AI ML Journal Google Scholar Indexed | IJIRE Research Journal
AI ML Journal Google Scholar Indexed β IJIRE
The International Journal of Innovative Research in Engineering (IJIRE) (e-ISSN: 2582-8746) is a bi-monthly, peer-reviewed, open-access international journal publishing research across Science, Engineering, Technology, Artificial Intelligence, Machine Learning, Data Science, and Computer Science.
IJIRE provides a multidisciplinary platform for academicians, researchers, engineers, scientists, scholars, students, educationists, and industry professionals to communicate innovative ideas and research findings. Researchers searching for an AI ML journal Google Scholar indexed can explore IJIRE for research covering artificial intelligence, machine learning, intelligent systems, data analytics, and related engineering technologies.
π€ AI ML Journal Google Scholar Indexed β Scope of Research
The scope of IJIRE provides an academic medium for advancing and disseminating research results in engineering and technology. The journal brings together researchers working in artificial intelligence, machine learning, data science, computer science, cybersecurity, cloud computing, IoT, robotics, and emerging technologies.
IJIRE follows an open-access, peer-reviewed multidisciplinary publishing model. Published open-access articles can be accessed online, supporting the dissemination of research to the wider academic and professional community.
π§ Artificial Intelligence (AI)
- Explainable AI (XAI) techniques
- Natural Language Processing (NLP) and generative AI models
- AI applications in autonomous vehicles and robotics
- AI applications in medicine and diagnostics
βοΈ Machine Learning (ML)
- Supervised and unsupervised learning
- Reinforcement learning in gaming and robotics
- Federated and edge machine learning
- Machine learning for anomaly detection and forecasting
π 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
π‘οΈ Cybersecurity
- Malware detection using AI
- Blockchain for cybersecurity
- Network intrusion detection systems (NIDS)
- Cryptography and secure communication
βοΈ Cloud Computing
- Serverless architecture and functions
- Cloud migration and hybrid cloud
- Virtualization techniques including VMs and containers
- Cost and energy optimization in cloud systems
π Internet of Things (IoT)
- Smart cities and connected devices
- IoT security and encryption protocols
- Sensor networks for agriculture and environment
- Edge and fog computing in IoT
π» Software Engineering
- Agile and DevOps practices
- Software quality assurance and testing
- Requirements engineering and prototyping
- Model-Driven Development (MDD)
βοΈ Blockchain Technology
- Smart contracts and decentralized applications (dApps)
- Blockchain in financial services and voting
- Energy-efficient consensus mechanisms
- Blockchain scalability and security
π‘ Computer Networks
- 5G and 6G wireless technologies
- Software Defined Networking (SDN)
- Network security protocols
- Internet performance optimization
πΌοΈ Image Processing & Computer Vision
- Image segmentation and classification
- Object detection in video surveillance
- Face recognition and biometrics
- Medical image analysis using CNNs
π±οΈ Human-Computer Interaction (HCI)
- Usability in web and mobile applications
- Gesture and speech-based interfaces
- Eye-tracking and AR/VR interfaces
- Accessibility in UI/UX design
π€ Robotics & Embedded Systems
- Autonomous navigation systems
- Real-time operating systems (RTOS)
- Robot kinematics and control
- Embedded AI for intelligent systems
π£οΈ Natural Language Processing (NLP)
- Sentiment analysis and text summarization
- Language translation models
- Chatbots and virtual assistants
- NLP for low-resource languages
βοΈ Quantum Computing (Emerging)
- Quantum algorithms such as Shorβs and Groverβs algorithms
- Quantum cryptography
- Challenges in building quantum systems
- Hybrid quantum-classical architectures
π AI ML Research and Computer Science
IJIRE aims to promote innovative research, technological development, and academic excellence by providing researchers and industry professionals with a platform to share original insights and findings.
The journal encourages interdisciplinary research that bridges theory and practice. AI, machine learning, deep learning, data science, computer vision, NLP, robotics, and intelligent engineering applications are among the research areas relevant to an AI ML journal Google Scholar indexed.
β Why Choose IJIRE Journal?
β‘ Rapid Peer Review
IJIRE provides a structured peer-review workflow intended to support timely editorial decisions. The supplied workflow indicates defined review timelines, while actual processing may vary according to reviewer availability, manuscript quality, revisions, and editorial requirements.
π Open Access Policy
Open access allows published research to be freely accessed online, supporting wider dissemination among researchers, students, academics, and professionals.
π Efficient Publication Process
The editorial workflow covers submission, acknowledgment, peer review, decision, and publication. This structured process can support authors seeking fast publication while maintaining the required editorial stages.
π‘οΈ Plagiarism Protection
Plagiarism screening and editorial checks support academic integrity and responsible scholarly publishing.
π COPE Compliance
IJIRE states that it follows COPE Best Practice Guidelines for publication ethics and responsible scholarly publishing.
π Impact Beyond Academia
The journal welcomes research with practical relevance across technology, engineering, healthcare, education, industry, and other fields.
π Indexing & Abstracting
The supplied IJIRE information lists the following indexing and abstracting services. Authors should independently verify current indexing status with each respective provider before using it for academic or institutional requirements.
- Google Scholar
- Scribd
- ISSUU
- Elsevier Mendeley
- EuroPub
- DRJI
- Academic Keys
- Edocr
- I2OR
- PDFSR
- ResearchBIB
- SSRN
- WorldCAT
- Ex Libris (part of Clarivate)
- Thomson Reuters Research ID
- Semantic Scholar
- Dimensions
- PlumX
β±οΈ Fast Publication and Rapid Publication Process
IJIRE provides an author-oriented workflow from online submission through editorial review, peer review, decision notification, publication, and certificate access. The stated process is designed to provide a clear route for authors seeking rapid publication.
- Submit Online: 24/7 manuscript submission through the editorial management system.
- Initial Response: The stated workflow indicates acknowledgment within approximately 12 hours.
- Expert Review: The stated workflow indicates peer review within approximately 2β7 days.
- Decision Notification: The stated workflow indicates acceptance or rejection notification within approximately 3β7 days.
- Publication & Certificate: Instant PDF access and digital certificate are stated as part of the publication workflow.
These stated timelines should not be treated as a publication guarantee. Actual processing can depend on reviewer availability, manuscript quality, revisions, editorial assessment, and completion of author requirements.
π° Low Cost AI ML Journal
IJIRE follows an open-access model in which published articles are freely available online. A publication fee is applicable after manuscript acceptance to support online publication and the continued operation of the journal.
| Author Category | DOI Option | Publication Fee |
|---|---|---|
| Foreign Authors | With DOI | $80 USD |
| Indian Authors | Without DOI | βΉ1200 + 18% GST |
| Indian Authors | With DOI | βΉ1400 + 18% GST |
π₯οΈ Advanced Editorial Management System
- Author Dashboard: Personalized account with submission history and status updates.
- Real-Time Tracking: Monitor manuscript progress through each editorial stage.
- Automated Documents: Generation of acceptance letters and copyright forms.
- Easy Downloads: Convenient access to certificates and published papers.
π AI ML Journal Google Scholar Indexed for Computer Science Research
Researchers looking for an AI ML journal Google Scholar indexed can explore IJIRE's broad research scope in artificial intelligence, machine learning, deep learning, data science, computer vision, NLP, robotics, cybersecurity, cloud computing, IoT, blockchain, and other areas of computer science.
The journal's scope supports research involving intelligent algorithms, predictive models, generative AI, natural language processing, reinforcement learning, federated learning, edge AI, computer vision, and AI-enabled engineering applications.
π Google Scholar & UGC CARE Information
Google Scholar is included in the supplied IJIRE indexing information. Authors who specifically require UGC CARE recognition should independently verify the journal's current status through official UGC or other authoritative sources before submission, because indexing and listing status may change over time.
Authors interested in a low cost AI and machine learning publication option can review the stated APC structure. Researchers seeking fast publication or rapid publication should consider the complete peer-review and editorial process when planning their publication timeline.
π Submit Your AI & Machine Learning Research
IJIRE welcomes original research from academicians, scientists, engineers, students, scholars, and industry professionals working in artificial intelligence, machine learning, data science, computer science, engineering, and technology.
If you are searching for an AI ML journal Google Scholar indexed, you can submit your manuscript through the IJIRE Editorial Management System and follow the journal's peer-review, publication, and author formalities.
Ready to publish your AI and ML research? Submit your manuscript to IJIRE.
For queries: [email protected]