Generative AI Research Journal | Fast, Low Cost | IJSREAT

🤖 Generative AI Research Journal

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 ideas, research findings, technological developments, and fundamental advancements across diverse scientific and engineering disciplines.

Researchers seeking a generative AI research journal can submit original studies, review articles, and technical contributions covering Generative AI, Large Language Models, Natural Language Processing, Machine Learning, Computer Vision, multimodal AI, intelligent automation, and other emerging areas of computer science.

🧠 Generative AI Research at IJSREAT

Generative Artificial Intelligence is transforming how intelligent systems create and process text, images, audio, video, code, and other forms of digital content. IJSREAT welcomes research addressing the theoretical foundations, architectures, algorithms, evaluation methods, applications, limitations, and responsible deployment of Generative AI.

A generative AI research journal provides an important scholarly platform for researchers investigating foundation models, transformer architectures, language generation, synthetic data, AI agents, multimodal systems, prompt engineering, retrieval-augmented generation, and AI-assisted applications.

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

✨ Generative AI Research Scope

📝 Generative Language Models

• Large Language Models (LLMs)
• Transformer-based language generation
• Text generation and completion
• Question answering and conversational AI
• Text summarization and generation

🔍 Retrieval-Augmented Generation

• Retrieval-Augmented Generation (RAG)
• Knowledge-grounded language generation
• Vector databases and semantic retrieval
• Enterprise knowledge assistants
• Grounded AI response generation

🎯 Prompt Engineering & AI Evaluation

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

🧩 AI Agents & Intelligent Systems

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

🧠 Artificial Intelligence & Machine Learning

IJSREAT welcomes Generative AI research connected with Artificial Intelligence and Machine Learning. Contributions may investigate model architectures, learning strategies, optimization techniques, training methodologies, inference efficiency, and real-world AI applications.

🔬 Explainable AI

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

⚙️ Machine Learning

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

📊 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

🖼️ Generative AI & Computer Vision

Generative AI extends beyond text generation into image, video, and visual content creation. IJSREAT welcomes research combining Generative AI with Computer Vision, Image Processing, Deep Learning, and multimodal intelligence.

• 🎨 AI-generated image synthesis
• 🎥 AI-assisted video generation
• 🖼️ Image-to-image generation
• 🔍 Computer vision and multimodal models
• 🧠 Vision-language models
• 🎭 Synthetic data generation
• 📐 Image segmentation and classification
• 🎯 Object detection and recognition

💬 Generative AI & Natural Language Processing

Natural Language Processing is a major application area of Generative AI. IJSREAT encourages research involving language generation, conversational systems, multilingual AI, language translation, summarization, information extraction, and intelligent virtual assistants.

• 📝 Text generation and summarization
• 🌍 Language translation models
• 💬 Chatbots and virtual assistants
• 🔎 Information extraction
• 📚 Question-answering systems
• 🌐 NLP for low-resource languages

☁️ Generative AI, Cloud & Edge Computing

☁️ Cloud AI

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

⚡ Edge AI

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

🔐 Responsible & Trustworthy Generative AI

Responsible Generative AI is an important research direction covering safety, privacy, fairness, transparency, security, intellectual property, reliability, and ethical deployment. IJSREAT welcomes research addressing the challenges associated with trustworthy and responsible AI.

• ⚖️ AI fairness and bias mitigation
• 🔐 Privacy-preserving Generative AI
• 🛡️ AI security and adversarial attacks
• 🔍 Explainability and transparency
• 🚨 Hallucination detection
• 📜 AI governance and responsible deployment
• ©️ Copyright and synthetic content challenges

💻 Generative AI & Computer Science

Generative AI is rapidly becoming a major research area within computer science. IJSREAT encourages interdisciplinary contributions connecting Generative AI with software engineering, databases, networks, cybersecurity, cloud computing, Human-Computer Interaction, robotics, and intelligent systems.

• 💻 Computer Science and Information Technology
• 🤖 Artificial Intelligence, Machine Learning, and Data Science
• ⚙️ Software Engineering and DevOps
• 🌐 Computer Networks and distributed systems
• 🛡️ Cybersecurity and secure communication
• ☁️ Cloud Computing and edge technologies
• 📡 Internet of Things and smart systems
• 🤖 Robotics and embedded intelligent systems

🌐 Broader Journal Scope

The scope of IJSREAT extends across multiple engineering and scientific disciplines, supporting interdisciplinary research that bridges theory and practical applications.

• ⚡ 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
• 🌱 Renewable Energy Systems and Sustainable Technologies
• 🔬 Materials Science and Nanotechnology
• 📐 Applied Physics, Chemistry, and Mathematics

⭐ Why Choose IJSREAT Journal?

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

🌐 Open Access Policy: Immediate open access is intended to make published research accessible to policymakers, industry leaders, researchers, and academic communities.

⚡ Fast Publication: The streamlined workflow is designed to support timely processing of Generative AI manuscripts from submission through publication.

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

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

🛡️ Plagiarism Protection: Rigorous screening procedures support academic integrity while automated systems assist with administrative processes.

📚 COPE Compliance: IJSREAT states that it follows COPE Best Practice Guidelines for publication ethics.

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

🔎 Google Scholar & Generative AI Research

Researchers evaluating a generative AI research journal 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.

🎓 UGC CARE & Generative AI 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.

📝 Generative AI Research Publication Process

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

1. 📤 Submit Online: Submit your Generative AI manuscript 24/7 through the editorial management system.
2. 📩 Initial Response: Receive acknowledgment within approximately 12 hours.
3. 🔍 Expert Review: Complete peer review is targeted within 2 days.
4. 📢 Decision Notification: Acceptance or rejection is targeted within 3 days.
5. 💳 Publication Processing: Complete applicable requirements after acceptance.
6. 🔗 DOI Option: Select the applicable DOI publication option where available.
7. 📄 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.

💵 Low Cost Generative AI Publication

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

🇮🇳 Indian Authors

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

🌎 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.

🖥️ Advanced Editorial Management System

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

• 👤 Author Dashboard: Personalized account with submission history and status updates.
• 📍 Real-Time Tracking: Monitor your Generative AI manuscript progress through every stage.
• 📄 Automated Documents: Instant generation of acceptance letters and copyright forms.
• ⬇️ Easy Downloads: One-click access to certificates and published papers.

🚀 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 searching for a generative AI research journal 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.

📧 For Queries: editorinchief@ijsreat.com