Google Scholar Indexed Machine Learning Journals | IJSREAT

International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, and multidisciplinary journal dedicated to research in Science, Engineering, and Technology. IJSREAT provides researchers with a platform to publish innovative contributions in machine learning, artificial intelligence, computer science, data science, cybersecurity, IoT, cloud computing, and related technologies.

Researchers searching for Google Scholar indexed machine learning journals can consider IJSREAT as a publication platform for original research, review articles, and technical contributions. The journal's supplied indexing and abstracting information includes Google Scholar. Authors should independently verify the current indexing or abstracting status through the relevant official sources before making publication or academic evaluation decisions.

🤖 Google Scholar Indexed Machine Learning Journals for Research

🔵 Google Scholar Discoverability: Machine learning researchers often seek journals that support broad scholarly visibility and accessible research dissemination. IJSREAT includes Google Scholar among its supplied indexing and abstracting information and follows an open-access publishing model, helping published research remain accessible to researchers, academicians, students, and industry professionals.

🟣 Machine Learning Research: IJSREAT welcomes research covering supervised learning, unsupervised learning, reinforcement learning, federated learning, edge machine learning, anomaly detection, predictive modeling, forecasting, intelligent systems, and emerging machine learning applications.

🧠 Machine Learning and Computer Science Research Scope

🟢 Artificial Intelligence and ML: The journal welcomes studies involving artificial intelligence, explainable AI, machine learning algorithms, natural language processing, intelligent automation, autonomous systems, robotics, and AI-assisted decision-making.

🔵 Advanced Machine Learning: Researchers can submit work on supervised and unsupervised learning, reinforcement learning, federated and edge machine learning, anomaly detection, classification, regression, clustering, optimization, deep learning, and predictive analytics.

🟠 Data Science and Analytics: Machine learning research involving big data frameworks, data visualization, predictive analytics, business intelligence, healthcare analytics, data mining, and responsible data usage also aligns with the journal's multidisciplinary scope.

🟣 Computer Science: IJSREAT also covers computer science and information technology topics including software engineering, cybersecurity, computer networks, cloud computing, IoT, computer vision, NLP, blockchain, HCI, and embedded intelligent systems.

⚡ Fast Publication and Rapid Publication for ML Research

🚀 Fast Publication: IJSREAT provides a streamlined editorial workflow designed to support timely manuscript processing. The stated publication process includes online submission, initial acknowledgment, expert review, decision notification, and publication access.

⚡ Rapid Publication: The journal's stated workflow targets acknowledgment within 12 hours, expert review within 2 days, and decision notification within 3 days. These are stated workflow timelines and actual processing times may vary depending on manuscript quality, reviewer availability, revisions, and editorial requirements.

For authors looking for Google Scholar indexed machine learning journals with a streamlined submission process, IJSREAT provides an online editorial management system for submitting and tracking research manuscripts.

💰 Low Cost Machine Learning Journal Publication

🟢 Low Cost Publishing: IJSREAT follows an open-access model in which accepted articles are made freely available online. The journal provides comparatively accessible article processing charges for authors, supporting researchers who are seeking a low cost publication option for machine learning and computer science research.

• Indian Authors – Without DOI: ₹1200 + 18% GST
• Indian Authors – With DOI: ₹1400 + 18% GST
• Other than Indian Authors – With DOI: $80 USD

Authors should review the applicable publication charges and DOI options before completing the publication process. The low cost model is intended to support accessible scholarly publishing while maintaining editorial and publication processes.

🎓 UGC CARE and Machine Learning Journal Selection

🟡 UGC CARE Consideration: Researchers frequently use UGC CARE as one consideration when evaluating journals for academic publication. Authors seeking Google Scholar indexed machine learning journals should independently verify the current UGC CARE status or applicable institutional requirements through authoritative sources before submitting a manuscript.

IJSREAT covers machine learning and computer science alongside a broad range of engineering and technology disciplines, making it suitable for interdisciplinary research that connects machine learning with healthcare, cybersecurity, IoT, robotics, cloud computing, renewable energy, communication systems, and other technology domains.

🔍 Machine Learning Topics Accepted by IJSREAT

• 🤖 Supervised and unsupervised machine learning
• 🧠 Deep learning and neural network architectures
• 🎮 Reinforcement learning for robotics and intelligent systems
• 🔐 Federated learning and privacy-aware machine learning
• ⚡ Edge machine learning and intelligent IoT
• 📊 Predictive analytics and forecasting
• 🔎 Anomaly and fraud detection
• 👁️ Computer vision and image classification
• 💬 NLP and intelligent language applications
• 🏥 Machine learning for healthcare and medical diagnostics
• 🛡️ AI-based cybersecurity and threat detection
• 🚗 Machine learning for autonomous vehicles and robotics

🌐 Google Scholar Visibility and Open Access

🔵 Open Access: IJSREAT follows an open-access publishing approach, allowing published research to be accessed online by researchers and readers. For machine learning authors, accessible publication can support wider dissemination of research findings across academic and professional communities.

🟣 Google Scholar: Google Scholar is included in the journal's supplied indexing and abstracting information. Authors should understand that inclusion in a journal's indexing information does not by itself guarantee that every individual article will appear immediately or achieve a particular level of visibility in Google Scholar.

🛡️ Peer Review, Plagiarism Protection and Publication Ethics

🔵 Peer Review: IJSREAT follows a peer-reviewed publication process intended to evaluate submitted research for relevance, originality, technical quality, and scholarly contribution.

🟢 Plagiarism Protection: Manuscripts are subject to plagiarism screening and editorial checks as part of the journal's publication workflow. Authors are expected to submit original work and follow responsible research and publication practices.

🟣 COPE Compliance: IJSREAT states its commitment to publication ethics and COPE best-practice principles. Authors should follow appropriate standards relating to originality, authorship, conflicts of interest, citations, research integrity, and ethical conduct.

📋 Streamlined Publication Process for Machine Learning Papers

1. 📝 Submit Online: Submit your machine learning manuscript through the online editorial management system.
2. 📩 Initial Response: Receive an acknowledgment according to the journal's stated workflow.
3. 🔬 Expert Review: The manuscript proceeds through editorial and peer-review evaluation.
4. 📢 Decision Notification: Receive the editorial decision after evaluation.
5. 📄 Publication: Accepted research proceeds toward online publication and digital document access.

This streamlined workflow is designed for researchers seeking fast publication and rapid publication of machine learning, artificial intelligence, computer science, and broader technology research.

💻 Advanced Editorial Management System

🖥️ Author Dashboard: Authors can manage submissions and access relevant manuscript information through a dedicated dashboard.

📊 Real-Time Tracking: The editorial management system provides status information during different stages of manuscript processing.

📑 Automated Documents: The system supports the generation and management of relevant editorial documents, including acceptance and copyright forms.

📥 Easy Downloads: Authors can access published papers and available certificates through the online system.

🌍 Multidisciplinary Research Beyond Computer Science

Although machine learning and computer science are important areas of the journal, IJSREAT also welcomes research in electrical, electronics and communication engineering, mechanical and civil engineering, chemical and environmental engineering, biomedical and biotechnology engineering, robotics, automation, renewable energy, sustainable technologies, materials science, nanotechnology, physics, chemistry, and mathematics.

This multidisciplinary scope allows machine learning researchers to present interdisciplinary studies combining intelligent algorithms with engineering applications, healthcare systems, smart cities, energy systems, industrial automation, cybersecurity, communication networks, and emerging technologies.

🚀 Submit Your Machine Learning Research to IJSREAT

If you are searching for Google Scholar indexed machine learning journals for publishing original research, review articles, or technical studies, IJSREAT provides an open-access, peer-reviewed platform covering machine learning, artificial intelligence, computer science, data science, and multidisciplinary engineering and technology research.

Authors can use the online submission system to submit manuscripts and track their publication progress. Before submission, researchers should review the journal scope, author guidelines, publication charges, indexing information, and applicable institutional requirements.

📧 For queries: editorinchief@ijsreat.com