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 looking for an AI ML open access journal can consider its stated scope in Artificial Intelligence, Machine Learning, Data Science and Computer Science.

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

AI ML Open Access Journal – IJSREAT

An AI ML open access journal provides a publication route where research can be made available online under an open-access model. The supplied IJSREAT information describes the journal as open access and states that published research is freely available online.

🌐 Open Access AI and Machine Learning Research

IJSREAT describes itself as an international, peer-reviewed, open-access journal. Its stated objective is to promote original research contributions, technological innovations and fundamental advancements while connecting academic research with practical applications in Science, Engineering and Technology.

For AI and Machine Learning researchers, the journal's stated scope includes Artificial Intelligence, Machine Learning and Data Science, alongside Computer Science and Information Technology and several related technology disciplines.

🤖 Artificial Intelligence Research Scope

The Artificial Intelligence section of the supplied scope includes the following research areas:

• Explainable AI (XAI): Techniques for explainable Artificial Intelligence.
• Natural Language Processing: NLP models, including examples such as ChatGPT and DeepSeek.
• Autonomous Systems: AI applications in autonomous vehicles and robotics.
• Healthcare: AI applications in medicine and diagnostics.

🧠 Machine Learning Research Areas

Researchers preparing Machine Learning manuscripts can consider the ML areas specifically listed in the journal scope.

• Supervised and 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

The journal's AI and ML scope is complemented by Data Science and Analytics research areas, including:

• 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 Open Access Journal for Computer Science

Computer Science and Information Technology is included in IJSREAT's stated journal scope. AI and ML manuscripts can therefore connect with several computer science and emerging technology areas listed by the journal.

• Cybersecurity: AI malware detection, blockchain for cybersecurity, 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, software quality assurance and testing.
• Blockchain: Smart contracts, decentralized applications, financial services and scalability.
• Computer Networks: 5G/6G, SDN, network security and Internet optimization.
• Image Processing and Computer Vision: 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 and embedded AI.
• Natural Language Processing: Sentiment analysis, summarization, translation and chatbots.
• Quantum Computing: Quantum algorithms, cryptography and hybrid quantum-classical architectures.

🔓 Benefits of Open Access Publication

The supplied journal information states that immediate open access allows published work to reach policymakers, industry leaders and global researchers. This open-access model is a central feature of the journal's publication description.

• Research is described as freely available online.
• Immediate open access is identified as part of the journal policy.
• The journal aims to connect academic research with industry and practical applications.
• Researchers can publish original research papers, review articles and technical notes within the stated scope.

⚡ Fast Publication and Rapid Publication

IJSREAT's supplied information describes a streamlined publication process and states that its strict peer-review process delivers decisions within 3 days. The detailed workflow separately states an initial acknowledgment within 12 hours, expert review within 2 days and decision notification within 3 days.

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.

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

💰 Low Cost AI ML Open Access Journal

IJSREAT states that its open-access publication is freely available online and that a minimal fee is required from authors after manuscript acceptance. The supplied Article Processing Charges for Case Reports, Original Articles and Review Articles are listed below.

Authors should confirm current APCs, taxes, DOI conditions and payment requirements with the journal before submission.

🔎 Google Scholar and Indexing Information

The supplied IJSREAT information lists Google Scholar under Indexing & Abstracting. It also lists 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 a particular listing for institutional, academic, promotion, funding or other formal requirements.

🎓 UGC CARE and Journal Verification

Researchers evaluating an AI ML open access journal may also consider search criteria such as UGC CARE, Google Scholar, low cost, fast publication, rapid publication and computer science scope.

A Google Scholar or other indexing listing does not by itself establish UGC CARE recognition. Authors should verify current UGC CARE or institutional requirements directly with the relevant authority before submitting research for a particular academic purpose.

🛡️ Peer Review and Publication Ethics

IJSREAT identifies its publication process as peer reviewed and states that rigorous screening is used to maintain academic integrity. The supplied information also states adherence to COPE's Best Practice Guidelines.

• Rapid Peer Review: Decisions within 3 days are stated.
• Plagiarism Protection: Rigorous screening is stated.
• COPE Compliance: The source states adherence to COPE's Best Practice Guidelines.
• Open Access: Immediate access to published work is stated.
• Efficient Process: A streamlined workflow is described.

📋 Advanced Editorial Management System

The supplied journal information describes an editorial management system designed to provide authors with access to submission information and publication documents.

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

🌍 Multidisciplinary AI ML Research

Beyond AI, ML and Data Science, IJSREAT lists 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 broad scope allows researchers to develop interdisciplinary studies connecting AI and Machine Learning with healthcare, cybersecurity, cloud computing, IoT, robotics, computer vision, networking and other areas of computer science.

📝 Preparing an AI ML Open Access Manuscript

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

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

✅ What Authors Should Check Before Submission

• Confirm that the manuscript fits the AI, ML, Data Science or Computer Science scope.
• Review the current open-access publication fee.
• Confirm the applicable GST or other charges.
• Check the current DOI option and associated fee.
• Verify current indexing and abstracting status where required.
• Check UGC CARE or institutional requirements independently.
• Review the journal's current manuscript and submission requirements.

🚀 Submit AI and ML Research to IJSREAT

Researchers looking for an AI ML open access journal can review the journal's stated scope, peer-review process, open-access model, APC information and indexing details before submitting their manuscript.

For queries: editorinchief@ijsreat.com

Submission Portal: Submit Manuscript to IJSREAT

IJSREAT's supplied information presents an open-access, peer-reviewed publication route covering Artificial Intelligence, Machine Learning, Data Science and Computer Science, with stated fast publication timelines, listed APCs and Google Scholar indexing information.