST
Indian Authors With DOI โ‚น1400 + 18% GST

๐Ÿ–ฅ๏ธ Advanced Editorial Management System

  • ๐Ÿ“Š Author Dashboard: Personalized account with submission history and status updates.
  • โฑ๏ธ Real-Time Tracking: Monitor paper progress through every editorial stage.
  • ๐Ÿ“‘ Automated Documents: Generation of acceptance letters and copyright forms.
  • โฌ‡๏ธ Easy Downloads: Access certificates and published papers.

๐Ÿš€ Ready to Publish Your Machine Learning Paper?

If you are searching for where to publish machine learning paper, review the journal scope, peer-review process, publication charges, publication ethics, indexing information, and institutional requirements before submitting your manuscript.

IJIRE provides an online submission platform for computer science, Machine Learning, Artificial Intelligence, Data Science, and related engineering research. Authors interested in low cost, fast publication, rapid publication, and open-access publishing can review the available submission options.

๐Ÿ“ Submit Your Research Paper:

Submit Paper Online

๐Ÿ“ง For Queries: [email protected]