🧠 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, multidisciplinary online journal dedicated to advancing research across Science, Engineering, and Technology.

IJSREAT was established by academicians, educationists, engineers, and industry professionals to provide a scholarly platform for publishing innovative ideas, original research contributions, technological innovations, and fundamental advancements across diverse scientific and engineering disciplines.

As a scholarly open-access peer-reviewed journal, IJSREAT aims to connect the academic community and industry by encouraging the dissemination of quality research and practical applications. Researchers exploring Google Scholar indexed machine learning journals can consider research areas including supervised learning, unsupervised learning, reinforcement learning, federated learning, edge machine learning, anomaly detection, forecasting, artificial intelligence, and data science.

📚 Scope of Machine Learning Research Journals

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) welcomes high-quality original research papers, review articles, and technical notes contributing to the advancement of knowledge in Science, Engineering, and Technology.

⚡ Electrical, Electronics, and Communication Engineering
💻 Computer Science and Information Technology
⚙️ Mechanical and Civil Engineering
🧪 Chemical and Environmental Engineering
🧬 Biomedical and Biotechnology Engineering
🤖 Artificial Intelligence, Machine Learning, and Data Science
🦾 Robotics, Automation, and Internet of Things (IoT)
🌱 Renewable Energy Systems and Sustainable Technologies
🔬 Materials Science and Nanotechnology
📐 Applied Physics, Chemistry, and Mathematics

🧠 Machine Learning & Computer Science Research Areas

Authors searching for Google Scholar indexed machine learning journals can explore a wide range of artificial intelligence, machine learning, data science, and computer science topics through the journal's multidisciplinary scope.

🧠 Machine Learning (ML)

Supervised and unsupervised learning
Reinforcement learning in gaming and robotics
Federated and edge machine learning
Machine learning for anomaly detection and forecasting

🤖 Artificial Intelligence (AI)

Explainable AI (XAI) techniques
Natural Language Processing (NLP) models and generative AI
AI applications in autonomous vehicles and robotics
AI applications in medicine and diagnostics

📊 Data Science & Analytics

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

🔐 Machine Learning for Cybersecurity

Malware detection using AI and machine learning
Intelligent threat detection systems
Network intrusion detection systems (NIDS)
Cryptography and secure communication

☁️ Cloud Computing & Machine Learning

Serverless architecture and functions
Cloud migration and hybrid cloud
Virtualization techniques, VMs, and containers
Cost and energy optimization in cloud systems

🌐 IoT & Edge Machine Learning

Smart cities and connected devices
IoT security and encryption protocols
Sensor networks for agriculture and environment
Edge and Fog computing in IoT

🛠️ Software Engineering

Agile and DevOps practices
Software quality assurance and testing
Requirements engineering and prototyping
Model-Driven Development (MDD)

⛓️ Blockchain Technology

Smart contracts and decentralized applications (dApps)
Blockchain applications in financial services and voting
Energy-efficient consensus mechanisms
Blockchain scalability and security

🌐 Computer Networks

5G and 6G wireless technologies
Software Defined Networking (SDN)
Network security protocols
Internet performance optimization

🖼️ Image Processing & Computer Vision

Image segmentation and classification
Object detection in video surveillance
Face recognition and biometrics
Medical image analysis using CNNs

🖥️ Human-Computer Interaction (HCI)

Usability in web and mobile applications
Gesture and speech-based interfaces
Eye-tracking and AR/VR interfaces
Accessibility in UI/UX design

🦾 Robotics & Embedded Systems

Autonomous navigation systems
Real-time operating systems (RTOS)
Robot kinematics and control
Embedded AI for intelligent systems

💬 Natural Language Processing (NLP)

Sentiment analysis and text summarization
Language translation models
Chatbots and virtual assistants
NLP for low-resource languages

⚛️ Quantum Computing

Quantum algorithms such as Shor's and Grover's algorithms
Quantum cryptography
Challenges in building quantum systems
Hybrid quantum-classical architectures

⭐ Why Choose IJSREAT for Machine Learning Research?

⚡ Rapid Peer Review: According to the supplied IJSREAT information, the journal follows a peer-review process intended to provide decisions within approximately 3 days while maintaining quality standards.

🌍 Open Access Policy: Open-access publishing is intended to make machine learning research freely accessible to researchers, industry professionals, policymakers, and other readers.

🚀 Fast Publication: IJSREAT describes a streamlined workflow from manuscript submission through review, decision, and publication for authors seeking fast publication and rapid publication.

🛡️ Plagiarism Protection: The supplied information states that manuscripts undergo plagiarism screening to support academic integrity.

📖 COPE-Based Publication Ethics: IJSREAT states that it follows publication ethics based on COPE's Best Practice Guidelines.

🌎 Impact Beyond Academia: The journal encourages machine learning and computer science research that contributes to technological development, practical applications, interdisciplinary collaboration, and wider knowledge dissemination.

🔎 Google Scholar Indexing & Abstracting

The supplied IJSREAT information lists the following indexing and abstracting platforms associated with the journal:

🔍 Google Scholar
📚 Scribd
📰 ISSUU
📖 Elsevier Mendeley
🌐 EuroPub
🎓 DRJI
🔎 Academic Keys
📄 Edocr
📚 I2OR
📑 PDFSR
🎓 ResearchBIB
🔬 SSRN
🌍 WorldCat
📘 Ex Libris
🆔 Thomson Reuters - Research ID
🧠 Semantic Scholar
📊 Dimensions
📈 PlumX

Important: Indexing and abstracting coverage can change over time. Authors should verify current status directly with the relevant official database or service before relying on a specific indexing claim. Google Scholar discoverability can also depend on the availability and indexing of individual scholarly articles.

🚀 Fast Publication & Rapid Publication Process

IJSREAT provides an online editorial workflow for authors submitting machine learning, artificial intelligence, and computer science research. According to the supplied information, the publication process includes:

📝 Submit Online: 24/7 manuscript submission through the editorial management system.
📩 Initial Response: The supplied information states that an acknowledgment is provided within 12 hours.
👨🔬 Expert Review: The stated workflow targets completion of peer review within 2 days.
📨 Decision Notification: The supplied information states that an acceptance or rejection decision is communicated within 3 days.
📄 Publication & Certificate: The supplied information describes instant PDF access and a digital certificate after publication.

💰 Low Cost Machine Learning Journal Publication

IJSREAT describes its online edition as open access and states that a publication fee is charged after manuscript acceptance. The supplied article processing charges for case reports, original articles, and review articles are:

🇮🇳 Indian Authors

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

🌍 Authors Other Than Indian Authors

With DOI: $80 USD

These stated charges may help authors compare low cost open-access publication options for machine learning and computer science research. Authors should confirm the latest applicable fees and DOI arrangements with the journal before submission.

🖥️ Advanced Editorial Management System

👤 Author Dashboard: Personalized account access with submission history and manuscript status updates.

📊 Real-Time Tracking: Authors can monitor their machine learning manuscript's progress through the available editorial stages.

📄 Automated Documents: The supplied information describes automated generation of acceptance letters and copyright forms.

⬇️ Easy Downloads: Authors can access certificates and published papers through the editorial system.

🎓 Google Scholar & UGC CARE Considerations

When evaluating Google Scholar indexed machine learning journals, researchers can review journal scope, peer-review procedures, publication workflows, accessibility, article processing charges, and current indexing information before submitting a machine learning manuscript.

If UGC CARE recognition or inclusion is required for an academic purpose, authors should verify the journal's current status through relevant official UGC or institutional sources before submission. UGC CARE status and indexing information should not be assumed solely from third-party listings.

Machine learning research topics may include supervised learning, unsupervised learning, reinforcement learning, federated learning, edge intelligence, anomaly detection, predictive analytics, deep learning, natural language processing, computer vision, healthcare AI, robotics, cybersecurity, and intelligent IoT systems.

📬 Submit Your Machine Learning Research Paper

Researchers, scholars, academicians, and industry professionals can submit original machine learning research, review articles, and technical papers relevant to the journal scope. Authors interested in fast publication, rapid publication, open access, and low cost publishing can review the current submission requirements before submitting.

📧 For Queries: editorinchief@ijsreat.com

🚀 Ready to Publish Your Research?

Submit your machine learning manuscript through the IJSREAT editorial management system:

📤 Submit Your ML Paper

Google Scholar Indexed Machine Learning Journals | IJSREAT