The 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 research across Science, Engineering and Technology. Researchers looking for an artificial intelligence and machine learning journal can explore its stated scope covering Artificial Intelligence, Machine Learning, Data Science and Computer Science.

IJSREAT was established by academicians, educationists, engineers and industry professionals with the objective of providing a platform for innovative ideas and research findings. The journal focuses on original research contributions, technological innovations and fundamental advancements across diverse engineering and scientific disciplines.

Artificial Intelligence and Machine Learning Journal

Artificial Intelligence and Machine Learning are major areas of modern research involving intelligent systems, predictive models, automation, data-driven decision-making and computational learning. IJSREAT explicitly includes Artificial Intelligence, Machine Learning and Data Science within its scope, alongside Computer Science and Information Technology.

🤖 Artificial Intelligence Research Areas

The IJSREAT scope includes several Artificial Intelligence topics suitable for researchers developing intelligent systems and interdisciplinary AI applications.

• Explainable AI (XAI): Techniques for explainable intelligent systems.
• Natural Language Processing: NLP models, including examples such as ChatGPT and DeepSeek.
• Autonomous Vehicles and Robotics: AI applications for autonomous systems.
• Medicine and Diagnostics: AI applications in healthcare and medical diagnosis.

🧠 Machine Learning Journal Research Topics

Machine Learning is another core area in the stated journal scope. Researchers can explore learning methods, intelligent prediction, anomaly detection and computational models across different applications.

• Supervised vs Unsupervised Learning
• Reinforcement Learning in gaming and robotics
• Federated and Edge Machine Learning
• Machine Learning for Anomaly Detection
• Machine Learning for Forecasting

📊 AI, Data Science and Big Data

Artificial Intelligence and Machine Learning frequently intersect with Data Science and Big Data research. IJSREAT includes Data Science & Analytics within its stated scope, covering Big Data frameworks, visualization, predictive analytics and data ethics.

• Big Data Frameworks: Hadoop and Spark.
• Data Visualization: Visualization and storytelling.
• Predictive Analytics: Applications in business and healthcare.
• Data Ethics: Ethical considerations in data collection and usage.

This combination allows researchers to connect machine learning models with data analytics, predictive systems, large-scale datasets and responsible data practices.

💻 Artificial Intelligence and Computer Science

IJSREAT explicitly lists Computer Science and Information Technology among its principal areas. AI and Machine Learning research can therefore connect with multiple computer science technologies included in the journal's scope.

• Cybersecurity: AI malware detection, blockchain security, NIDS and cryptography.
• Cloud Computing: Serverless architecture, cloud migration, hybrid cloud and virtualization.
• Internet of Things: Smart cities, connected devices, IoT security and Edge/Fog computing.
• Software Engineering: Agile, DevOps, software quality assurance and testing.
• Blockchain Technology: Smart contracts, decentralized applications, financial services, voting and security.
• Computer Networks: 5G/6G, SDN, network security and Internet performance.
• Image Processing and Computer Vision: Segmentation, classification, object detection and medical image analysis.
• Human-Computer Interaction: Usability, gesture and speech interfaces, eye tracking, AR/VR and accessibility.
• Robotics and Embedded Systems: Autonomous navigation, RTOS, robot kinematics, control and embedded AI.
• Natural Language Processing: Sentiment analysis, summarization, translation and virtual assistants.
• Quantum Computing: Quantum algorithms, quantum cryptography and hybrid quantum-classical architectures.

🔬 AI and Machine Learning Journal Publication

IJSREAT welcomes high-quality original research papers, review articles and technical notes that contribute to Science, Engineering and Technology. An artificial intelligence and machine learning journal submission can address areas such as AI methods, machine learning models, data science, Big Data, NLP, robotics, computer vision or related computer science applications.

Authors should ensure that their manuscripts are original, clearly structured and relevant to the journal's stated scope before submission.

⚡ Fast Publication and Rapid Peer Review

The supplied IJSREAT information states that its strict peer-review process delivers decisions within 3 days. The detailed publication workflow states an initial acknowledgment within 12 hours, expert review within 2 days and decision notification within 3 days.

These are the timelines stated in the supplied source. Actual processing may depend on editorial assessment, reviewer availability and manuscript requirements, so the stated timeline should not be treated as a guarantee of acceptance or publication.

🚀 Artificial Intelligence Journal Publication Process

1. Submit Online: 24/7 submission through the editorial management system.
2. Initial Response: Acknowledgment is stated within 12 hours.
3. Expert Review: Peer review is stated to be completed within 2 days.
4. Decision Notification: Acceptance or rejection is stated within 3 days.
5. Publication & Certificate: Instant PDF access and digital certificate are stated after publication.

💰 Low Cost Machine Learning Journal Publication

IJSREAT describes its publication model as open access and states that a minimal fee is payable after manuscript acceptance. The supplied Article Processing Charges for Case Reports, Original Articles and Review Articles are listed below.

Researchers seeking a low cost artificial intelligence and machine learning journal should confirm the current APC, DOI conditions, applicable taxes and payment requirements before submission.

🌐 Google Scholar and Indexing Information

The supplied IJSREAT information lists Google Scholar among its indexing and abstracting services. Other listed services include Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions and PlumX.

Authors should independently verify the current status of indexing and abstracting services before relying on any listing for institutional, academic, promotion, funding or other formal requirements.

🎓 UGC CARE and Machine Learning Journal Verification

Researchers searching for an artificial intelligence and machine learning journal may also use terms such as UGC CARE, Google Scholar, fast publication, rapid publication, low cost and computer science when evaluating publication options.

These criteria should be evaluated separately. An indexing or search-service listing does not by itself establish UGC CARE recognition. Authors should verify current recognition requirements with the relevant academic authority and their institution before submitting research for a specific academic purpose.

📋 Advanced Editorial Management System

The supplied journal information describes an editorial management system that provides authors with tools for submission tracking and publication-document access.

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

🔗 Interdisciplinary Artificial Intelligence Research

The wider journal scope includes Electrical, Electronics and Communication Engineering; Mechanical and Civil Engineering; Chemical and Environmental Engineering; Biomedical and Biotechnology Engineering; Robotics, Automation and IoT; Renewable Energy Systems; Materials Science and Nanotechnology; and Applied Physics, Chemistry and Mathematics.

This multidisciplinary structure supports research connecting Artificial Intelligence and Machine Learning with healthcare, cybersecurity, cloud computing, IoT, robotics, computer vision, networks and other areas of computer science and engineering.

📝 Preparing an AI and Machine Learning Manuscript

An AI or Machine Learning manuscript can clearly present its research problem, objectives, data sources, methodology, model architecture or analytical approach, experiments, results, discussion and conclusions. Authors should demonstrate how the research contributes to the selected topic.

Relevant topics from the supplied scope include Explainable AI, NLP models, autonomous systems, healthcare AI, supervised and unsupervised learning, reinforcement learning, Federated and Edge Machine Learning, anomaly detection and forecasting.

⭐ Why Choose the IJSREAT AI and ML Scope?

• International and Multidisciplinary: Research coverage spans Science, Engineering and Technology.
• Peer Review: The supplied information describes a strict peer-review process.
• Open Access: Immediate open access is stated as part of the journal model.
• Fast Publication: The supplied workflow provides defined response and decision timelines.
• Plagiarism Protection: Rigorous screening is stated as part of the process.
• COPE Compliance: The source states adherence to COPE Best Practice Guidelines.
• Editorial Tracking: Authors can monitor manuscript progress through the editorial system.

🚀 Submit Artificial Intelligence and Machine Learning Research

Researchers whose manuscripts fit the stated scope can review the peer-review process, open-access model, APC information, indexing information and institutional requirements before submission. For queries, the supplied information lists editorinchief@ijsreat.com.

Submission Portal: Submit Manuscript to IJSREAT

The artificial intelligence and machine learning journal scope at IJSREAT brings together AI, Machine Learning, Data Science, Big Data and related computer science research areas, providing a multidisciplinary framework for researchers working on emerging technologies.