Data Science and AI Journal with Fast Publication
Data Science and AI 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 and AI journal with fast publication committed to advancing innovation in computer science, artificial intelligence, and analytics-driven technologies. The journal is recognized for its fast publication, transparent peer review, and low cost article processing charges, ensuring strong global visibility through Google Scholar and major indexing platforms.
Established by academicians and industry experts, this Data science and AI journal with fast publication supports high-impact interdisciplinary research aligned with UGC CARE-focused academic standards. IJSREAT bridges research theory and real-world implementation across science, engineering, and emerging technology domains.
📊 Scope of the Data Science and AI Journal with Fast Publication
As a trusted Data science and AI journal with fast publication, IJSREAT welcomes original research papers, review articles, and technical notes that advance modern computer science and analytics research.
🤖 Artificial Intelligence & Machine Learning
- Explainable AI (XAI)
- Supervised and Unsupervised Learning
- Reinforcement Learning systems
- AI applications in healthcare and robotics
📈 Data Science & Big Data Analytics
- Hadoop and Spark frameworks
- Predictive analytics and forecasting
- Data visualization and storytelling
- Ethics in AI and data governance
🧠 Deep Learning & Neural Networks
- Convolutional Neural Networks (CNNs)
- Transformer models
- Natural Language Processing (NLP)
- Image and video analytics
🔐 Cybersecurity & Secure AI Systems
- AI-based malware detection
- Network intrusion detection systems (NIDS)
- Blockchain security applications
- Secure communication protocols
☁️ Cloud, IoT & Emerging Technologies
- Cloud computing and virtualization
- IoT security frameworks
- 5G/6G wireless networks
- Quantum computing foundations
🚀 Why Choose This Data Science and AI Journal with Fast Publication?
⚡ Rapid Publication: Peer review decisions within 3 days ensuring genuine fast publication.
💰 Low Cost APC: Affordable publication model suitable for researchers and PhD scholars.
🌍 Google Scholar Indexed: Strong discoverability via Google Scholar and global indexing databases.
📑 UGC CARE Focus: Designed to meet institutional and academic compliance requirements.
🛡️ Plagiarism Protection: Strict ethical policies and COPE-based guidelines.
💻 Computer Science Excellence: Comprehensive coverage across AI, data science, and advanced computer science 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 Rapid 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 efficient workflow makes IJSREAT a preferred Data science and AI journal with fast publication for authors seeking rapid publication, low cost processing charges, and maximum academic visibility.
💳 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 and AI researchers.
📩 Submit Your Data Science & AI Research
For queries: editorinchief@ijsreat.com
🚀 Submit to Data Science and AI Journal
If you are searching for a trusted Data science and AI 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 ideal platform for publishing impactful research in artificial intelligence and advanced computer science.