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 covering research across Science, Engineering and Technology. Researchers searching for an AI ML journal with DOI can explore the journal's 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. The journal also aims to connect academic research with practical applications in emerging areas of Science, Engineering and Technology.

AI ML Journal with DOI – IJSREAT

An AI ML journal with DOI provides a publication route for researchers working on Artificial Intelligence, Machine Learning and related technologies. IJSREAT specifically lists Artificial Intelligence, Machine Learning and Data Science within its scope and also includes Computer Science and Information Technology among its major research areas.

🤖 Artificial Intelligence Research Scope

IJSREAT's Artificial Intelligence scope includes multiple emerging research directions for scholars, academicians and industry professionals.

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

🧠 Machine Learning Research Areas

The Machine Learning scope covers learning approaches and practical applications involving intelligent prediction, automation and data-driven systems.

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

📊 AI, ML and Data Science Research

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

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

💻 AI ML and Computer Science

Because IJSREAT also covers Computer Science and Information Technology, AI and Machine Learning manuscripts can connect with several related computer science research areas.

• 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 Technology: Smart contracts, decentralized applications, financial services, voting and scalability.
• Computer Networks: 5G/6G, SDN, network security and Internet optimization.
• 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, language translation and virtual assistants.
• Quantum Computing: Quantum algorithms, quantum cryptography and hybrid quantum-classical architectures.

🔬 AI ML Journal with DOI Publication

IJSREAT welcomes high-quality original research papers, review articles and technical notes that contribute to the advancement of Science, Engineering and Technology. Researchers preparing an AI ML journal with DOI manuscript can consider topics such as Explainable AI, NLP, autonomous systems, medical AI, supervised learning, reinforcement learning, Federated Learning, Edge Machine Learning, anomaly detection and forecasting.

Manuscripts should be relevant to the journal's stated scope and should clearly present the research problem, methodology, findings and contribution.

⚡ Fast Publication and Rapid Peer Review

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

These timelines are statements provided in the supplied journal information. Actual processing can depend on editorial assessment, reviewer availability and manuscript requirements.

🚀 IJSREAT 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.

💰 AI ML Journal with DOI and Low Cost APC

IJSREAT describes its publication model as open access and states that a minimal publication fee is payable after manuscript acceptance. For authors specifically looking for an AI ML journal with DOI, the supplied APC information lists the following DOI-related fee options.

The supplied information therefore lists a with DOI option for Indian and non-Indian authors. Authors should confirm current fees, DOI conditions, taxes and payment requirements before submission.

🌐 Google Scholar and Indexing Information

The supplied journal information lists Google Scholar among its indexing and abstracting services. 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 listing for institutional, academic, promotion, funding or other formal requirements.

🎓 UGC CARE and AI ML Journal Verification

Researchers searching for an AI ML journal with DOI may also use related search terms such as UGC CARE, Google Scholar, low cost, fast publication, rapid publication and computer science.

These are separate evaluation criteria. An indexing or search-service 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

• Author Dashboard: Personalized 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 Machine Learning Research

Beyond Artificial Intelligence and Machine Learning, 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 broad scope supports interdisciplinary research connecting AI and ML with healthcare, cybersecurity, cloud computing, IoT, robotics, computer vision, networks and other areas of computer science and engineering.

📝 Preparing an AI ML Manuscript for DOI Publication

Before submitting to an AI ML journal with DOI, authors can ensure that the manuscript clearly explains the research problem, objectives, methodology, datasets or experimental setup, model or algorithm, results, discussion and conclusions. The research should demonstrate a clear contribution to the selected Artificial Intelligence or Machine Learning topic.

Relevant areas from the supplied scope include Explainable AI, NLP, autonomous vehicles and robotics, medical AI, supervised and unsupervised learning, reinforcement learning, Federated Learning, Edge Machine Learning, anomaly detection and forecasting.

⭐ Key IJSREAT Publication Features

• International and Multidisciplinary: Research coverage spans 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 publication model.
• Fast Publication: The supplied workflow provides stated response and decision timelines.
• Plagiarism Protection: Rigorous screening is stated as part of the process.
• COPE Compliance: The source states adherence to COPE Best Practice Guidelines.
• DOI Option: The APC information specifically lists a with-DOI publication option.
• Editorial Tracking: Authors can monitor manuscript progress through the editorial system.

🚀 Submit Your AI ML Research with DOI

Researchers with manuscripts matching the journal's Artificial Intelligence, Machine Learning, Data Science or Computer Science scope can review the publication process, APC information, indexing details and their institutional requirements before submission.

For queries: editorinchief@ijsreat.com

Submission Portal: Submit Manuscript to IJSREAT

For researchers specifically seeking an AI ML journal with DOI, IJSREAT's supplied publication information includes Artificial Intelligence, Machine Learning, Data Science and Computer Science within its scope, along with a stated DOI publication option and open-access model.