🤖 Generative AI Research Journal – IJSREAT

Researchers looking for a generative AI research journal can consider the International Journal of Scientific Research in Engineering & Technology (IJSREAT), e-ISSN 2583-1240. IJSREAT is described as a bi-monthly, international, peer-reviewed, open-access and multidisciplinary online journal dedicated to research across Science, Engineering and Technology.

The journal welcomes original research papers, review articles and technical notes. Its stated scope includes Artificial Intelligence, Machine Learning and Data Science, along with Computer Science and Information Technology, Natural Language Processing, Image Processing & Computer Vision, Robotics and other emerging technology areas.

🧠 Generative AI Research in Artificial Intelligence

Generative AI is part of the broader Artificial Intelligence research landscape. IJSREAT's supplied scope specifically includes Explainable AI (XAI), Natural Language Processing models, AI applications in autonomous vehicles and robotics, and AI applications in medicine and diagnostics.

The journal also identifies NLP models such as ChatGPT and DeepSeek as examples within its Artificial Intelligence scope. Researchers can therefore examine how their generative AI manuscript aligns with the journal's stated AI, NLP, Machine Learning and Data Science areas.

🔬 Generative AI and Machine Learning Research

Generative AI research is closely connected with Machine Learning. IJSREAT lists supervised and unsupervised learning, reinforcement learning, federated and edge machine learning, anomaly detection and forecasting among its Machine Learning topics.

Supervised and unsupervised learning
Reinforcement learning
Federated machine learning
Edge machine learning
Machine learning for anomaly detection
Machine learning for forecasting
Explainable AI techniques

💬 Generative AI and Natural Language Processing

Natural Language Processing is another important area for generative AI research. The IJSREAT scope includes NLP models, sentiment analysis, text summarization, language translation models, chatbots and virtual assistants, and NLP for low-resource languages.

NLP models and generative language applications
Sentiment analysis
Text summarization
Language translation models
Chatbots and virtual assistants
NLP for low-resource languages

Researchers developing language-based generative AI systems can therefore evaluate their work against these stated NLP and AI research categories.

💻 Generative AI for Computer Science Research

Computer Science and Information Technology is explicitly included in the journal's broad scope. A generative AI manuscript may therefore be connected with computer science research involving intelligent software, language technologies, data analytics, cybersecurity, computer vision, HCI, robotics or other listed areas.

Artificial Intelligence and Machine Learning
Natural Language Processing
Data Science and Analytics
Image Processing and Computer Vision
Human-Computer Interaction
Software Engineering
Cybersecurity
Cloud Computing
Robotics and Embedded Systems

👁️ Generative AI and Computer Vision

IJSREAT also identifies Image Processing & Computer Vision as a dedicated research area. The stated topics include image segmentation and classification, object detection in video surveillance, face recognition and biometrics, and medical image analysis using CNNs.

Generative AI research involving visual systems can therefore be considered alongside these broader AI and computer vision areas when assessing manuscript scope.

📊 Generative AI, Data Science and Analytics

IJSREAT includes Data Science & Analytics within its scope. The supplied content identifies Big Data frameworks such as Hadoop and Spark, data visualization and storytelling, predictive analytics in business and healthcare, and ethics in data collection and usage.

This creates a stated interdisciplinary connection for generative AI research involving data processing, analytics, predictive systems and responsible use of data.

⚡ Fast Publication and Rapid Publication for AI Research

Researchers seeking fast publication or rapid publication can review the publication workflow supplied by IJSREAT. 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: The source states that acknowledgment is received within 12 hours.
Expert Review: The supplied process 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: The source states that instant PDF access and a digital certificate are provided.

IJSREAT also states that its strict peer review process delivers decisions within 3 days. Actual timelines can depend on editorial assessment, reviewer availability, manuscript revisions and other requirements.

💰 Low Cost Generative AI Research Publication

IJSREAT describes its publication model as open access and states that a minimal publication fee is required from authors after manuscript acceptance. This may be relevant to researchers comparing low cost publication options for Artificial Intelligence, Machine Learning and computer science research.

Author Category	Publication Option	Fee
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 reproduced from the supplied journal information and are stated as payable after manuscript acceptance.

🌐 Open Access Generative AI Research Journal

IJSREAT is described as an open-access research journal within its multidisciplinary publishing model. The supplied information states that published research is freely available online.

The journal states that immediate open access helps research reach policymakers, industry leaders and global researchers. It also emphasizes interdisciplinary submissions that bridge theory and practice.

📚 Google Scholar and Indexing & Abstracting

The supplied IJSREAT information lists Google Scholar under its Indexing & Abstracting section. It also lists Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters - Research ID, Semantic Scholar, Dimensions and PlumX.

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 Verification for Generative AI Authors

The supplied journal information lists Google Scholar and other indexing or abstracting services, but it does not establish a current UGC CARE recognition status. Authors who specifically require UGC CARE recognition should independently verify the current status through the relevant official authority before submitting a manuscript or relying on the journal for institutional requirements.

🛡️ Peer Review and Publication Ethics

A generative AI research journal should provide a scholarly publication process. IJSREAT states that it follows a strict peer review process and highlights plagiarism protection and COPE Best Practice Guidelines.

Rapid Peer Review: The journal states that decisions are delivered within 3 days.
Plagiarism Protection: Rigorous screening is described as part of the publication process.
COPE Compliance: The journal states that it follows COPE's Best Practice Guidelines.
Open Access Policy: Published research is described as immediately accessible online.
Impact Beyond Academia: The journal emphasizes research with wider practical impact.

📝 Generative AI Research Topics for Submission

Researchers preparing a manuscript for a generative AI research journal can compare their topic with the journal's stated Artificial Intelligence, Machine Learning, Data Science, NLP and Computer Science areas.

Generative AI and Artificial Intelligence
AI and Natural Language Processing
NLP models and conversational systems
Chatbots and virtual assistants
Text summarization and language applications
AI for autonomous vehicles and robotics
AI applications in medicine and diagnostics
Explainable AI
Machine Learning and Data Science
Computer vision and image analysis

🖥️ Advanced Editorial Management System

IJSREAT describes an Advanced Editorial Management System designed to support authors throughout manuscript submission and publication.

Author Dashboard: Personalized submission history and status updates.
Real-Time Tracking: Monitor paper progress through every stage.
Automated Documents: Instant generation of acceptance letters and copyright forms.
Easy Downloads: One-click access to certificates and published papers.

🌍 Multidisciplinary Research Scope

Beyond Artificial Intelligence and Machine Learning, IJSREAT's stated scope includes Electrical, Electronics and Communication Engineering; Mechanical and Civil Engineering; Chemical and Environmental Engineering; Biomedical and Biotechnology Engineering; Renewable Energy Systems; Materials Science and Nanotechnology; and Applied Physics, Chemistry and Mathematics.

The journal also lists cybersecurity, cloud computing, IoT, software engineering, blockchain, computer networks, image processing and computer vision, HCI, robotics, NLP and quantum computing. This multidisciplinary structure supports the journal's stated objective of bridging theory and practical applications across science and engineering.

🚀 Generative AI Research Journal – Key Features

Based on the supplied IJSREAT information, researchers evaluating a generative AI research journal can review these stated features:

International, peer-reviewed and open-access journal model
Computer Science and Information Technology coverage
Artificial Intelligence, Machine Learning and Data Science scope
Natural Language Processing research coverage
Image Processing and Computer Vision coverage
Stated rapid peer-review and decision process
24/7 online manuscript submission
Author dashboard and real-time tracking
Open-access publication model
Publication fee information provided after manuscript acceptance