Data Science Journal Fast Publication for Research | IJSREAT
Data Science Journal Fast Publication – IJSREAT
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 looking for a data science journal fast publication option can explore its stated coverage of data science, artificial intelligence, machine learning 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 approach supports the dissemination of research and practical applications across emerging scientific and engineering disciplines.
✦ Data Science Journal – Scope and Research Coverage
IJSREAT welcomes high-quality original research papers, review articles and technical notes. Its multidisciplinary scope includes data science, artificial intelligence, machine learning, computer science, engineering and other emerging areas.
- 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
◆ Data Science & Analytics Research Areas
The data science scope includes research involving large-scale data processing, visualization, predictive analytics and responsible data practices. These areas are relevant to researchers preparing manuscripts for a data science journal fast publication workflow.
- Big Data Frameworks: Hadoop and Spark technologies.
- Data Visualization: Visualization and data storytelling approaches.
- Predictive Analytics: Applications in business and healthcare.
- Data Ethics: Ethical considerations in data collection and usage.
● Artificial Intelligence and Machine Learning
Data science research often connects with artificial intelligence and machine learning. IJSREAT's stated scope includes both areas, allowing interdisciplinary research involving data-driven models, intelligent systems and computational methods.
- Explainable AI (XAI) techniques
- Natural Language Processing models
- AI applications in autonomous vehicles and robotics
- AI applications in medicine and diagnostics
- Supervised and unsupervised learning
- Reinforcement learning in gaming and robotics
- Federated and Edge Machine Learning
- Machine learning for anomaly detection and forecasting
✺ Data Science, Cybersecurity, Cloud and IoT
Modern data science can intersect with cybersecurity, cloud computing and IoT. The IJSREAT scope includes these areas, providing opportunities for interdisciplinary computer science and technology research.
- Cybersecurity: AI-based malware detection, blockchain for cybersecurity, NIDS, cryptography and secure communication.
- Cloud Computing: Serverless architecture, cloud migration, hybrid cloud, virtualization and cost optimization.
- Internet of Things: Smart cities, connected devices, IoT security, sensor networks, Edge and Fog computing.
★ Computer Science and Emerging Technology
IJSREAT provides broad computer science coverage alongside data science. Researchers can connect data-driven studies with software engineering, blockchain, computer networks, image processing, computer vision, HCI, robotics, NLP and quantum computing.
- Software Engineering: Agile, DevOps, software testing, requirements engineering and Model-Driven Development.
- Blockchain: Smart contracts, decentralized applications, financial services, voting, consensus and scalability.
- Computer Networks: 5G/6G, Software Defined Networking, network security and Internet performance.
- Image Processing & Computer Vision: 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 control and embedded AI.
- Natural Language Processing: Sentiment analysis, summarization, translation, chatbots and low-resource languages.
- Quantum Computing: Quantum algorithms, quantum cryptography and hybrid quantum-classical architectures.
⚡ Fast Publication and Rapid Publication Process
Researchers specifically searching for a data science journal fast publication process can review the workflow described in the supplied IJSREAT information. The stated process includes online submission, 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 the journal's stated workflow timeframes and should not be treated as a guarantee of acceptance or a guaranteed total publication period.
₹ Low Cost Data Science Journal Publication
IJSREAT describes its publication model as open access and states that a minimal fee is charged after manuscript acceptance. The supplied fee information applies to 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 fees above are taken from the supplied source. Authors should confirm the current APC, applicable taxes, DOI arrangements and publication terms with the journal before submission.
✓ Google Scholar and Indexing & Abstracting
The supplied IJSREAT information lists Google Scholar under indexing and abstracting. Other listed services and platforms 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 confirm that IJSREAT is currently listed in UGC CARE. If UGC CARE recognition is important for your publication requirement, independently verify the current official status before submitting your data science paper.
✦ Why Consider IJSREAT for Data Science Research?
- Open Access: The journal describes immediate open access as part of its publication policy.
- International Scope: IJSREAT is described as an international multidisciplinary journal.
- Peer Review: The source states that manuscripts undergo a strict peer-review process.
- Fast Publication: The stated workflow includes specific response, review and decision timeframes.
- Low Cost: APC options are provided after manuscript acceptance.
- Plagiarism Protection: Rigorous screening is stated to support academic integrity.
- COPE Compliance: The source states adherence to COPE Best Practice Guidelines.
- Computer Science Coverage: Data science can be connected with AI, ML, cybersecurity, cloud, IoT and other technology areas.
▣ 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 a Data Science Research Paper
Authors preparing a manuscript for a data science journal fast publication workflow should clearly present the research problem, objectives, methodology, datasets, analysis methods, results, discussion, limitations and conclusions.
For data science and computer science research, explain the data sources, preprocessing approach, analytical or machine learning methods, evaluation criteria and research contribution clearly. A well-organized manuscript makes the methodology and findings easier to evaluate during peer review.
➜ Submit Your Data Science Research Paper
Researchers seeking a data science journal fast publication option can use the IJSREAT editorial management system for manuscript submission.
Submit Data Science Research Paper
For queries: editorinchief@ijsreat.com
🔎 Data Science Journal Fast Publication – Key Information
IJSREAT is described in the supplied source as an international, peer-reviewed, open-access journal covering data science, artificial intelligence, machine learning, computer science, engineering and emerging technologies.
For researchers exploring a data science journal fast publication option, the supplied information includes low cost APC options, stated fast publication and rapid publication workflow information, Google Scholar indexing information and broad computer science coverage. UGC CARE status should be independently verified when it is an essential publication requirement.