Results 21 to 30 of about 129,844 (264)
Applied Sciences, 2020 There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity and the quality of daily life. The treatment of these disorders is a challenging task for medical professionals.
Sushruta Mishra +4 more
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MaSS: Multi-attribute Selective Suppression
CoRR, 2022 The recent rapid advances in machine learning technologies largely depend on the vast richness of data available today, in terms of both the quantity and the rich content contained within. For example, biometric data such as images and voices could reveal people's attributes like age, gender, sentiment, and origin, whereas location/motion data could be
Chun-Fu Chen 0001 +7 more
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When Will You Have a New Mobile Phone? An Empirical Answer From Big Data
IEEE Access, 2016 When and why people change their mobile phones are important issues in mobile communications industry, because it will impact greatly on the marketing strategy and revenue estimation for both mobile operators and manufactures.
Qingli Ma +4 more
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OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS
Journal of ICT, 2018 Attribute selection which is also known as feature selection is an essential process that is relevant to predictive analysis. To date, various feature selection algorithms have been introduced, nevertheless they all work independently.
Mohammad Aizat Basir +2 more
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Axioms, 2023 The purpose of this paper is to propose an improved hesitation fuzzy multi-attribute decision-making method to realize green supply chain member selection under green innovation vision.
Jiafu Su +4 more
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Data mining as a hatchery process evaluation tool
Scientia Agricola, 2019 The hatchery is one of the most important segments of the poultry chain, and generates an abundance of data, which, when analyzed, allow for identifying critical points of the process .
Daniela Regina Klein +5 more
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IEEE Access, 2021 Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor ...
G. S. Thejas +5 more
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Automatic attribute threshold selection for morphological connected attribute filters [PDF]
Pattern Recognition, 2016 Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. In attribute filters, till date setting the attribute-threshold parameters has to be done manually. This research explores novel, simple, fast and automated methods of computing attribute threshold parameters based on
Fred N. Kiwanuka +1 more
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IEEE Access, 2022 An important feature of the wireless network scenario is that there are multi- radio access technologies in the same area, and the signal coverage of these networks overlaps each other, forming the heterogeneous wireless network area.
Xiaoxue Guo +5 more
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Frontiers in Psychology, 2020 We propose a new method that balances attribute coverage for short-length cognitive diagnostic computerized adaptive testing (CD-CAT). The new method uses the attribute discrimination index (ADI-based method) instead of the number of items that measure ...
Yutong Wang +3 more
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