Machine Learning Journal Google Scholar Indexed | INDJCST
🔎 Machine Learning Journal Google Scholar Indexed – INDJCST
The Indian Journal of Computer Science and Technology (INDJCST), e-ISSN 2583-5300, is a peer-reviewed, open-access journal supporting original research in machine learning, artificial intelligence, data science, and computer science. Researchers looking for a machine learning journal with Google Scholar discoverability can consider INDJCST for scholarly manuscript submission and publication.
INDJCST provides an organized editorial workflow covering manuscript submission, editorial screening, originality checks, peer review, revision where applicable, editorial decision, and publication processing. Authors interested in fast publication of machine learning research should note that actual review and publication timelines can vary according to manuscript complexity, reviewer availability, revisions, and editorial requirements.
🤖 Machine Learning Research Focus & Topics
INDJCST welcomes original research, experimental studies, applied research, and interdisciplinary work in a broad range of machine learning research topics, including:
- 🧠 Supervised, Unsupervised & Reinforcement Learning
- 📊 Deep Learning Architectures
- 📈 Predictive Modeling & Data Analytics
- 🖼️ Computer Vision & Image Processing
- 🗣️ Natural Language Processing (NLP)
- 💡 Explainable AI & Ethical Machine Learning
- 📱 Mobile & Edge Machine Learning
- 📡 Autonomous Systems & Robotics
- 🔐 Machine Learning in Security & Cyber Defense
- ☁️ Machine Learning for Cloud & IoT Applications
Interdisciplinary studies that apply machine learning algorithms, artificial intelligence models, predictive analytics, and intelligent computing to engineering and emerging technologies are encouraged when they fit the journal's scope.
🔎 Google Scholar Discoverability
Google Scholar is a widely used scholarly search service for discovering academic literature. Researchers searching for a Google Scholar indexed machine learning journal should verify the journal's current coverage and the visibility of specific articles directly through Google Scholar and other relevant scholarly services.
Journal discoverability can help researchers locate published machine learning articles, artificial intelligence research papers, deep learning studies, data science research, and computer science publications. Indexing and coverage can change over time and may depend on the policies and technical requirements of individual services.
📚 Scholarly Discoverability: Google Scholar | Elsevier Mendeley | EuroPub | DRJI | Semantic Scholar | Dimensions | PlumX
🚀 Fast Machine Learning Journal Publication Workflow
Authors searching for fast publication journals for machine learning research can use the online editorial system to submit manuscripts and follow the applicable stages of editorial processing.
- 📝 Online Submission: Submit the machine learning research paper through the editorial portal.
- 📋 Editorial Screening: The manuscript is reviewed for scope, format, and basic submission requirements.
- 🔍 Originality Check: Applicable similarity and research-integrity screening is performed.
- 👨⚖️ Peer Review: The manuscript undergoes the applicable scholarly evaluation process.
- ✏️ Revision: Authors may be requested to address reviewer or editorial comments.
- ✅ Editorial Decision: A decision is communicated after the required evaluation.
- 📄 Publication Processing: Accepted manuscripts proceed through final publication procedures.
⏱️ Timeline Information: Fast or efficient publication workflows do not represent a guaranteed review period, acceptance decision, or publication date. Processing time may vary based on reviewer availability, manuscript complexity, revision requirements, and editorial assessment.
📖 Open Access Machine Learning Research
INDJCST follows an open-access publishing model, allowing published research to be made available online to readers. Open access can support convenient access to machine learning research papers, artificial intelligence studies, deep learning articles, and data science publications.
Authors should review the journal's current publication policies and ensure that the open-access model, licensing conditions, and publication requirements meet their institutional or research-program requirements.
💰 Low Cost Machine Learning Article Processing Charges
The following article processing charges apply to accepted manuscripts according to the selected publication option:
🇮🇳 Indian Authors
- 💳 Without DOI: ₹1,200 + 18% GST
- 🔗 With DOI: ₹1,400 + 18% GST
🌍 International Authors
- 🔗 With DOI: $80 USD
Authors should confirm the current APC, DOI option, payment terms, and publication policies before completing publication arrangements.
🔗 DOI Options for Machine Learning Research
A Digital Object Identifier (DOI) provides a persistent identifier for a scholarly article and can support stable identification and citation of research in digital environments. INDJCST provides DOI-supported publication options according to the applicable publication choice.
A DOI does not itself guarantee citation counts, indexing, search ranking, or academic recognition. Researchers should independently verify any database coverage required for their academic or institutional purposes.
📢 Publish Your Machine Learning Research with INDJCST
Researchers looking for a machine learning journal Google Scholar indexed can review INDJCST's scope, submission requirements, editorial workflow, indexing information, DOI options, open-access policy, and APC structure before submitting their research.
🎓 For PhD Scholars & Researchers: Ensure that your manuscript is original, properly formatted, within the journal scope, and compliant with applicable research ethics and institutional requirements.
