About the Journal
Innovative Informatics and Artificial Intelligence Research (IIAIR) is an international journal in the field of informatics, artificial intelligence, and its intersection with other fields (multi-discipline). IIAIR is a peer-reviewed, open-access journal dedicated to advancing both informatics and artificial intelligence disciplines. Published in April and October each year, the journal serves as a platform for researchers, scholars, and practitioners to disseminate innovative research findings and engage in critical discussions related to artificial intelligence or machine learning, software development, computer networking, blockchain, and informatics intersections with diverse fields, including but not limited to ecological informatics, environmental informatics, healthcare informatics, and agricultural informatics.
Current Issue
Vol. 2 No. 1 (2026): April Issue
This issue highlights the diverse applications of deep learning across multiple domains, including gender identification, biodiversity analysis, and journal systems. It features a lightweight deep learning model for gender prediction using eye images, the application of LSTM for information extraction from scientific journal content, comparative studies of deep learning models for plant and bird species classification, and a Doc2Vec approach based on DOM-tree traversal combined with AutoML for detecting predatory journals from HTML pages. Collectively, these contributions demonstrate the expanding role of artificial intelligence in addressing real-world challenges across interdisciplinary fields.
Published:
30-04-2026
Articles
The journal’s topics are but not limited to:
- Computer Networks
- Cybersecurity
- Software Security and Privacy
- Blockchain
- User Experience (UX)
- Software Testing and Quality Assurance (QA)
- Innovative Open Source Library
- Software Evolution
- DevOps and Continuous Integration/Continuous Deployment (CI/CD)
- Green and Sustainable Software Engineering
- Databases and Big Data
- Green Cloud Computing
- Internet of Things (IoT)
- Artificial Intelligence of Things (AIoT)
- Machine Learning for Software Engineers
- Machine Learning Operations (MLOps)
- Algorithms or Applications of Machine Learning/Deep Learning
- Algorithms or Applications of Evolutionary Computation
- Algorithms or Applications of Fuzzy Inference System
- Automated Machine Learning
- Natural Language Processing
- Speech Processing
- Computer Vision
- Web Intelligence
- Generative Artificial Intelligence
- Lifelong Machine Learning
