Wilcoxon adaptive algorithms for robust identification

2009 ◽  
Vol 45 (18) ◽  
pp. 958 ◽  
Author(s):  
S.J. Ban ◽  
S.W. Kim
Keyword(s):  
Adaptive Algorithms ◽  
Robust Identification

Robust Identification of Pressure Oscillations in the Combustion Chamber of a Heavy-Duty Turbine

2017 ◽  
Author(s):  
Juliano Pierezan ◽  
Gabriel Maidl ◽  
Eduardo Yamao ◽  
João Paulo Silva Gonçalves ◽  
Flávio Chiesa ◽  
...  
Keyword(s):  
Combustion Chamber ◽  
Heavy Duty ◽  
Pressure Oscillations ◽  
Robust Identification

Adaptive Algorithms for Interferometric Processing

2020 ◽  
Vol 28 (3) ◽  
pp. 267-273
Author(s):  
E. S. Kaznacheeva ◽  
V. M. Kuz’kin ◽  
G. A. Lyakhov ◽  
S. A. Pereselkov ◽  
S. A. Tkachenko
Keyword(s):  
Adaptive Algorithms

scholarly journals Decision Tree-Based Adaptive Reconfigurable Cache Scheme

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 176
Author(s):  
Wei Zhu ◽  
Xiaoyang Zeng
Keyword(s):  
Decision Tree ◽  
Adaptive Algorithms ◽  
Memory Access ◽  
Access Time ◽  
Decision Tree Algorithm ◽  
Verilog Hdl ◽  
Tree Model ◽  
Cache Associativity ◽  
Cache Scheme ◽  
Reconfigurable Cache

Applications have different preferences for caches, sometimes even within the different running phases. Caches with fixed parameters may compromise the performance of a system. To solve this problem, we propose a real-time adaptive reconfigurable cache based on the decision tree algorithm, which can optimize the average memory access time of cache without modifying the cache coherent protocol. By monitoring the application running state, the cache associativity is periodically tuned to the optimal cache associativity, which is determined by the decision tree model. This paper implements the proposed decision tree-based adaptive reconfigurable cache in the GEM5 simulator and designs the key modules using Verilog HDL. The simulation results show that the proposed decision tree-based adaptive reconfigurable cache reduces the average memory access time compared with other adaptive algorithms.

Heuristics, abductions and adaptive algorithms : A toolbox for human decision making

2020 ◽  
Author(s):  
Nelson Mauro Maldonato ◽  
Alessandro Chiodi ◽  
Donatella di Corrado ◽  
Antonietta M. Esposito ◽  
Salvatore de Lucia ◽  
...  
Keyword(s):  
Decision Making ◽  
Adaptive Algorithms ◽  
Human Decision

scholarly journals Integrating Bayesian Inference with Scanning Probe Experiments for Robust Identification of Surface Adsorbate Configurations (Adv. Funct. Mater. 32/2021)

2021 ◽  
Vol 31 (32) ◽  
pp. 2170235
Author(s):  
Jari Järvi ◽  
Benjamin Alldritt ◽  
Ondřej Krejčí ◽  
Milica Todorović ◽  
Peter Liljeroth ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Scanning Probe ◽  
Robust Identification

Complex multi-kernel random Fourier adaptive algorithms under the complex kernel risk-sensitive p-power loss

2021 ◽  
pp. 103087
Author(s):  
Gangyi Huang ◽  
Minglin Shen ◽  
Tao Zhang ◽  
Fuliang He ◽  
Shiyuan Wang
Keyword(s):  
Power Loss ◽  
Adaptive Algorithms ◽  
Risk Sensitive

scholarly journals Flow Cytometry-Based Determination of Ploidy from Dried Leaf Specimens in Genomically Complex Collections of the Tropical Forage Grass Urochloa s. l.

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 957
Author(s):  
Paulina Tomaszewska ◽  
Till K. Pellny ◽  
Luis M. Hernández ◽  
Rowan A. C. Mitchell ◽  
Valheria Castiblanco ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Germplasm Collection ◽  
Forage Grass ◽  
Breeding Programs ◽  
Robust Identification ◽  
Ploidy Levels ◽  
Sustainable Improvement ◽  
Tropical Forage ◽  
Relative Differences

Urochloa (including Brachiaria, Megathyrus and some Panicum) tropical grasses are native to Africa and are now, after selection and breeding, planted worldwide, particularly in South America, as important forages with huge potential for further sustainable improvement and conservation of grasslands. We aimed to develop an optimized approach to determine ploidy of germplasm collection of this tropical forage grass group using dried leaf material, including approaches to collect, dry and preserve plant samples for flow cytometry analysis. Our methods enable robust identification of ploidy levels (coefficient of variation of G0/G1 peaks, CV, typically <5%). Ploidy of some 348 forage grass accessions (ploidy range from 2x to 9x), from international genetic resource collections, showing variation in basic chromosome numbers and reproduction modes (apomixis and sexual), were determined using our defined standard protocol. Two major Urochloa agamic complexes are used in the current breeding programs at CIAT and EMBRAPA: the ’brizantha’ and ’humidicola’ agamic complexes are variable, with multiple ploidy levels. Some U. brizantha accessions have odd level of ploidy (5x), and the relative differences in fluorescence values of the peak positions between adjacent cytotypes is reduced, thus more precise examination of this species is required. Ploidy measurement of U. humidicola revealed aneuploidy.

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