Machine Learning Journal DOI for Research Papers | IJIRE
Category: Blog
Date: 2026-09-24
🧠 Machine Learning Journal DOI - IJIRE
The International Journal of Innovative Research in Engineering (IJIRE), with e-ISSN 2582-8746, is a bi-monthly, peer-reviewed, open-access international journal publishing research across Science, Engineering, and Technology. Researchers working on machine learning and related areas of computer science can use IJIRE as an online platform for sharing original research.
IJIRE provides a multidisciplinary publishing platform for academicians, educationists, engineers, industry professionals, scholars, and students. Researchers looking for a machine learning journal DOI can explore topics including supervised learning, unsupervised learning, reinforcement learning, federated learning, edge machine learning, anomaly detection, and predictive forecasting.
A DOI can provide a persistent identifier for a published research article, making it useful for scholarly referencing and publication records. Authors specifically seeking a machine learning journal DOI should confirm the DOI arrangement and current publication terms with the journal before payment.
📚 Scope of the Journal
The journal provides an academic medium for advancing and disseminating research results that support high-level learning, teaching, and research in engineering and technology. Its multidisciplinary scope brings together scientists, academicians, engineers, scholars, and students from related fields.
IJIRE follows an open-access approach, allowing published articles to be freely viewed online. The scope includes computer science and information technology as well as artificial intelligence, machine learning, data science, cybersecurity, cloud computing, IoT, robotics, and other technology disciplines.
🧠 Machine Learning Research Areas
Machine learning is an important branch of artificial intelligence that enables computer systems to learn patterns from data and support prediction, classification, decision-making, and automation. IJIRE's stated scope includes several areas suitable for machine learning research.
📘 Supervised Learning
- Classification techniques
- Regression models
- Training and evaluation methods
- Predictive machine learning applications
🔍 Unsupervised Learning
- Clustering methods
- Pattern discovery
- Dimensionality reduction
- Data-driven representation learning
🎮 Reinforcement Learning
- Learning through interaction
- Reinforcement learning in gaming
- Robotics applications
- Intelligent decision-making systems
📱 Federated & Edge ML
- Federated machine learning
- Edge-based learning systems
- Distributed model training
- Privacy-aware machine learning
🚨 Anomaly Detection
- Abnormal pattern identification
- Machine learning for security
- Fraud and fault detection
- Intelligent monitoring systems
📈 Forecasting & Prediction
- Predictive modeling
- Time-series forecasting
- Business analytics
- Healthcare prediction systems
🔬 Related AI & Computer Science Topics
Machine learning research often connects with other areas of artificial intelligence and computer science. IJIRE's broader scope includes the following related subjects:
- 🤖 Artificial Intelligence: Explainable AI, NLP models, autonomous vehicles, robotics, and medical diagnostics.
- 📊 Data Science & Analytics: Hadoop, Spark, data visualization, predictive analytics, and data ethics.
- 🔐 Cybersecurity: AI-based malware detection, NIDS, blockchain security, cryptography, and secure communication.
- ☁️ Cloud Computing: Serverless systems, cloud migration, hybrid cloud, virtualization, and optimization.
- 📡 Internet of Things: Smart cities, connected devices, sensor networks, security, and edge computing.
- 🛠️ Software Engineering: Agile, DevOps, software testing, requirements engineering, and Model-Driven Development.
- 👁️ Computer Vision: Image classification, segmentation, object detection, biometrics, and medical imaging.
- 🧑💻 Human-Computer Interaction: Usability, speech and gesture interfaces, accessibility, and AR/VR.
- ⚛️ Quantum Computing: Quantum algorithms, quantum cryptography, and hybrid quantum-classical architectures.
🎯 Why Choose IJIRE Journal?
IJIRE aims to promote innovative research, technological development, and academic excellence by giving researchers and professionals a platform to share their findings. The journal encourages interdisciplinary research that connects theory with practical applications.
⚡ Rapid Peer Review
The journal states that its peer review process delivers decisions within 3 days while maintaining its stated quality standards.
🌍 Open Access Policy
Immediate open access allows published research to be freely available online.
🚀 Efficient Process
The streamlined workflow supports submission, review communication, publication, and document access.
🛡️ Plagiarism Protection
The supplied journal information describes rigorous screening intended to support academic integrity.
📜 COPE Compliance
IJIRE states that it follows COPE's Best Practice Guidelines for publication ethics.
🌎 Impact Beyond Academia
The journal encourages research that can contribute to technology, professional practice, policy, and society.
🔎 Machine Learning Journal DOI & Google Scholar
An machine learning journal DOI can provide a persistent identifier for a published machine learning article. It can be useful when researchers cite their work, share article information, or maintain academic publication records.
IJIRE lists Google Scholar among its indexing and abstracting services. DOI assignment and Google Scholar discoverability are separate concepts, so authors should verify the status of their specific article and DOI information after publication.
Researchers who need UGC CARE recognition should independently verify the current UGC requirements and their institution's accepted-journal criteria. Google Scholar visibility should not be considered equivalent to UGC CARE status.
📚 Indexing & Abstracting
The supplied IJIRE information lists the following indexing and abstracting services:
📝 Fast & Rapid Publication Process
IJIRE describes an author-friendly publication workflow from manuscript submission through peer review and publication. Researchers interested in fast publication or rapid publication can review the stated timelines below and confirm current processing times with the journal.
| Publication Stage | Stated Timeline |
|---|---|
| 📤 Submit Online | 24/7 submission through the editorial management system |
| 📩 Initial Response | Within 12 hours |
| 🔍 Expert Review | 2–7 days |
| 📬 Decision Notification | 3–7 days |
| 📜 Publication & Certificate | Instant PDF access and digital certificate |
💰 Low Cost Machine Learning Journal Publication
IJIRE provides a stated low cost open-access publication fee after manuscript acceptance. Authors interested in a machine learning journal DOI can review the available options and confirm the latest charges and DOI availability directly with the journal.
| Author Category | DOI Option | Stated Fee |
|---|---|---|
| Foreign Authors | With DOI | $80 USD |
| Indian Authors | Without DOI | ₹1200 + 18% GST |
| Indian Authors | With DOI | ₹1400 + 18% GST |
📌 Important: Publication fees, taxes, and DOI options may change. Please confirm the current fee and DOI availability with IJIRE before making any payment.
🖥️ Advanced Editorial Management System
Personalized access to submission history and status updates.
Track manuscript progress through each stage of publication.
Instant generation of acceptance letters and copyright forms.
Convenient access to certificates and published research papers.
🚀 Submit Your Machine Learning Research Paper
Researchers preparing machine learning papers can submit studies covering supervised and unsupervised learning, reinforcement learning, federated learning, edge ML, anomaly detection, forecasting, AI applications, data science, cybersecurity, and other computer science topics.
If your publication requirement includes a machine learning journal DOI, review the journal's current DOI option before submission. Authors should also independently verify indexing information and any institutional requirements relevant to their research publication.
📨 Ready to Publish Your ML Research?
Submit your machine learning research paper through the IJIRE editorial management system.
Submit Your PaperFor queries: [email protected]
