Peer Reviewed Machine Learning Journal | IJSREAT ML Research

International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, and multidisciplinary online journal dedicated to advancing research across Science, Engineering, Technology, Artificial Intelligence, Machine Learning, Computer Science, and emerging technological disciplines. Researchers searching for a peer reviewed machine learning journal can submit original research papers, review articles, and technical notes covering machine learning algorithms, intelligent systems, predictive analytics, deep learning, and related technologies.

IJSREAT was established by academicians, educationists, engineers, and industry professionals with the objective of providing a reputable platform for publishing innovative ideas and research findings. The journal promotes original research contributions, technological innovations, practical applications, and fundamental advancements across diverse engineering and scientific disciplines.

As a scholarly and open-access peer-reviewed journal, IJSREAT serves as a bridge between academic research and industry, encouraging the dissemination of quality research and practical applications. Authors looking for a peer reviewed machine learning journal with low cost publication, fast publication, rapid publication, and Google Scholar visibility can submit suitable Machine Learning, Artificial Intelligence, and Computer Science research through the online editorial management system.

🧠 Peer Reviewed Machine Learning Journal for ML Research

IJSREAT provides an international scholarly platform for Machine Learning research covering supervised learning, unsupervised learning, reinforcement learning, federated learning, edge machine learning, anomaly detection, forecasting, predictive analytics, deep learning, intelligent automation, and interdisciplinary AI applications.

A peer reviewed machine learning journal supports structured scholarly evaluation of research before publication. IJSREAT welcomes contributions from research scholars, academicians, data scientists, ML engineers, software professionals, developers, students, and interdisciplinary technology researchers.

🤖 Machine Learning & Computer Science Research Scope

The scope of IJSREAT covers Machine Learning and a broad range of related Artificial Intelligence, Computer Science, engineering, and technology disciplines. The following research areas are representative and are not limited to these topics.

🧠 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 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 ML
• Blockchain for cybersecurity
• Network Intrusion Detection Systems (NIDS)
• Cryptography and secure communication

☁️ Cloud Computing

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

🌐 Internet of Things (IoT)

• 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
• Blockchain 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

🌐 Interdisciplinary Machine Learning Research

IJSREAT encourages interdisciplinary Machine Learning research that connects intelligent computational methods with engineering, healthcare, automation, sustainability, communication, mathematics, and industrial applications.

• ⚡ 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

The journal aims to promote innovative research, technological development, and academic excellence by providing researchers, scholars, academicians, data scientists, ML engineers, and industry professionals with a platform to share their findings. Interdisciplinary submissions that bridge theory and practice are encouraged.

⭐ Why Choose IJSREAT for Machine Learning Research?

⚡ Rapid Peer Review

The stated peer-review process targets editorial decisions within 3 days while maintaining the journal's review and quality standards.

🌍 Open Access Policy

Open-access publication makes Machine Learning, Artificial Intelligence, and Computer Science research freely available online, supporting access by researchers, policymakers, industry professionals, and academic communities.

🚀 Fast Publication & Rapid Publication

Researchers looking for fast publication and rapid publication can use the streamlined workflow from online submission and acknowledgment through expert review, editorial decision, and publication processing.

🔐 Plagiarism Protection

Rigorous screening supports academic integrity, while automated editorial systems help manage administrative tasks throughout the manuscript lifecycle.

📚 COPE Compliance

IJSREAT follows publication ethics practices aligned with COPE Best Practice Guidelines, supporting responsible scholarly communication and editorial processes.

🌎 Impact Beyond Academia

The journal prioritizes research that can contribute to Machine Learning innovation, technological development, professional practice, academic knowledge, policy discussions, and broader societal applications.

🔎 Google Scholar, Indexing & UGC CARE Considerations

IJSREAT lists multiple scholarly and research platforms for indexing and abstracting visibility. Authors interested in Google Scholar discoverability can explore published Machine Learning, Artificial Intelligence, Computer Science, software engineering, and technology research.

• 🔵 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

📌 UGC CARE: Authors who specifically require a UGC CARE-listed journal should independently verify the current official UGC CARE status and applicable recognition requirements before submission, because indexing and recognition programs may change.

📝 Streamlined Machine Learning Publication Process

IJSREAT provides a transparent, author-friendly journey for researchers submitting Machine Learning manuscripts to a peer reviewed machine learning journal.

1. 📤 Submit Online: 24/7 submission through the editorial management system.
2. 📩 Initial Response: Receive acknowledgment within 12 hours.
3. 👨🔬 Expert Review: Complete peer review within 2 days.
4. ✅ Decision Notification: Acceptance or rejection within 3 days.
5. 📄 Publication & Certificate: Instant PDF access and digital certificate after publication processing.

💰 Low Cost Machine Learning Journal Publication

IJSREAT follows an open-access publication model in which published articles are freely available online. A minimal article processing charge is applicable after manuscript acceptance to support editorial processing, online publication, DOI services where selected, and continued journal operations.

Open access means published articles are freely available to readers. It does not necessarily mean publication is free of processing charges. Authors should review the applicable article processing charge before completing publication.

🖥️ Advanced Editorial Management System

The IJSREAT editorial management system provides Machine Learning researchers with convenient tools to submit manuscripts, monitor editorial progress, receive publication documents, and access certificates and published papers.

• 👤 Author Dashboard: Personalized account with submission history and status updates.
• 📊 Real-Time Tracking: Monitor your paper's progress through every stage.
• 📑 Automated Documents: Instant generation of acceptance letters and copyright forms.
• ⬇️ Easy Downloads: One-click access to certificates and published papers.

🎓 Publish Your Machine Learning Research

If you are searching for a peer reviewed machine learning journal, IJSREAT provides an international and multidisciplinary platform for Machine Learning, Artificial Intelligence, Data Science, Computer Science, Information Technology, Cybersecurity, Cloud Computing, IoT, Computer Vision, NLP, Robotics, and emerging technology research.

Researchers seeking low cost Machine Learning publication, fast publication, rapid publication, peer review, open access, and Google Scholar visibility can submit suitable manuscripts through the IJSREAT editorial management system.

Ready to publish your research? Submit your Machine Learning manuscript online through the IJSREAT editorial management system.

📧 For queries: editorinchief@ijsreat.com