Peer Reviewed AI Research Journal for AI Research | IJSREAT
Peer Reviewed AI Research Journal – IJSREAT
The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is described as a bi-monthly, international, peer-reviewed, open-access and multidisciplinary online journal dedicated to research across Science, Engineering and Technology. Researchers looking for a peer reviewed AI research journal can explore its stated coverage of Artificial Intelligence, Machine Learning, Data Science and related computer science disciplines.
IJSREAT was established by academicians, educationists, engineers and industry professionals with the objective of providing a platform for original research contributions, technological innovations and fundamental advancements. The journal encourages research that connects academic knowledge with practical applications in emerging areas.
✦ Peer Reviewed AI Research Journal – Scope
IJSREAT welcomes high-quality original research papers, review articles and technical notes contributing to Science, Engineering and Technology. Its multidisciplinary scope includes Artificial Intelligence, Machine Learning, Data Science, Information Technology and other areas of computer science.
- 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
◆ Artificial Intelligence Research Areas
The Artificial Intelligence scope includes several research directions suitable for authors preparing manuscripts for a peer reviewed AI research journal.
- Explainable AI: Explainable AI (XAI) techniques.
- Natural Language Processing: NLP models, including the examples identified in the source.
- Autonomous Systems: AI applications in autonomous vehicles and robotics.
- Healthcare AI: AI applications in medicine and diagnostics.
● Machine Learning and Data Science Research
IJSREAT's stated scope connects AI research with Machine Learning and Data Science & Analytics. These areas support interdisciplinary research across modern computational methods.
- Machine Learning: Supervised and unsupervised learning.
- Reinforcement Learning: Applications in gaming and robotics.
- Federated and Edge ML: Research involving distributed and edge-based learning.
- Anomaly Detection: Machine learning for anomaly detection and forecasting.
- Big Data: Hadoop and Spark frameworks.
- Data Visualization: Visualization and storytelling.
- Predictive Analytics: Applications in business and healthcare.
- Data Ethics: Ethical considerations in data collection and usage.
✺ AI, Cybersecurity, Cloud and IoT
AI research can also intersect with cybersecurity, cloud computing and Internet of Things technologies. IJSREAT includes these areas within its multidisciplinary scope, creating opportunities for broader computer science research.
- Cybersecurity: Malware detection using AI, blockchain for cybersecurity, NIDS, cryptography and secure communication.
- Cloud Computing: Serverless architecture, cloud migration, hybrid cloud, virtualization and cost and energy optimization.
- Internet of Things: Smart cities, connected devices, IoT security, sensor networks, Edge and Fog computing.
- Software Engineering: Agile, DevOps, quality assurance, testing, requirements engineering and Model-Driven Development.
- Blockchain: Smart contracts, decentralized applications, financial services, voting, consensus, scalability and security.
★ Computer Science and Emerging AI Technologies
The journal's broader computer science coverage includes computer networks, image processing and computer vision, human-computer interaction, robotics and embedded systems, NLP and quantum computing.
- Computer Networks: 5G/6G wireless technologies, SDN, network security and Internet performance optimization.
- Image Processing & Computer Vision: Image segmentation, classification, object detection, face recognition and medical image analysis.
- Human-Computer Interaction: Usability, gesture and speech interfaces, eye tracking, AR/VR and accessibility.
- Robotics & Embedded Systems: Autonomous navigation, RTOS, robot kinematics and control, and embedded AI.
- Natural Language Processing: Sentiment analysis, text summarization, translation, chatbots and virtual assistants.
- Quantum Computing: Quantum algorithms, quantum cryptography, quantum systems and hybrid quantum-classical architectures.
⚡ Fast Publication and Peer Review Process
Researchers seeking a peer reviewed AI research journal can review the publication workflow stated in the supplied IJSREAT information. The process includes online submission, initial acknowledgment, expert review, decision notification and publication.
- Submit Online: 24/7 submission through the editorial management system.
- Initial Response: Acknowledgment within 12 hours.
- Expert Review: Complete peer review within 2 days.
- Decision Notification: Acceptance or rejection within 3 days.
- Publication & Certificate: Instant PDF access and digital certificate.
The source also states that the strict peer-review process delivers decisions within 3 days. These are stated workflow timeframes and should not be interpreted as a guarantee of acceptance or a guaranteed publication date.
₹ Low Cost Open Access AI Publication
IJSREAT describes its publication model as open access and states that a minimal fee is required after manuscript acceptance. The supplied source provides APC information for case reports, original articles and review articles.
| Author Category | Publication Option | APC |
|---|---|---|
| Indian Authors | Without DOI | 1200 INR + 18% GST |
| Indian Authors | With DOI | 1400 INR + 18% GST |
| Other than Indian Authors | With DOI | $80 USD |
The APC figures are taken from the supplied source. Authors should confirm current fees, taxes, DOI arrangements and publication conditions directly with the journal before submission.
✓ Google Scholar and Indexing & Abstracting
The supplied IJSREAT information lists Google Scholar under Indexing & Abstracting. Other services and platforms listed in the source include:
- Google Scholar
- Scribd
- ISSUU
- Elsevier Mendeley
- EuroPub
- DRJI
- Academic Keys
- Edocr
- I2OR
- PDFSR
- ResearchBIB
- SSRN
- WorldCAT
- Exlibris (part of Clarivate)
- Thomson Reuters - Research ID
- Semantic Scholar
- Dimensions
- PlumX
UGC CARE note: The supplied source does not establish that IJSREAT is currently listed in UGC CARE. Researchers who specifically require UGC CARE recognition should independently verify the current official status before submission.
✦ Why Consider IJSREAT for AI Research?
- Peer Review: The source states that manuscripts undergo a strict peer-review process.
- AI Scope: The journal explicitly includes Artificial Intelligence research.
- Machine Learning: ML and related computational research are included within the scope.
- Open Access: IJSREAT describes its publication model as open access.
- Fast Publication: Stated workflow timeframes cover acknowledgment, review and decision stages.
- Low Cost: Specific APC amounts are provided after manuscript acceptance.
- Google Scholar: Google Scholar is listed under indexing and abstracting.
- Computer Science: The journal covers multiple computer science and information technology areas.
- Publication Ethics: The source states adherence to COPE Best Practice Guidelines.
▣ Advanced Editorial Management System
- 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.
✎ Preparing an AI Research Manuscript
Authors preparing a manuscript for a peer reviewed AI research journal should clearly explain the research problem, objectives, methodology, data or experimental setup, evaluation approach, results, discussion, limitations and conclusions.
AI and machine learning manuscripts should clearly describe the computational methods and research contribution. Authors should also ensure that their work aligns with the journal's stated scope in Artificial Intelligence, Machine Learning, Data Science or related computer science fields.
➜ Submit Your AI Research Paper
Researchers seeking a peer reviewed AI research journal can submit their manuscript through the IJSREAT editorial management system.
For queries: editorinchief@ijsreat.com
🔎 Peer Reviewed AI Research Journal – Key Information
IJSREAT is described in the supplied source as an international, peer-reviewed, open-access journal covering Artificial Intelligence, Machine Learning, Data Science, computer science, engineering and emerging technologies.
For researchers exploring a peer reviewed AI research journal, the supplied information includes a stated peer-review process, fast publication workflow timeframes, open-access publication, low cost APC information and Google Scholar indexing information. UGC CARE status is not established by the supplied source and should be independently verified when required.
