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Artificial Intelligence Review

An International Science and Engineering Journal

Artificial Intelligence Review OnlineFirst articles

28-05-2020

Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey

Growth in consumption of Oryza sativa (rice) has led the farmers across Asian countries to cultivate Oryza sativa, with an impact of 2.5 percent increase in the cultivation of the crop every year. Along with the growth in Oryza sativa cultivation …

22-05-2020

Sentiment analysis with deep neural networks: comparative study and performance assessment

The current decade has witnessed the remarkable developments in the field of artificial intelligence, and the revolution of deep learning has transformed the whole artificial intelligence industry. Eventually, deep learning techniques have become …

19-05-2020

Novel classes of coverings based multigranulation fuzzy rough sets and corresponding applications to multiple attribute group decision-making

The notion of covering based multigranulation fuzzy rough set (CMGFRS) models is a generalization of both granular computing and covering based fuzzy rough sets. Therefore it has become a powerful tool for coping with vague and multigranular …

18-05-2020

Soft dominance based multigranulation decision theoretic rough sets and their applications in conflict problems

The extension of rough set model is a crucial and vast research direction in rough set theory. Meanwhile decision making can be considered as a mental process in which human beings make a choice among several alternatives. However, with the …

17-05-2020

Neural networks for online learning of non-stationary data streams: a review and application for smart grids flexibility improvement

Learning efficient predictive models in dynamic environments requires taking into account the continuous changing nature of phenomena generating the data streams, known in machine learning as “concept drift”. Such changes may affect models’ …

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About this journal

Artificial Intelligence Review publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in artificial intelligence, cognitive science and related disciplines. It serves as a forum for the work of researchers and application developers from these fields.

Artificial Intelligence Review also presents refereed survey and tutorial articles, as well as reviews and commentary on significant developments.

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