Results 41 to 50 of about 204,288 (176)
EntropyDiagnosing faults in wheelset bearings is critical for train safety. The main challenge is that only a limited amount of fault sample data can be obtained during high-speed train operations.
Jing Zhao +5 more
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Beta Distribution-Based Cross-Entropy for Feature Selection
Entropy, 2019 Analysis of high-dimensional data is a challenge in machine learning and data mining. Feature selection plays an important role in dealing with high-dimensional data for improvement of predictive accuracy, as well as better interpretation of the data ...
Weixing Dai, Dianjing Guo
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See-and-avoid quadcopter using fuzzy control optimized by cross-entropy [PDF]
, 2012 In this work we present an optimized fuzzy visual servoing system for obstacle avoidance using an unmanned aerial vehicle. The cross-entropy theory is used to optimise the gains of our controllers.
Campoy, Pascual +3 more
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Ensemble Classifier Based on Interval Modeling for Microarray Datasets
EntropyThe purpose of the study is to propose a multi-class ensemble classifier using interval modeling dedicated to microarray datasets. An approach of creating the uncertainty intervals for the single prediction values of constituent classifiers and then ...
Urszula Bentkowska +3 more
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Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints
IEEE Access, 2018 Coordinated task allocation for multiple unmanned aerial vehicles (multi-UAVs) is an important problem. Taking considerations of the types of UAVs, and the resources are extremely significant in the coordinated control of multi-UAVs.
Liwei Huang, Hong Qu, Lin Zuo
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Uniform Cross-entropy Clustering
Schedae Informaticae, 2017 Robust mixture models approaches, which use non-normal distributions have recently been upgraded to accommodate data with fixed bounds. In this article we propose a new method based on uniform distributions and Cross-Entropy Clustering (CEC). We combine a simple density model with a clustering method which allows to treat groups separately and estimate
Brzeski, Maciej, Spurek, Przemysław
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Hybrid Precoding for Beamspace MIMO Systems With Sub-Connected Switches: A Machine Learning Approach
IEEE Access, 2019 By employing lens antenna arrays, the number of radio frequency (RF) chains in millimeter-wave (mmWave) communications can be significantly reduced. However, most existing studies consider the phase shifters (PSs) as the main components of the analog ...
Ting Ding +4 more
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Entropy, 2019 Drug-drug interactions (DDIs) may bring huge health risks and dangerous effects to a patient’s body when taking two or more drugs at the same time or within a certain period of time.
Xia Sun +6 more
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Sample-Balanced and IoU-Guided Anchor-Free Visual Tracking
Image Analysis and Stereology, 2023 Siamese network-based visual tracking algorithms have achieved excellent performance in recent years, but challenges such as fast target motion, shape and scale variations have made the tracking extremely difficult. The regression of anchor-free tracking
Jueyu Zhu, Yu Qin, Kai Wang, Zhigao Zeng
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Causal Confirmation Measures: From Simpson’s Paradox to COVID-19
Entropy, 2023 When we compare the influences of two causes on an outcome, if the conclusion from every group is against that from the conflation, we think there is Simpson’s Paradox.
Chenguang Lu
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