📊 Peer Reviewed Data Science Journal – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal dedicated to advancing research across Science, Engineering, Technology, and computer science.

Researchers looking for a peer reviewed data science journal can consider IJSREAT for research related to data science, data analytics, machine learning, artificial intelligence, big data, predictive analytics, cybersecurity, cloud computing, and other emerging areas of computer science and technology.

IJSREAT was established by academicians, educationists, engineers, and industry professionals to provide a platform for publishing innovative ideas, original research findings, technological developments, and fundamental advancements across diverse engineering and scientific disciplines. Its open-access model supports the dissemination of research to academic and professional audiences.

🔬 Peer Reviewed Data Science Journal for Research

Data science combines statistical methods, computing, machine learning, data management, and analytical techniques to extract useful insights from structured and unstructured data. A peer reviewed data science journal provides researchers with a scholarly platform for presenting methodologies, datasets, experiments, analytical models, findings, and practical applications.

IJSREAT includes Data Science & Analytics within its stated scope and also covers closely related areas such as machine learning, artificial intelligence, cybersecurity, cloud computing, IoT, software engineering, computer vision, NLP, and robotics.

Authors evaluating a low cost data science publication option can review the journal's scope, peer-review process, APC structure, publication ethics, indexing information, and institutional requirements. The supplied journal information also highlights fast publication and rapid publication through its stated editorial workflow.

📚 Scope of IJSREAT

The International Journal of Scientific Research in Engineering & Technology welcomes high-quality original research papers, review articles, and technical notes contributing to the advancement of Science, Engineering, Technology, data science, and 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

📈 Data Science & Analytics Research Areas

💾 Big Data Frameworks

Big data processing using Hadoop
Apache Spark and distributed data processing
Large-scale data storage and management
Scalable data processing architectures

📊 Data Visualization and Storytelling

Interactive data visualization
Visual analytics and dashboards
Data storytelling techniques
Visualization for complex datasets

🔮 Predictive Analytics

Predictive analytics in business
Healthcare data analytics
Forecasting and predictive modeling
Data-driven decision support systems

⚖️ Data Ethics

Ethics in data collection and usage
Responsible data management
Privacy and responsible analytics
Fairness and accountability in data-driven systems

🤖 Artificial Intelligence and Machine Learning

Data science research frequently overlaps with artificial intelligence and machine learning. IJSREAT's stated scope includes research involving intelligent algorithms, predictive models, learning systems, and data-driven applications.

Explainable AI (XAI) techniques
Natural Language Processing (NLP) 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

🔐 Cybersecurity and Data Analytics

Data-driven cybersecurity is an important area of modern computer science. Research can investigate how data analytics and machine learning support threat detection, network monitoring, secure communication, and cybersecurity decision-making.

Malware detection using AI
Blockchain for cybersecurity
Network intrusion detection systems (NIDS)
Cryptography and secure communication

☁️ Cloud Computing and Big Data

Serverless architecture and functions
Cloud migration and hybrid cloud
Virtualization using VMs and containers
Cost and energy optimization in cloud systems

🌐 Internet of Things and Data Science

Smart cities and connected devices
IoT security and encryption protocols
Sensor networks for agriculture and environment
Edge and fog computing in IoT

💻 Software Engineering

Agile and DevOps practices
Software quality assurance and testing
Requirements engineering and prototyping
Model-Driven Development (MDD)

⛓️ Blockchain Technology

Smart contracts and decentralized applications (dApps)
Blockchain in financial services and voting
Energy-efficient consensus mechanisms
Blockchain scalability and security

📡 Computer Networks

5G and 6G wireless technologies
Software Defined Networking (SDN)
Network security protocols
Internet performance optimization

🖼️ Image Processing & Computer Vision

Image segmentation and classification
Object detection in video surveillance
Face recognition and biometrics
Medical image analysis using CNNs

🖥️ Human-Computer Interaction

Usability in web and mobile applications
Gesture and speech-based interfaces
Eye-tracking and AR/VR interfaces
Accessibility in UI/UX design

🤖 Robotics and Embedded Systems

Autonomous navigation systems
Real-time operating systems (RTOS)
Robot kinematics and control
Embedded AI for intelligent systems

💬 Natural Language Processing

Sentiment analysis and text summarization
Language translation models
Chatbots and virtual assistants
NLP for low-resource languages

⚛️ Quantum Computing

Quantum algorithms such as Shor's and Grover's algorithms
Quantum cryptography
Challenges in building quantum systems
Hybrid quantum-classical architectures

🌍 Interdisciplinary Data Science Research

IJSREAT aims to promote innovative research, technological development, and academic excellence by providing a platform for researchers, scholars, academicians, engineers, and industry professionals to share their insights and findings.

The journal encourages interdisciplinary submissions that bridge theory and practice. Data science research can connect statistical analysis, machine learning, artificial intelligence, healthcare, business analytics, cybersecurity, cloud computing, IoT, and other areas of computer science.

⚡ Why Consider IJSREAT?

🚀 Rapid Peer Review

The supplied journal information states that the peer-review process delivers decisions within 3 days. Actual processing time may vary depending on reviewer availability, manuscript quality, revisions, and editorial requirements.

🌐 Open Access

IJSREAT describes its publication model as open access, making published research freely available online to readers.

⏱️ Efficient Process

The stated workflow is designed to provide quick responses from submission through publication. This may be relevant to researchers seeking fast publication or rapid publication, subject to the actual editorial process.

🛡️ Plagiarism Protection

Rigorous screening is described as part of the journal's approach to maintaining academic integrity and supporting manuscript quality.

📖 COPE Compliance

IJSREAT states that it follows COPE's Best Practice Guidelines. Authors should review the latest publication ethics policies before submission.

🌟 Impact Beyond Academia

The journal emphasizes research that can contribute to academic knowledge, technological development, industry applications, and broader societal outcomes.

🔎 Indexing & Abstracting

The supplied IJSREAT information lists the following services under indexing and abstracting. Authors should independently verify current inclusion and coverage, especially when Google Scholar visibility or institutional indexing requirements are important.

Google Scholar
Scribd
ISSUU
Elsevier Mendeley
EuroPub
DRJI
Academic Keys
Edocr
I2OR
PDFSR
ResearchBIB
SSRN
WorldCat
Ex Libris
Thomson Reuters Research ID
Semantic Scholar
Dimensions
PlumX

📝 Streamlined Publication Process

The supplied publication information describes a transparent workflow designed to guide authors from manuscript submission through peer review and final publication.

Submit Online: 24/7 submission through the editorial management system.
Initial Response: Acknowledgment is stated as being provided within 12 hours.
Expert Review: The supplied information states that peer review can be completed within 2 days.
Decision Notification: Acceptance or rejection is stated as being communicated within 3 days.
Publication & Certificate: Instant PDF access and a digital certificate are stated as available after publication.

Review timelines can vary based on reviewer availability, manuscript revisions, editorial checks, and other publication requirements. Authors should confirm the current process with the journal.

💰 Article Processing Charges

IJSREAT describes its publication as open access and freely available online to readers. Open access should not be confused with zero author publication charges. The supplied information states that a fee is applicable after manuscript acceptance.

🇮🇳 For Indian Authors

Without DOI: INR 1200 + 18% GST
With DOI: INR 1400 + 18% GST

🌎 For Authors Outside India

With DOI: $80 USD

APCs, taxes, and DOI options may change. Authors should confirm the current fee schedule with IJSREAT before submitting or making payment.

🖥️ Advanced Editorial Management System

Author Dashboard: Personalized account with submission history and status updates.
Real-Time Tracking: Monitor your manuscript'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.

📋 How to Evaluate a Data Science Journal

Before submitting a manuscript to a peer reviewed data science journal, researchers should evaluate the publication venue against their research topic and academic requirements.

Check whether the journal scope matches your data science research.
Review the peer-review process and editorial policies.
Verify indexing and abstracting claims independently.
Check institutional requirements for journal recognition.
Verify current UGC CARE-related requirements when applicable.
Review APCs, taxes, DOI options, and payment terms.
Examine plagiarism, publication ethics, correction, and retraction policies.
Consider whether the journal reaches your intended computer science research audience.

💡 Data Science, Computer Science and Emerging Technology

Modern data science is closely connected with machine learning, artificial intelligence, cybersecurity, cloud computing, IoT, computer vision, NLP, software engineering, and other areas of computer science. IJSREAT's multidisciplinary scope allows research to address these interconnected technologies.

For researchers seeking a peer reviewed data science journal, IJSREAT can be evaluated according to its stated scope, editorial workflow, open-access model, APC structure, publication ethics, and indexing information.

Authors seeking Google Scholar visibility or considering UGC CARE requirements should independently verify current indexing and recognition information before submission. A low cost or rapid publication option should also be assessed against the researcher's institutional and academic requirements.

📨 Submit Your Data Science Research

Researchers whose manuscripts fit the stated IJSREAT scope can submit their work through the editorial management system. Before submission, authors should review the latest author guidelines, peer-review requirements, APC details, publication ethics, and indexing information.

For queries: editorinchief@ijsreat.com

Ready to publish your research?

Submit your manuscript through the IJSREAT editorial management system:

Submit Manuscript

International Journal of Scientific Research in Engineering & Technology (IJSREAT) — e-ISSN: 2583-1240 | Bi-monthly | Open Access | Data Science, Machine Learning & Computer Science Research

Peer Reviewed Data Science Journal for Research | IJSREAT