Results demonstrate that the conditional entropy shows the data integrity, and indicate how the algorithms are matched or mismatched to the geometry. A new method for assessing data integrity is devised for those decision makers to help improve the quality of image reconstruction. 展开 关键词:...
The weights of evaluation criteria are determined by applying entropy, which is an objective weighting method. In the analysis, the firms are ranked by integrating entropy-based MAUT method. According to the analysis results, Kartonsan has the highest performance rate for all the years, whereas ...
for Integration of Human鈥揝oftware鈥揌ardware in Complex Physical Systems (Invited)Identification of Hidden Failures in Control Systems: A Functional Modeling ApproachAn Entropy Based Method for Computing Software Structural ComplexityAn ... R Da,P D'Hondt,P Govaerts,... - WORLD SCIENTIFIC 被引量...
Entropy is a non-linear method derived from the theory of complex systems which measures the randomness and predictability of stochastic processes. Various types of entropy have been used in clinical monitoring20,21,22. Sample Entropy (SE) is a measure of complexity and regularity, defined as the...
A thresholding method based on two-dimensional Renyi’’s entropy. P. K. Sahoo,G. Arora. Pattern Recognition . 2004GU X Q, SUN Y Q, HOU ZH J. Fast robust thresholding method based on two-dimensional renyi' s entropy [ J ]. Compuuter Seienee, 2012, 39 (9) : 284-288....
Subspace outlier detection has emerged as a practical approach for outlier detection. Classical full space outlier detection methods become ineffective in high dimensional data due to the “curse of dimensionality”. Subspace outlier detection methods ha
An Assessment of the Paper Industry Firms Listed in Borsa Istanbul Using Entropy-Based MAUT MethodMCDMMAUTEntropyPaper industryMarket performanceFinancial performanceThe aim of this study is to measure the market and financial performance of the paper industry firms listed in Borsa Istanbul by adopting ...
method of using TOPSIS-entropy weight comprehensive evaluation method to define the initial load, simulate the network cascading failure process, and study ... Y Wang,D Lei,JJ Yu,... - 《Proceedings of Spie》 被引量: 0发表: 2023年 Multi-scale architectures matter: Examining the adversarial ...
Entropy function method for best basis selection A methodology is developed to derive algorithms for optimal basis selection by minimizing diversity measures proposed by Wickerhauser and Donoho. These measures include the p-norm-like (l (p鈮 1) ) diversity measures. In order to overcome... T Wa...
Using this method, we constructed a model (RL2 + CM + LM model) that augments a reinforcement-learning model with a choice-memory component that captures option-dependent strategies and a loss-memory component that captures loss-dependent strategies. Previous studies have also shown that ...