🧠 Machine Learning Journal DOI | IJSREAT
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 seeking a machine learning journal DOI publication platform can explore research opportunities in machine learning, artificial intelligence, data science, computer science and other emerging technologies.
IJSREAT was established by academicians, educationists, engineers and industry professionals to provide a scholarly platform for innovative ideas, original research findings, technological innovations and fundamental advancements across diverse scientific and engineering disciplines.
As an open-access peer-reviewed journal, IJSREAT aims to connect academic research with practical applications and encourage the dissemination of quality research. Authors working in computer science, machine learning and related technology areas can submit original research papers, review articles and technical notes.
📚 Machine Learning Journal DOI Scope
IJSREAT welcomes high-quality research contributions that advance knowledge in Science, Engineering and Technology. Its multidisciplinary scope includes machine learning, artificial intelligence, data science, computer science, information technology, cybersecurity, cloud computing and other emerging fields.
- ⚡ Electrical, Electronics & Communication Engineering
- 💻 Computer Science & Information Technology
- ⚙️ Mechanical & Civil Engineering
- 🧪 Chemical & Environmental Engineering
- 🧬 Biomedical & Biotechnology Engineering
- 🤖 Artificial Intelligence, Machine Learning & Data Science
- 🌐 Robotics, Automation & Internet of Things (IoT)
- 🌱 Renewable Energy & Sustainable Technologies
- 🔬 Materials Science & Nanotechnology
- 📐 Applied Physics, Chemistry & Mathematics
🧠 Machine Learning Research Areas
🧠 Machine Learning & Deep Learning
The journal scope includes contemporary machine learning methodologies and applications across research and industry. Topics may include:
- Supervised and unsupervised learning
- Reinforcement learning in gaming and robotics
- Federated and edge machine learning
- Machine learning for anomaly detection and forecasting
- Deep learning architectures and intelligent prediction systems
🤖 Artificial Intelligence & Intelligent Systems
- Explainable AI (XAI) techniques
- Natural Language Processing (NLP) models
- AI in autonomous vehicles and robotics
- AI applications in medicine and diagnostics
📊 Data Science & Analytics
- Big Data frameworks including Hadoop and Spark
- Data visualization and storytelling
- Predictive analytics in business and healthcare
- Ethics in data collection and usage
🛡️ Machine Learning for Cybersecurity
- Malware detection using machine learning and AI
- Network intrusion detection systems (NIDS)
- Blockchain applications for cybersecurity
- Cryptography and secure communication
☁️ Machine Learning in Cloud Computing
- Serverless architecture and functions
- Cloud migration and hybrid cloud
- Virtualization techniques including VMs and containers
- Machine learning deployment in cloud environments
- Cost and energy optimization in cloud systems
🌐 Machine Learning & 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
🧑💻 Machine Learning in Software Engineering
- Agile and DevOps practices
- Software quality assurance and testing
- Requirements engineering and prototyping
- Model-Driven Development (MDD)
👁️ Machine Learning for Computer Vision
- Image segmentation and classification
- Object detection in video surveillance
- Face recognition and biometrics
- Medical image analysis using CNNs
💬 Natural Language Processing
- Sentiment analysis and text summarization
- Language translation models
- Chatbots and virtual assistants
- NLP for low-resource languages
🤖 Robotics & Embedded Systems
- Autonomous navigation systems
- Real-time operating systems (RTOS)
- Robot kinematics and control
- Embedded AI for intelligent systems
⚛️ Quantum Computing & Emerging Technologies
- Quantum algorithms such as Shor's and Grover's algorithms
- Quantum cryptography
- Challenges in building quantum computing systems
- Hybrid quantum-classical architectures
🔗 Machine Learning Journal DOI Publication
A Digital Object Identifier (DOI) provides a persistent identifier for a scholarly publication. Authors considering a machine learning journal DOI option can use the DOI as a stable reference for published research, subject to the journal's DOI assignment process and applicable publication requirements.
According to the supplied IJSREAT information, authors can select a publication option that includes DOI assignment. Researchers should confirm the latest DOI policy, eligibility requirements and DOI-related charges directly with the journal before submission.
DOI availability should be evaluated separately from journal indexing, accreditation and institutional recognition. Authors should verify the requirements of their university, employer or research program before choosing a publication venue.
⚡ Fast Publication for Machine Learning Research
Researchers searching for fast publication can refer to the publication workflow supplied by IJSREAT. The stated process includes online submission, initial acknowledgment, expert review, editorial decision, publication and certificate access.
According to the supplied information, IJSREAT states an initial response within 12 hours, expert review within 2 days and an acceptance or rejection decision within 3 days. Actual processing times can vary depending on manuscript quality, reviewer availability, editorial requirements and other circumstances.
Authors interested in rapid publication should confirm the latest editorial timelines, review requirements and publication conditions directly with IJSREAT before submitting a machine learning research paper.
🌟 Why Choose IJSREAT for Machine Learning Research?
🚀 Rapid Peer Review
IJSREAT states that its peer-review process is designed to provide decisions within 3 days while maintaining its stated quality standards.
🌍 Open Access Policy
Open-access publication makes published machine learning research freely available online to researchers, academics, industry professionals and other interested readers.
⚙️ Efficient Publication Process
The supplied information describes a streamlined workflow covering manuscript submission, peer review, editorial decisions, publication access and digital documentation.
🛡️ Plagiarism Protection
Manuscripts are subject to originality and plagiarism screening as part of the journal's stated academic integrity process.
📚 COPE-Based Publication Ethics
IJSREAT states that it follows publication ethics based on COPE's Best Practice Guidelines. Authors should review the latest journal policies and ethical requirements before submission.
🌐 Impact Beyond Academia
IJSREAT aims to promote innovative research, technological development and academic excellence by providing a platform for researchers, scholars, academicians and industry professionals to share their machine learning research and findings.
📑 Google Scholar Indexing & Abstracting
The supplied IJSREAT information lists Google Scholar, Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Ex Libris, Thomson Reuters Research ID, Semantic Scholar, Dimensions and PlumX among its indexing, abstracting or research-discovery services.
Indexing and abstracting coverage can change over time, so authors should verify current coverage through the relevant official database or service. If UGC CARE recognition is required by a university or institution, that status should be verified separately through the relevant official source rather than inferred from Google Scholar visibility.
📝 Machine Learning Journal Publication Process
IJSREAT describes a transparent, author-friendly publication workflow from manuscript submission through publication.
- 📤 Submit Online: 24/7 manuscript submission through the editorial management system.
- 📨 Initial Response: The supplied information states acknowledgment within 12 hours.
- 🔍 Expert Review: The stated workflow describes expert peer review within 2 days.
- 📩 Decision Notification: The supplied information states acceptance or rejection within 3 days.
- 📄 Publication & Certificate: Instant PDF access and digital certificate are included in the stated workflow.
💰 Low Cost Machine Learning Journal DOI
IJSREAT describes its open-access publication model as requiring a minimal article processing fee after manuscript acceptance. The supplied charges for case reports, original articles and review articles are listed below.
- 🇮🇳 Indian Authors – Without DOI: 1200 INR + 18% GST
- 🇮🇳 Indian Authors – With DOI: 1400 INR + 18% GST
- 🌎 Other than Indian Authors – With DOI: $80 USD
Researchers comparing low cost publication options for machine learning research should confirm the latest article processing charges, DOI terms, applicable taxes and publication conditions directly with IJSREAT before submission or payment.
📊 Advanced Editorial Management System
- 👤 Author Dashboard: Personalized account with submission history and status updates.
- 🔄 Real-Time Tracking: Monitor your machine learning paper's progress through every publication stage.
- 📄 Automated Documents: Instant generation of acceptance letters and copyright forms.
- ⬇️ Easy Downloads: One-click access to certificates and published papers.
🎓 DOI, Google Scholar & UGC CARE Considerations
When evaluating a machine learning journal DOI publication option, authors should separately consider DOI availability, peer-review procedures, publication fees, editorial policies, indexing services and institutional requirements.
A DOI does not by itself establish journal indexing or accreditation. Likewise, Google Scholar discoverability does not by itself establish UGC CARE status. Researchers should verify current requirements through relevant official sources before making publication decisions.
🚀 Ready to Publish Your Machine Learning Research?
Researchers working in machine learning, artificial intelligence, data science, cybersecurity, cloud computing, IoT, software engineering, computer networks, computer vision, NLP, robotics and related computer science areas can submit their manuscripts through the IJSREAT editorial management system.
Before submission, review the latest manuscript guidelines, peer-review requirements, DOI conditions, publication charges, processing timelines and indexing information relevant to your research and institutional requirements.
📤 Submit Your Machine Learning Research
📧 Editorial Queries: editorinchief@ijsreat.com
🌐 Journal: International Journal of Scientific Research in Engineering & Technology (IJSREAT)
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