On this page
- Artificial Intelligence and Machine Learning Journal
- 🤖 Artificial Intelligence and Machine Learning Research
- 🧠 Artificial Intelligence Scope
- 📊 Machine Learning Research Scope
- 📚 Data Science, Analytics & Intelligent Computing
- 🔐 AI, Cybersecurity & Emerging Technologies
- 💻 Computer Science & Interdisciplinary Research
- ⭐ Why Choose IJSREAT Journal?
- 🔎 Google Scholar & Research Visibility
- 🎓 UGC CARE & AI/ML Research
- 📝 Artificial Intelligence and Machine Learning Journal Publication Process
- 💵 Low Cost Article Processing Charges
- 🖥️ Advanced Editorial Management System
- 🚀 Submit Your AI & Machine Learning Research
Artificial Intelligence and Machine Learning 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 provides a scholarly platform for researchers seeking an artificial intelligence and machine learning journal for publishing original research, review articles, and technical contributions in Artificial Intelligence, Machine Learning, Data Science, and related areas of computer science.
Established by academicians, educationists, engineers, and industry professionals, IJSREAT promotes innovative research, technological development, academic excellence, and practical applications across diverse scientific and engineering disciplines.
🤖 Artificial Intelligence and Machine Learning Research
Artificial Intelligence and Machine Learning are transforming modern computing through intelligent automation, predictive modeling, pattern recognition, natural language processing, computer vision, and data-driven decision-making.
Researchers looking for an artificial intelligence and machine learning journal can submit high-quality original research papers, review articles, and technical notes covering emerging AI and ML methodologies, applications, algorithms, architectures, and intelligent systems.
IJSREAT supports research that connects AI and ML with engineering, technology, healthcare, business, cybersecurity, robotics, IoT, cloud computing, and computer science. The open-access model supports broad accessibility, while the streamlined workflow is designed for fast publication and rapid publication, subject to editorial review, peer review, revisions, and publication requirements.
🧠 Artificial Intelligence Scope
🤖 Explainable Artificial Intelligence
- Explainable AI (XAI) techniques
- Interpretable and trustworthy AI models
- AI decision-making and model transparency
- Responsible and ethical artificial intelligence
🗣️ Natural Language Processing
- NLP models including ChatGPT and DeepSeek
- Sentiment analysis and text summarization
- Language translation models
- Chatbots and virtual assistants
- NLP for low-resource languages
🚗 AI in Autonomous Systems
- AI applications in autonomous vehicles
- Intelligent robotics
- Autonomous navigation systems
- AI-based control and decision systems
🏥 AI in Medicine and Diagnostics
- AI-assisted medical diagnosis
- Medical image analysis
- Predictive healthcare analytics
- Intelligent clinical decision-support systems
📊 Machine Learning Research Scope
🔵 Supervised & Unsupervised Learning
- Supervised learning algorithms
- Unsupervised learning and clustering
- Feature engineering and selection
- Model optimization and evaluation
🎮 Reinforcement Learning
- Reinforcement learning in gaming
- Robotics and autonomous decision-making
- Reward-based optimization
- Intelligent control systems
🌐 Federated & Edge Machine Learning
- Federated learning architectures
- Privacy-aware distributed machine learning
- Edge AI and resource-efficient ML
- Distributed model training and inference
📈 ML for Forecasting & Anomaly Detection
- Machine learning-based anomaly detection
- Predictive modeling
- Time-series forecasting
- Risk prediction and intelligent monitoring
📚 Data Science, Analytics & Intelligent Computing
- 📊 Big Data: Hadoop, Spark, distributed data processing, and large-scale analytics
- 📈 Data Visualization: Data visualization, storytelling, dashboards, and analytical reporting
- 🔮 Predictive Analytics: Predictive models for business, healthcare, engineering, and technology
- ⚖️ Data Ethics: Ethical data collection, responsible analytics, privacy, and responsible AI
The integration of AI, ML, and Data Science provides important opportunities for research in intelligent decision-making, automation, predictive analytics, and advanced computer science applications.
🔐 AI, Cybersecurity & Emerging Technologies
🛡️ Cybersecurity
- Malware detection using AI
- Blockchain for cybersecurity
- Network Intrusion Detection Systems (NIDS)
- Cryptography and secure communication
☁️ Cloud Computing
- Serverless architecture and functions
- Cloud migration and hybrid cloud
- Virtualization using VMs and containers
- Cost and energy optimization in cloud systems
🌐 Internet of Things
- Smart cities and connected devices
- IoT security and encryption protocols
- Sensor networks for agriculture and environment
- Edge and Fog computing in IoT
⛓️ Blockchain Technology
- Smart contracts and decentralized applications
- 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
🤖 Robotics & Embedded Systems
- Autonomous navigation systems
- Real-time operating systems (RTOS)
- Robot kinematics and control
- Embedded AI for intelligent systems
⚛️ Quantum Computing
- Quantum algorithms including Shor's and Grover's algorithms
- Quantum cryptography
- Challenges in building quantum systems
- Hybrid quantum-classical architectures
💻 Computer Science & Interdisciplinary Research
IJSREAT welcomes research connecting Artificial Intelligence and Machine Learning with computer science, engineering, technology, healthcare, business, robotics, IoT, cybersecurity, and other interdisciplinary domains.
- ⚡ 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
The journal encourages interdisciplinary submissions that bridge the gap between theory and practice and foster collaboration among researchers, scholars, academicians, and industry professionals.
⭐ Why Choose IJSREAT Journal?
🔬 Rapid Peer Review: IJSREAT states that its peer review process delivers decisions within 3 days, subject to editorial and reviewer workflow.
🌐 Open Access Policy: Immediate open access supports broad accessibility of published research for researchers, industry professionals, and other readers.
⚡ Fast Publication: The streamlined workflow is designed to provide efficient manuscript processing and timely communication.
🚀 Rapid Publication: Authors seeking rapid publication can submit manuscripts online and monitor their progress through the editorial management system.
💰 Low Cost: IJSREAT provides stated article processing charges after acceptance, offering a low cost publication option for AI and ML researchers.
🛡️ Plagiarism Protection: Rigorous screening supports academic integrity while automated systems assist with administrative tasks.
📚 COPE Compliance: IJSREAT states that it follows COPE Best Practice Guidelines for publication ethics.
🌍 Impact Beyond Academia: The journal prioritizes research with potential to influence thinking, shape policies, support technological development, and improve lives.
🔎 Google Scholar & Research Visibility
Google Scholar is included in the supplied indexing and abstracting information for IJSREAT. Authors searching for an artificial intelligence and machine learning journal can consider research scope, peer review, open access, publication cost, and discoverability.
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.
Authors should independently verify the current status and coverage of specific indexing databases whenever indexing is required for institutional, academic, promotion, or professional purposes.
🎓 UGC CARE & AI/ML Research
Researchers searching for a UGC CARE-related publication venue should independently verify the current applicable UGC CARE status and their institution's requirements before submitting an article.
IJSREAT provides a peer-reviewed, open-access platform for Artificial Intelligence, Machine Learning, Data Science, Big Data, Analytics, NLP, Computer Vision, cybersecurity, robotics, and computer science research.
📝 Artificial Intelligence and Machine Learning Journal Publication Process
IJSREAT provides a structured publication workflow designed to make manuscript submission and editorial tracking straightforward for AI and Machine Learning researchers.
- 📤 Submit Online: Submit your manuscript 24/7 through the editorial management system.
- 📩 Initial Response: Receive acknowledgment within approximately 12 hours.
- 🔍 Expert Review: Complete peer review is targeted within 2 days.
- 📢 Decision Notification: Acceptance or rejection is targeted within 3 days.
- 💳 Payment: Complete the applicable article processing fee after acceptance.
- 🔗 DOI Option: Select the applicable DOI publication option where available.
- 📄 Publication & Certificate: Access the published PDF and digital certificate after completion of the publication process.
Publication timelines are stated targets and may vary depending on manuscript quality, reviewer availability, revisions, editorial assessment, DOI processing, and other publication requirements.
💵 Low Cost Article Processing Charges
IJSREAT follows an open-access publication model. A minimal fee is collected from authors after manuscript acceptance to support online publication and the continuing appearance of the journal.
🇮🇳 Indian Authors
- Without DOI: INR 1200 + 18% GST
- With DOI: INR 1400 + 18% GST
🌎 Authors Other Than Indian Authors
- With DOI: USD 80
These stated charges provide a low cost publication route for Artificial Intelligence, Machine Learning, Data Science, engineering, technology, and computer science research.
🖥️ Advanced Editorial Management System
The advanced editorial management system supports authors throughout manuscript submission, editorial review, acceptance, documentation, and publication.
- 👤 Author Dashboard: Personalized account with submission history and status updates.
- 📍 Real-Time Tracking: Monitor your paper'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.
🚀 Submit Your AI & Machine Learning Research
Researchers, scholars, academicians, students, engineers, and industry professionals working in Artificial Intelligence, Machine Learning, Data Science, Big Data, NLP, Computer Vision, predictive analytics, robotics, IoT, cybersecurity, cloud computing, and computer science are invited to submit manuscripts for editorial consideration.
If you are searching for an artificial intelligence and machine learning journal offering 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