Topics Covered
The International Journal of Modern Artificial Hybrid Intelligence: Advanced Learning Innovations (IJMAHI) publishes original research, reviews, case studies, and scholarly perspectives across the full spectrum of Artificial Intelligence and its interdisciplinary applications.
Core Areas of Interest
- Machine Learning & Deep Learning
- Natural Language Processing (NLP)
- Computer Vision & Image Processing
- Reinforcement Learning
- Generative AI & Diffusion Models
- Explainable AI (XAI)
- AI Ethics & Responsible AI
- Neural Networks & Brain-Inspired Computing
- AI in Edge & IoT Systems
- Hybrid Intelligence Models (AI + Human + Symbolic Logic)
Interdisciplinary Applications
- AI in Education & Learning Analytics
- AI in Healthcare & Bioinformatics
- AI for Smart Agriculture & Environment
- AI in Business, Marketing, and Economics
- AI in Social Sciences, Psychology, and Ethics
- AI for Cybersecurity & Digital Forensics
- AI in Law, Governance & Public Policy
- AI in Communication & Linguistics
- AI in Engineering: Mechanical, Civil, Electrical, etc.
- AI in Mathematics, Physics, and Computational Science
Special Emphasis on Hybrid AI
IJMAHI particularly encourages submissions exploring hybrid approaches that integrate multiple AI techniques (e.g., symbolic AI + deep learning, AI + fuzzy logic, etc.) or combine AI with domain knowledge to solve real-world problems.
Call for Emerging Topics
We welcome proposals for emerging AI topics, special issues, and interdisciplinary themes. Authors are encouraged to contact the Editor-in-Chief for topic suggestions or special issue collaboration.
For further clarification or inquiries, contact us at: editor@airesearchjournals.com