Data Science Research Journal with Fast Publication
Data Science Research Journal with Fast Publication – IJSREAT
The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a peer-reviewed, open-access Data science research journal with fast publication dedicated to high-impact research in computer science, analytics, and intelligent systems. The journal offers fast publication, transparent peer review, and a low cost article processing model, ensuring strong research visibility through Google Scholar and international indexing services.
Founded by academicians and industry professionals, this Data science research journal with fast publication promotes interdisciplinary innovation aligned with UGC CARE-focused academic standards. IJSREAT bridges theoretical research and real-world applications across science, engineering, and emerging technologies.
📊 Scope of the Data Science Research Journal with Fast Publication
As a trusted Data science research journal with fast publication, IJSREAT welcomes high-quality original research papers, review articles, and technical notes that advance modern data-driven technologies.
📈 Data Science & Big Data Analytics
- Hadoop and Spark frameworks
- Predictive analytics and business intelligence
- Data visualization and storytelling
- Ethics in data collection and governance
🤖 Artificial Intelligence & Machine Learning
- Supervised and Unsupervised Learning
- Reinforcement Learning techniques
- Federated and Edge Machine Learning
- Explainable AI (XAI)
🧠 Deep Learning & Neural Networks
- Convolutional Neural Networks (CNNs)
- Transformer architectures
- Natural Language Processing (NLP)
- Image and video analytics
🔐 Cybersecurity & Secure Data Systems
- AI-driven malware detection
- Network intrusion detection systems (NIDS)
- Blockchain for secure transactions
- Cryptography and privacy protection
☁️ Cloud, IoT & Emerging Technologies
- Cloud computing and virtualization
- IoT data analytics and security
- 5G/6G wireless technologies
- Quantum computing foundations
🚀 Why Choose This Data Science Research Journal with Fast Publication?
⚡ Rapid Publication: Peer review decisions within 3 days ensuring genuine fast publication.
💰 Low Cost APC: Affordable publication fees suitable for researchers, academicians, and PhD scholars.
🌍 Google Scholar Indexed: Strong discoverability through Google Scholar and global indexing databases.
📑 UGC CARE Focus: Designed to meet institutional and academic publication requirements.
🛡️ Plagiarism Protection: Strict ethical standards and COPE-compliant review process.
💻 Computer Science Excellence: Comprehensive coverage across data science and advanced computer science research domains.
📚 Indexing & Abstracting
Indexed in Google Scholar, SSRN, WorldCAT, Dimensions, Semantic Scholar, Mendeley, DRJI, ResearchBIB, Scribd, ISSUU, Academic Keys, EuroPub, Edocr, I2OR, PDFSR, PlumX and more.
📋 Streamlined Fast Publication Process
- Submit Online: 24/7 editorial submission system
- Initial Response: Within 12 hours
- Expert Review: Completed within 2 days
- Decision Notification: Within 3 days
- Publication & Certificate: Instant PDF access and digital certificate
This transparent workflow makes IJSREAT a preferred Data science research journal with fast publication for authors seeking rapid publication and low cost processing charges.
💳 Article Processing Charges
Indian Authors:
- Without DOI: 1200 INR + 18% GST
- With DOI: 1400 INR + 18% GST
International Authors:
- With DOI: $60 USD
Transparent and low cost fast publication ensures accessibility for global data science researchers.
📩 Submit Your Data Science Research Today
For queries: editorinchief@ijsreat.com
🚀 Submit to Data Science Research Journal
If you are searching for a reliable Data science research journal with fast publication offering fast publication, rapid publication, low cost APC, UGC CARE-focused compliance, and strong indexing in Google Scholar, IJSREAT is your trusted platform for publishing impactful research in data science and advanced computer science.