The International Journal of Automation, Artificial Intelligence and Machine Learning (IJAAIML) provides a forum for researchers and practitioners from the fields of artificial intelligence landscape – tools, techniques and platforms, machine learning algorithms – supervised, unsupervised, ensemble techniques, application of neural networks and deep neural networks, application of deep learning to computer vision and natural language processing, robotic automation and newly developed cross-disciplinary studies that exhibit intelligent autonomous behavioral characteristics. The journal delivers the cutting-edge research on techniques, technologies and algorithms and promotes development in emerging disciplines that support robotic automation, artificial intelligence and machine learning. The journal offers the access to opportunities to exploration and implementation of systems from the basis of concepts, theories, patterns and procedures that exhibit properties, phenomena, or abilities of any man or machine that have substantive impact to real world problems.
This journal recognizes that artificial intelligence (AI) has come a long way from fuzzy logic to feedback mechanism in intelligent systems to John McCarthy’s tireless efforts that promotes continued research on this subject. This journal positions to seize the moment of change and innovation in strategic transformation that the subject topics impact how human live, interact, study and work. This journal opens to policy making and standards formation from government and regulatory agency, business organization and industry associations, for instance, from the perspective how they deploy and integrate research and development in subject advancements into business process, corporate governance, and large-scale compliance and regulatory initiatives. Proof of concepts and pilots of innovation can be incorporated as case studies, product demo or service offerings in any significant stage of the maturity or lifecycle. The journal encourages the researchers and practitioners to take part and join the community today, rather than wait for perfection of their product or services.
Topics of interest include but are not limited to, the following
- Intelligent automation
- Machine learning techniques
- Deep learning techniques
- Expert systems
- Big data and data mining
- Fuzzy pattern recognition
- Fuzzy system applications in robotics
- Fuzzy neural systems, neuro-fuzzy systems
- Adaptive autonomous robots
- Natural language processing
- Neural networks
- Parallel processing
- Pattern recognition
- Computational intelligence
- Computational linguistics
- Computer vision
- Human machine interaction
- Neuro-computing
- Soft computing and fuzzy inference
- Speech analysis and recognition
- Stochastic optimization
