The 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 research across Science, Engineering and Technology. Researchers seeking an AI ML peer reviewed journal can explore its stated scope covering Artificial Intelligence, Machine Learning, Data Science and Computer Science.

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

AI ML Peer Reviewed Journal – IJSREAT

An AI ML peer reviewed journal provides a scholarly publication route for research involving Artificial Intelligence, Machine Learning and related technologies. IJSREAT identifies Artificial Intelligence, Machine Learning and Data Science as areas within its journal scope and also includes Computer Science and Information Technology.

🔬 Peer Reviewed AI and Machine Learning Research

The supplied IJSREAT information describes the journal as peer-reviewed and states that it welcomes high-quality original research papers, review articles and technical notes. Its interdisciplinary structure allows AI and ML research to connect with multiple fields of Science, Engineering and Technology.

Researchers preparing manuscripts can consider Artificial Intelligence, Machine Learning, Data Science, cybersecurity, cloud computing, IoT, computer vision, robotics, NLP and other areas identified in the journal's stated scope.

🤖 Artificial Intelligence Research Topics

IJSREAT's Artificial Intelligence scope covers several contemporary research directions.

• Explainable AI (XAI): Explainable Artificial Intelligence techniques.
• Natural Language Processing: NLP models, including examples such as ChatGPT and DeepSeek.
• Autonomous Vehicles and Robotics: AI applications for autonomous systems.
• Medicine and Diagnostics: AI applications in medical research and diagnostics.

🧠 Machine Learning Research Areas

The Machine Learning scope provides several directions for researchers studying computational learning methods, intelligent prediction and data-driven systems.

• Supervised vs Unsupervised Learning
• Reinforcement Learning in gaming and robotics
• Federated and Edge Machine Learning
• Machine Learning for Anomaly Detection
• Machine Learning for Forecasting

📊 Data Science and Analytics for AI ML

Artificial Intelligence and Machine Learning research can be combined with Data Science and Analytics. IJSREAT includes Big Data frameworks, visualization, predictive analytics and data ethics in its stated scope.

• Big Data Frameworks: Hadoop and Spark.
• Data Visualization: Visualization and storytelling.
• Predictive Analytics: Applications in business and healthcare.
• Data Ethics: Ethics in data collection and usage.

💻 AI ML and Computer Science Scope

IJSREAT lists Computer Science and Information Technology among its principal areas. This creates opportunities for interdisciplinary AI and ML research involving several computer science technologies.

• Cybersecurity: Malware detection using AI, blockchain security, NIDS and cryptography.
• Cloud Computing: Serverless architecture, cloud migration, hybrid cloud and virtualization.
• Internet of Things: Smart cities, IoT security, sensor networks and Edge/Fog computing.
• Software Engineering: Agile, DevOps, quality assurance and testing.
• Blockchain Technology: Smart contracts, decentralized applications, financial services and scalability.
• Computer Networks: 5G/6G, SDN, network security and Internet performance.
• Image Processing and Computer Vision: Image segmentation, classification, object detection and medical image analysis.
• Human-Computer Interaction: Usability, gesture and speech interfaces, eye tracking, AR/VR and accessibility.
• Robotics and Embedded Systems: Autonomous navigation, RTOS, robot kinematics, control and embedded AI.
• Natural Language Processing: Sentiment analysis, text summarization, translation and virtual assistants.
• Quantum Computing: Shor's and Grover's algorithms, quantum cryptography and hybrid quantum-classical architectures.

📚 AI ML Peer Reviewed Journal Publication

IJSREAT welcomes original research papers, review articles and technical notes contributing to Science, Engineering and Technology. An AI ML peer reviewed journal manuscript can address AI models, machine learning algorithms, data science applications, NLP, computer vision, robotics, cybersecurity or other related topics included in the stated scope.

Authors should ensure that their manuscripts are relevant to the journal's scope and clearly communicate the research problem, methodology, results and contribution.

⚡ Fast Publication and Rapid Peer Review

The supplied journal information states that the strict peer-review process delivers decisions within 3 days. Its detailed publication workflow states an initial acknowledgment within 12 hours, expert review within 2 days and decision notification within 3 days.

These are the timelines stated in the supplied source. Actual processing can depend on editorial assessment, reviewer availability and manuscript requirements.

🚀 IJSREAT Peer Review and Publication Process

1. Submit Online: 24/7 submission through the editorial management system.
2. Initial Response: Acknowledgment within 12 hours is stated.
3. Expert Review: Complete peer review within 2 days is stated.
4. Decision Notification: Acceptance or rejection within 3 days is stated.
5. Publication & Certificate: Instant PDF access and digital certificate are stated.

💰 Low Cost AI ML Journal Publication

IJSREAT describes its publication model as open access and states that a minimal fee is payable after manuscript acceptance. The supplied Article Processing Charges for Case Reports, Original Articles and Review Articles are listed below.

Researchers seeking a low cost AI ML publication option should confirm current APCs, DOI conditions, taxes and payment requirements before submission.

🌐 Google Scholar and Indexing Information

The supplied IJSREAT information lists Google Scholar under Indexing & Abstracting. Other listed services include Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions and PlumX.

Authors should independently verify the current status of indexing and abstracting services before relying on any listing for institutional, academic, promotion, funding or other formal requirements.

🎓 UGC CARE and AI ML Journal Verification

Researchers evaluating an AI ML peer reviewed journal may also search for UGC CARE, Google Scholar, fast publication, rapid publication, low cost and computer science publication options.

These criteria should be evaluated separately. A Google Scholar or other indexing listing does not by itself establish UGC CARE recognition. Authors should verify current recognition requirements with the relevant academic authority and their institution before submitting research for a particular academic purpose.

📋 Advanced Editorial Management System

The supplied information describes an advanced editorial management system that supports authors throughout manuscript submission and publication.

• Author Dashboard: Personalized account with submission history and status updates.
• Real-Time Tracking: Monitor the 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.

🌍 Interdisciplinary AI and ML Research

The journal's wider scope includes Electrical, Electronics and Communication Engineering, Mechanical and Civil Engineering, Chemical and Environmental Engineering, Biomedical and Biotechnology Engineering, Robotics and IoT, Renewable Energy Systems, Materials Science and Nanotechnology, and Applied Physics, Chemistry and Mathematics.

This multidisciplinary structure supports research connecting Artificial Intelligence and Machine Learning with healthcare, cybersecurity, cloud computing, IoT, robotics, computer vision, networking and other areas of computer science.

📝 Preparing an AI ML Peer Reviewed Manuscript

Before submitting to an AI ML peer reviewed journal, authors can ensure that the manuscript clearly presents the research problem, objectives, methodology, datasets or experimental setup, model or algorithm, results, discussion and conclusions.

Relevant topics from the supplied scope include Explainable AI, NLP models, autonomous vehicles and robotics, AI applications in medicine and diagnostics, supervised and unsupervised learning, reinforcement learning, Federated and Edge Machine Learning, anomaly detection and forecasting.

⭐ Why Consider IJSREAT for AI ML Research?

• International and Multidisciplinary: Coverage across Science, Engineering and Technology.
• Peer Review: The supplied information describes a strict peer-review process.
• Open Access: Immediate open access is stated as part of the journal model.
• Fast Publication: The supplied workflow provides stated response and decision timelines.
• Plagiarism Protection: Rigorous screening is stated as part of the publication process.
• COPE Compliance: The source states adherence to COPE Best Practice Guidelines.
• Google Scholar: Listed by the supplied source under indexing and abstracting.
• Editorial Tracking: Authors can monitor manuscript progress through the editorial system.

🚀 Submit Your AI ML Research

Researchers whose manuscripts fit the Artificial Intelligence, Machine Learning, Data Science or Computer Science scope can review the peer-review process, APC information, indexing details and their institutional requirements before submission.

For queries: editorinchief@ijsreat.com

Submission Portal: Submit Manuscript to IJSREAT

For researchers seeking an AI ML peer reviewed journal, the supplied IJSREAT information combines Artificial Intelligence, Machine Learning, Data Science and Computer Science within its stated scope, together with peer review, open access, rapid publication timelines and Google Scholar listing information.