Ultrasonic phased array total focusing method (TFM) attracts much interest because of high image resolution and large dynamic range. However, the data acquisition method relied on by TFM is full matrix capture (FMC), ...
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This paper introduces a scheduling method of computing power in data center optical network based on multi-hierarchy mapping, which aims to solve the challenge of heterogenous computing power devices that may not be m...
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There is heightened interest in quantum algorithms for Topological data Analysis (TDA) as it is a powerful tool for data analysis, but it can get highly computationally expensive. Even though there are different propo...
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ISBN:
(纸本)9798350311990
There is heightened interest in quantum algorithms for Topological data Analysis (TDA) as it is a powerful tool for data analysis, but it can get highly computationally expensive. Even though there are different propositions and observations for Quantum Topological data Analysis (QTDA), the necessary details to implement them on software platforms are lacking. Towards closing this gap, the present paper presents an implementation of one such algorithm for calculating Betti numbers. The step-by-step instructions for the chosen quantum algorithm and the aspects of how it can be used for machine learning tasks are provided. We provide encouraging results on using Betti numbers for classification and give a preliminary analysis of the effect of the number of shots and precision qubits on the outcome of the quantum algorithm.
With the establishment and development of integrated monitoring platforms and communication information platforms for intelligent substations, the data volume of the power system is showing explosive growth. However, ...
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High performance computing (HPC) cloud, which is a fusion of HPC and cloud, is receiving much attention due to growing demand for large-scale computing. The HPC cloud is targeted for running HPC-derived applications, ...
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With the development of the economy, the vacancy rate of housing in underdeveloped areas of China exhibits characteristics of uneven distribution and seasonal variation, which poses difficulties in accurately assessin...
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This paper is devoted to the problem of dataprocessing management in fog- and edge-computing environments. The main issue of task planning is that the environments of the fog and edge network tiers are dynamic and he...
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Machine learning algorithms enable computers to learn from data and continuously enhance performance without explicit programming. Machine learning algorithms have significantly improved the accuracy and efficacy of t...
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In this technology fueled world, everyone is using smart devices, electronic gadgets, wireless products etc. and huge amounts of data are being generated, collected, and stored in the databases. To efficiently process...
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Analysis of large website log big data, can effectively get the user access website various related report data, such as website click rate, each country IP address, extract and splicing log key fields, etc., by refin...
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