AIM
The mission of the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) is to unite scholarly research and corporate expertise across all facets of Artificial Intelligence and Neural Networking in a format accessible to readers. The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) aims to disseminate top-notch, peer-reviewed articles on Artificial Intelligence and Neural Networking. The research featured in the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) holds practical significance, offering valuable insights for managers in leadership roles overseeing projects, programs, and portfolios. Therefore, both the theoretical and managerial implications of the research are essential. The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) seeks exceptional contributions that bridge theory and practice, emphasising precision and practicality in Artificial Intelligence and Neural Networking.
SCOPE
The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) covers a broad range of subjects within the field of Artificial Intelligence and Neural Networking. These include, but are not limited to, the following topics:
- Neural Networks
- Fuzzy Logic
- Biological Algorithm
- Optimization Algorithms
- Genetic Algorithm
- Reasoning and Inference
- Artificial Intelligence Algorithms
- Machine Learning Algorithms
- AI Applications
- Multimedia and Cognitive Informatics
- Data Mining
- Heuristic and AI Planning
- AI Architecture
- Knowledge-based Algorithms
- Bioinformatics
- Natural Language Processing
- Multi-Agent System
- Regression and Prediction
- Clustering
- Classification
- Neural Information Processing
- Vision and Speech Perception
- Heterogeneous Algorithms
- Probabilistic Models and Methods
- AI Marketing
- Knowledge Discovery
- Web Mining & Information Retrieval
- Design and Diagnosis
- Game Playing
- Data Streaming
- Music Modelling and Analysis
- Robotics and Control