Journal Details
Description
Journal of Artificial Intelligence with Applications (JAIwA) is a multidisciplinary peer-reviewed journal that provides rapid publication of research articles in all areas of Journal of Artificial Intelligence with Applications. JAIwA is published trimesterly and does not charge any processing and publication fee. The goal of this journal is to provide a platform for researchers, students, professionals and academicians all over the world to combine, promote, share, and discuss new ideas, issues, developments and its application in different areas of Journal of Artificial Intelligence with Applications. JAIwA will cover all areas of Journal of Artificial Intelligence with Applications and welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence, and will publish: Original articles in basic and applied research Case studies Reviews, surveys, opinions, records, technical notes, commentaries and essays JAIwA is fully committed to the Open Access Initiative and provides free access to all articles as soon as they are published. Papers should be written in English Language, attached in a Microsoft word or latex documents, and should have proper terminologies. Our objective is to inform authors of the decision on their manuscript (s) within four weeks of submission. Following acceptance, a paper will normally be published in the next issue. Open access gives a worldwide audience larger than that of any subscription-based journal and thus increases the visibility and impact of published works. It also enhances indexing, retrieval power and eliminates the need for permissions to reproduce and distribute content. The advantages to you of publishing in Journal of Artificial Intelligence with Applications; Full open access: everyone can read your article when it is published Prompt and fair peer review from two or more expert peer reviewers Frequent updates on your paper’s status Friendly responsive staff Focal points of the journal include, but are not limited to innovative applications of: Internet–of–things and cyber-physical systems Intelligent transportation systems & smart vehicles Big data analytics, understanding complex networks Neural networks, fuzzy systems, neuro-fuzzy systems Deep learning and real world applications Self-organizing, emerging or bio-inspired system Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc. Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control Decision-support systems Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning Applications of chaos theory and fractals Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability Intelligent fault detection, fault analysis, diagnostics and monitoring Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises We welcome all your submissions. Warm regards, Editorial Board
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