Results 21 to 30 of about 846,763 (295)
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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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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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
Kiwanuka, Fred N. +1 more
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Near optimal multiple choice index selection for relational databases [PDF]
, 1999 Index selection for relational databases is an important issue which has been researched quite extensively [1–5]. In the literature, in index selection algorithms for relational databases, at most one index is considered as a candidate for each attribute
Gündem, T.I.
core +1 more source
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
doaj +3 more sources
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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FEATURE SELECTION APPLIED TO THE TIME-FREQUENCY REPRESENTATION OF MUSCLE NEAR-INFRARED SPECTROSCOPY (NIRS) SIGNALS: CHARACTERIZATION OF DIABETIC OXYGENATION PATTERNS [PDF]
, 2012 Diabetic patients might present peripheral microcirculation impairment and might benefit from physical training. Thirty-nine diabetic patients underwent the monitoring of the tibialis anterior muscle oxygenation during a series of voluntary ankle flexo ...
Dash M. +10 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, 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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