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Sorting has been a profound area for the algorithmic researchers and many resources are invested to suggest more works for sorting algorithms. For this purpose, many existing sorting algorithms were observed in terms of the efficiency of the algorithmic ...
NIDHAL . K EL ABBADI +1 more
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Efficient Detection of Defective Parts with Acoustic Resonance Testing Using Synthetic Training Data
Analyzing eigenfrequencies by acoustic resonance testing enables a fast screening of components regarding structural defects. The eigenfrequencies of each specific part depend on the general geometric and material properties, including tolerable part-to ...
Matthias Heinrich +2 more
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Nowadays, mangoes and other fruits are classified according to human perception of low productivity, which is a poor quality of classification. Therefore, in this study, we suggest a novel evaluation of internal quality focused on external features of ...
Nguyen Truong Minh Long +1 more
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Sorting algorithm acceleration based on CPU-FPGA heterogeneous system
Traditional sorting methods are mainly implemented in software serial mode, including bubble sorting, selective sorting and so on. These algorithms often use sequential comparison, and the operation time complexity is relatively high.
Kou Yuanbo +3 more
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Modelling and Optimisation of Vacuum Collection System for Cruise Ship Kitchen Garbage
Pollution of the marine environment by ship garbage is an urgent problem to be solved at home and abroad. The ship kitchen garbage vacuum collection system is a new environmental protection scheme for garbage disposal.
Jun Du, Ruonan Li, Xin Wu, Hang Zhao
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Systematic review and exploration of new avenues for sorting algorithm
Sorting plays a crucial role in almost all algorithms that support data science applications. A quadratic sorting algorithm is one in which the time taken for the algorithm to sort a dataset grows as the square of the size of the dataset. This paper aims
Anand Zutshi, Dipanjan Goswami
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Sorting using complete subintervals and the maximum number of runs in a randomly evolving sequence: Extended abstract. [PDF]
We study the space requirements of a sorting algorithm where only items that at the end will be adjacent are kept together. This is equivalent to the following combinatorial problem: Consider a string of fixed length n that starts as a string of 0's, and
Svante Janson
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Model Predictive Control is a promising technique for electric drive control, as it enables optimization for multiple parameters and offers reliable operation with non-linear systems.
Kristof Bandy, Peter Stumpf
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Exploring Artificial Intelligence Architecture in Data Cleaning Based on Bayesian Networks
In order to further improve the technical level of data cleaning and data mining and better avoid the defects of uncertain knowledge expression in traditional Bayesian networks, a Bayesian network algorithm based on combined data cleaning and mining ...
Suzhen Zhang, Yuechun Wang, Qing Lv
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An Agglomeration Law for Sorting Networks and its Application in Functional Programming [PDF]
In this paper we will present a general agglomeration law for sorting networks. Agglomeration is a common technique when designing parallel programmes to control the granularity of the computation thereby finding a better fit between the algorithm and ...
Lukas Immanuel Schiller
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