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 and data science 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 to provide a platform for original research contributions, technological innovations and fundamental advancements. Its open-access, peer-reviewed approach is intended to connect academic research with practical applications in emerging areas of Science, Engineering and Technology.

AI and Data Science Journal – IJSREAT

Artificial Intelligence and Data Science are closely connected research areas involving intelligent systems, data-driven analysis, predictive methods and computational technologies. The IJSREAT scope explicitly includes Artificial Intelligence, Machine Learning and Data Science, making these subjects central areas for researchers preparing manuscripts in modern computer science.

🤖 Artificial Intelligence Research Scope

IJSREAT lists several Artificial Intelligence topics within its research scope. These areas provide opportunities for researchers developing AI methods, intelligent applications and interdisciplinary solutions.

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

🧠 Machine Learning and Data Science

The journal also includes Machine Learning and Data Science & Analytics. Researchers can explore statistical, computational and machine-learning approaches for analyzing data and developing predictive or intelligent systems.

• Supervised and unsupervised learning
• Reinforcement learning in gaming and robotics
• Federated and Edge Machine Learning
• Machine learning for anomaly detection and forecasting
• Big Data frameworks including Hadoop and Spark
• Data visualization and storytelling
• Predictive analytics in business and healthcare
• Ethics in data collection and usage

📊 AI and Data Science Journal Research Areas

The combination of AI and Data Science creates opportunities for research across data analytics, intelligent prediction, automation, natural language processing and computational decision systems. The stated IJSREAT scope supports several interdisciplinary directions.

• AI and Big Data: Applying intelligent methods to large-scale datasets.
• Machine Learning: Developing models for classification, prediction and anomaly detection.
• Predictive Analytics: Data-driven applications in business and healthcare.
• NLP: Language processing, translation, summarization and conversational systems.
• Computer Vision: Image segmentation, classification, object detection and medical image analysis.
• AI in Robotics: Autonomous navigation, control and embedded AI.
• Edge AI: Federated and Edge Machine Learning applications.
• Data Ethics: Responsible data collection and usage.

💻 Computer Science and Information Technology

IJSREAT explicitly includes Computer Science and Information Technology within its broad journal scope. AI and Data Science research can therefore intersect with multiple areas of computer science and emerging information technologies.

• 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, connected devices, IoT security and Edge/Fog computing.
• Software Engineering: Agile, DevOps, quality assurance, testing and requirements engineering.
• Blockchain: Smart contracts, decentralized applications, financial services, voting and scalability.
• Computer Networks: 5G/6G, SDN, network security and Internet performance.
• Image Processing and Computer Vision: Segmentation, object detection, biometrics and medical imaging.
• Human-Computer Interaction: Usability, gesture and speech interfaces, AR/VR and accessibility.
• Robotics and Embedded Systems: Autonomous navigation, RTOS, kinematics, control and embedded AI.
• Natural Language Processing: Sentiment analysis, summarization, translation and virtual assistants.
• Quantum Computing: Quantum algorithms, quantum cryptography and hybrid architectures.

📚 AI and Data Science Journal Publication

IJSREAT welcomes high-quality original research papers, review articles and technical notes that contribute to Science, Engineering and Technology. An AI and data science journal submission can be aligned with the journal's stated scope when the manuscript addresses relevant topics such as Artificial Intelligence, Machine Learning, Data Science, Big Data or related computer science applications.

Authors should ensure that their research is original, clearly presented and appropriately connected to the selected research area before submission.

🚀 Fast Publication and Rapid Peer Review

The supplied IJSREAT information states that its strict peer-review process delivers decisions within 3 days. Its detailed publication workflow separately states an initial response 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 may depend on editorial assessment, reviewer availability and manuscript requirements. A fast publication timeline should not be interpreted as a guarantee of manuscript acceptance.

⚡ Streamlined AI Research Publication Process

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

💰 Low Cost AI and Data Science 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:

Researchers interested in a low cost AI and Data Science publication should confirm the current APC, DOI conditions, applicable taxes and payment requirements before submission.

🌐 Google Scholar and Indexing Information

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

🎓 UGC CARE and AI Journal Verification

Researchers searching for an AI and data science journal may also encounter terms such as UGC CARE, Google Scholar, fast publication, rapid publication, low cost and computer science.

These criteria should be evaluated separately. In particular, 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 a paper for a specific academic purpose.

📋 Advanced Editorial Management System

The supplied journal information describes an editorial management system that provides authors with submission tracking and access to publication-related 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.

🔬 Interdisciplinary AI and Data Science Research

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

This broad scope enables interdisciplinary research connecting AI and Data Science with healthcare, cybersecurity, cloud computing, IoT, robotics, computer vision, networks and other areas of computer science and engineering.

📝 Preparing an AI and Data Science Manuscript

An AI and Data Science manuscript can clearly present its research problem, objectives, data sources, methodology, model or analytical approach, experimental results, discussion and conclusions. Researchers should make the connection between their research contribution and the journal's stated subject scope clear.

Relevant topics may include explainable AI, machine learning, predictive analytics, Big Data, NLP, computer vision, healthcare AI, anomaly detection, Edge Machine Learning and responsible data practices, all of which are represented in the supplied scope.

⭐ Why Consider IJSREAT for AI and Data Science Research?

• International and Multidisciplinary: Research coverage spans Science, Engineering and Technology.
• Peer Review: The supplied information describes a strict peer-review process.
• Open Access: The journal describes immediate open access for published research.
• Fast Publication: The stated workflow includes defined 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.
• Editorial Tracking: Authors can monitor manuscript progress through the editorial system.

🚀 Submit to an AI and Data Science Journal

Researchers whose manuscripts fit the stated scope can review the peer-review process, open-access model, APC information, indexing information and institutional requirements before submission. For queries, the supplied information lists editorinchief@ijsreat.com.

Submission Portal: Submit Manuscript to IJSREAT

The AI and data science journal scope at IJSREAT brings together Artificial Intelligence, Machine Learning, Data Science, Big Data and related computer science research areas, providing a multidisciplinary framework for researchers working on emerging technologies.