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Generative AI Journal Publication | Fast, Low Cost | IJSREAT

CategoryBlog Published04 Nov 2026 Reading time8 min
Generative AI Journal Publication | Fast, Low Cost | IJSREAT
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  1. ๐Ÿค– Generative AI Journal Publication
  2. ๐Ÿง  Generative AI Journal Publication at IJSREAT
  3. โœจ Generative AI Research Areas
  4. ๐Ÿง  Artificial Intelligence & Machine Learning
  5. ๐Ÿ–ผ๏ธ Generative AI & Computer Vision
  6. ๐Ÿ’ฌ Generative AI & Natural Language Processing
  7. โ˜๏ธ Generative AI in Cloud, IoT & Edge Computing
  8. ๐Ÿ” Responsible Generative AI Research
  9. ๐Ÿ’ป Generative AI & Computer Science
  10. ๐ŸŒ Broader IJSREAT Research Scope
  11. โญ Why Choose IJSREAT for Generative AI Publication?
  12. ๐Ÿ”Ž Google Scholar & Generative AI Publication
  13. ๐ŸŽ“ UGC CARE & Generative AI Journal Publication
  14. ๐Ÿ“ Generative AI Journal Publication Process
  15. ๐Ÿ’ต Low Cost Generative AI Publication
  16. ๐Ÿ–ฅ๏ธ Advanced Editorial Management System
  17. ๐Ÿš€ Submit Your Generative AI Research

๐Ÿค– Generative AI Journal Publication

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 dedicated to advancing research across Science, Engineering, and Technology.

IJSREAT was established by academicians, educationists, engineers, and industry professionals to provide a reputable platform for innovative research findings, technological developments, and fundamental advancements across diverse scientific and engineering disciplines.

Researchers interested in generative AI journal publication can submit original research papers, review articles, and technical notes covering Generative AI, Artificial Intelligence, Machine Learning, Large Language Models, Natural Language Processing, Computer Vision, Data Science, intelligent automation, and emerging areas of computer science.

๐Ÿง  Generative AI Journal Publication at IJSREAT

Generative Artificial Intelligence is transforming the development of intelligent systems capable of generating text, images, audio, video, code, and other forms of digital content. IJSREAT welcomes research exploring the algorithms, architectures, applications, evaluation methods, opportunities, and challenges of Generative AI.

A generative AI journal publication can address emerging technologies such as Large Language Models, transformer architectures, Retrieval-Augmented Generation, prompt engineering, AI agents, multimodal models, synthetic data generation, AI-assisted software development, and responsible AI.

Authors seeking low cost, fast publication, and rapid publication can use the online editorial management system for manuscript submission and tracking, subject to peer review, editorial evaluation, reviewer availability, and applicable publication requirements.

โœจ Generative AI Research Areas

๐Ÿ“ Large Language Models

  • Transformer-based language models
  • Large Language Model applications
  • Text generation and completion
  • Question answering and dialogue systems
  • Language model optimization

๐Ÿ” Retrieval-Augmented Generation

  • Retrieval-Augmented Generation (RAG)
  • Knowledge-grounded language generation
  • Semantic search and vector databases
  • Enterprise knowledge assistants
  • Context-aware AI systems

๐ŸŽฏ Prompt Engineering & Evaluation

  • Prompt engineering methodologies
  • Prompt optimization
  • Generative AI benchmarking
  • Model output evaluation
  • Hallucination detection and mitigation

๐Ÿค– AI Agents & Autonomous Systems

  • Agentic AI architectures
  • Multi-agent systems
  • Tool-using AI agents
  • Autonomous AI workflows
  • AI planning and reasoning

๐Ÿง  Artificial Intelligence & Machine Learning

IJSREAT welcomes Generative AI research connected with Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. Research may investigate model architectures, training strategies, optimization methods, efficient inference, evaluation frameworks, and real-world applications.

๐Ÿ”ฌ Explainable AI

  • Explainable AI (XAI) techniques
  • Interpretable Generative AI models
  • Transparent AI decision-making
  • Trustworthy AI systems

โš™๏ธ Machine Learning

  • Supervised and unsupervised learning
  • Reinforcement learning
  • Federated and edge machine learning
  • Anomaly detection and forecasting
  • Model compression and efficient inference

๐Ÿ“Š Data Science & Analytics

  • Big Data frameworks including Hadoop and Spark
  • Data visualization and storytelling
  • Predictive analytics
  • Generative AI for business and healthcare analytics
  • Ethics in data collection and usage

๐Ÿ–ผ๏ธ Generative AI & Computer Vision

Generative AI increasingly supports image and video generation, visual content synthesis, multimodal learning, and intelligent computer vision applications. IJSREAT welcomes research combining Generative AI with Image Processing, Computer Vision, and Deep Learning.

  • ๐ŸŽจ AI-generated image synthesis
  • ๐ŸŽฅ AI-assisted video generation
  • ๐Ÿ–ผ๏ธ Image-to-image generation
  • ๐Ÿ”Ž Vision-language models
  • ๐Ÿง  Multimodal AI architectures
  • ๐ŸŽญ Synthetic visual data generation
  • ๐ŸŽฏ Object detection and recognition
  • ๐Ÿ“ Image segmentation and classification

๐Ÿ’ฌ Generative AI & Natural Language Processing

Natural Language Processing is one of the major application areas of Generative AI. Researchers can explore language generation, conversational AI, machine translation, summarization, information extraction, sentiment analysis, and intelligent virtual assistants.

  • ๐Ÿ“ Text generation and summarization
  • ๐ŸŒ Multilingual language models
  • ๐Ÿ’ฌ Chatbots and virtual assistants
  • ๐Ÿ”Ž Information extraction
  • ๐Ÿ“š Question-answering systems
  • ๐ŸŒ NLP for low-resource languages

โ˜๏ธ Generative AI in Cloud, IoT & Edge Computing

โ˜๏ธ Cloud-Based Generative AI

  • Cloud-based Generative AI platforms
  • Serverless AI architectures
  • Hybrid cloud AI deployment
  • Containerized AI applications
  • Cloud cost and energy optimization

โšก Edge Generative AI

  • Efficient AI inference on edge devices
  • Small and optimized language models
  • Privacy-aware AI processing
  • Edge-based intelligent applications

๐Ÿ“ก IoT & Intelligent Devices

  • Natural language interfaces for IoT
  • Generative AI for smart cities
  • AI-enabled connected devices
  • Edge and Fog computing applications

๐Ÿ” Responsible Generative AI Research

Responsible Generative AI research addresses safety, privacy, fairness, transparency, security, reliability, intellectual property, and ethical deployment. IJSREAT welcomes scholarly contributions addressing these emerging challenges.

  • โš–๏ธ AI fairness and bias mitigation
  • ๐Ÿ” Privacy-preserving Generative AI
  • ๐Ÿ›ก๏ธ AI security and adversarial attacks
  • ๐Ÿ” Explainability and transparency
  • ๐Ÿšจ Hallucination detection and mitigation
  • ๐Ÿ“œ AI governance and responsible deployment
  • ยฉ๏ธ Synthetic content and intellectual property challenges

๐Ÿ’ป Generative AI & Computer Science

Generative AI is an important emerging area of computer science. IJSREAT encourages research connecting Generative AI with software engineering, databases, cybersecurity, computer networks, cloud computing, Human-Computer Interaction, robotics, IoT, and intelligent systems.

  • ๐Ÿ’ป Computer Science and Information Technology
  • ๐Ÿค– Artificial Intelligence, Machine Learning, and Data Science
  • โš™๏ธ Software Engineering and DevOps
  • ๐ŸŒ Computer Networks and distributed systems
  • ๐Ÿ›ก๏ธ Cybersecurity and secure communication
  • โ˜๏ธ Cloud Computing and edge technologies
  • ๐Ÿ“ก Internet of Things and smart systems
  • ๐Ÿค– Robotics and embedded intelligent systems

๐ŸŒ Broader IJSREAT Research Scope

The journal welcomes interdisciplinary research that bridges theory and practice across Science, Engineering, Technology, Artificial Intelligence, and computer science.

  • โšก Electrical, Electronics, and Communication Engineering
  • ๐Ÿ’ป Computer Science and Information Technology
  • โš™๏ธ Mechanical and Civil Engineering
  • ๐Ÿงช Chemical and Environmental Engineering
  • ๐Ÿงฌ Biomedical and Biotechnology Engineering
  • ๐Ÿค– Artificial Intelligence, Machine Learning, and Data Science
  • ๐ŸŒ Robotics, Automation, and Internet of Things
  • ๐ŸŒฑ Renewable Energy Systems and Sustainable Technologies
  • ๐Ÿ”ฌ Materials Science and Nanotechnology
  • ๐Ÿ“ Applied Physics, Chemistry, and Mathematics

โญ Why Choose IJSREAT for Generative AI Publication?

๐Ÿ”ฌ Rapid Peer Review: The stated peer review workflow targets decisions within 3 days, subject to editorial assessment and reviewer availability.

๐ŸŒ Open Access Policy: Immediate open access is intended to make published research accessible to researchers, policymakers, industry professionals, and global academic communities.

โšก Fast Publication: The streamlined editorial workflow is designed to support timely processing of Generative AI manuscripts.

๐Ÿš€ Rapid Publication: Authors seeking rapid publication can use the online editorial management system for manuscript submission, tracking, and document management.

๐Ÿ’ฐ Low Cost: IJSREAT provides stated article processing charges after acceptance, offering a low cost publication option for eligible research.

๐Ÿ›ก๏ธ Plagiarism Protection: Rigorous screening procedures support academic integrity while automated systems assist with administrative processes.

๐Ÿ“š COPE Compliance: IJSREAT states that it follows COPE Best Practice Guidelines for publication ethics.

๐ŸŒ Impact Beyond Academia: The journal encourages research that contributes to technological development, academic excellence, industry, policy, and society.

๐Ÿ”Ž Google Scholar & Generative AI Publication

Researchers evaluating generative AI journal publication opportunities can consider peer review, editorial standards, research scope, publication fees, open-access availability, DOI options, and scholarly discoverability.

Google Scholar is included in the supplied indexing and abstracting information for IJSREAT. Authors should independently verify current database coverage when indexing or institutional recognition is an important requirement.

The supplied indexing and abstracting information includes Google Scholar, Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions, and PLumX.

๐ŸŽ“ UGC CARE & Generative AI Journal Publication

Researchers searching for a UGC CARE-related journal for Generative AI research should independently verify the current applicable status and their institution's requirements before submission.

IJSREAT provides a peer-reviewed and open-access platform covering Generative AI, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science, Robotics, IoT, Cybersecurity, Cloud Computing, and broader computer science research.

๐Ÿ“ Generative AI Journal Publication Process

IJSREAT provides a structured online workflow designed to offer an author-friendly journey from manuscript submission to publication.

  1. ๐Ÿ“ค Submit Online: Submit your Generative AI manuscript 24/7 through the editorial management system.
  2. ๐Ÿ“ฉ Initial Response: Receive acknowledgment within approximately 12 hours.
  3. ๐Ÿ” Expert Review: Complete peer review is targeted within 2 days.
  4. ๐Ÿ“ข Decision Notification: Acceptance or rejection is targeted within 3 days.
  5. ๐Ÿ’ณ Publication Processing: Complete applicable requirements after acceptance.
  6. ๐Ÿ”— DOI Option: Select the applicable DOI publication option where available.
  7. ๐Ÿ“„ Publication & Certificate: Access the published PDF and digital certificate after completion.

Publication timelines are stated targets and may vary depending on manuscript quality, reviewer availability, revisions, editorial assessment, and other publication requirements.

๐Ÿ’ต Low Cost Generative AI Publication

IJSREAT follows an open-access publication model with article processing charges collected after manuscript acceptance.

๐Ÿ‡ฎ๐Ÿ‡ณ Indian Authors

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

๐ŸŒŽ Authors Other Than Indian Authors

  • With DOI: USD 80

The stated charges provide a low cost publication option for Generative AI, Artificial Intelligence, Machine Learning, Natural Language Processing, Data Science, computer science, engineering, and technology research. Authors should confirm the applicable fee before payment.

๐Ÿ–ฅ๏ธ Advanced Editorial Management System

The advanced editorial management system supports authors throughout manuscript submission, editorial processing, peer review, acceptance, documentation, and publication.

  • ๐Ÿ‘ค Author Dashboard: Personalized account with submission history and status updates.
  • ๐Ÿ“ Real-Time Tracking: Monitor your Generative AI manuscript progress through every stage.
  • ๐Ÿ“„ Automated Documents: Instant generation of acceptance letters and copyright forms.
  • โฌ‡๏ธ Easy Downloads: One-click access to certificates and published papers.

๐Ÿš€ Submit Your Generative AI Research

Researchers, scholars, academicians, students, engineers, and industry professionals working in Generative AI, Large Language Models, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Data Science, AI agents, multimodal AI, and computer science are invited to submit manuscripts for editorial consideration.

If you are looking for generative AI journal publication with low cost, fast publication, rapid publication, peer review, open access, and Google Scholar visibility, explore IJSREAT and submit your manuscript through the online editorial management system.

๐Ÿ“ง For Queries: editorinchief@ijsreat.com

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