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International Journal of Cognitive Computing in Engineering

Cognitive computing has broad horizons, which cover different characteristics of cognition. The field is highly trans-disciplinary in nature, combining ideas, principles and methods of psychology, computer and Internet technologies, linguistics, philosophy, neuroscience, etc. Cognitive computing is the creation of self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to solve complicated problems without constant human oversight. Cognitive computing will bring a high level of fluidity to analytics. The main aim of this journal explores domain knowledge and reasoning of data science technologies and cognitive methods over the engineering applications. The idea of embodying this concept would be to extend existing data technologies approaches by incorporating knowledge from experts as well as a notion of artificial intelligence, and performing inference on the knowledge. The main focus is design of best cognitive embedded data technologies to process and analyse the large amount of data collected through various sources and help for good decision-making.

The new frontier research era and convergence of cognitive data science methods and models with reference to engineering has three main streams needs to be addressed in the current scenario: bio informatics, medical imaging, and sustainable engineering and so on. This journal is integrating machine learning, cognitive neural computing parallel computing paradigms, advanced data analytics and optimization opportunities to bring more compute to the real-world engineering problems and challenges.

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Editor-in-Chief: Arun Kumar Sangaiah
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Imprint: KeAi
ISSN: 2666-3074
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