Results 231 to 240 of about 334,461 (264)
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DATA PROCESSING NETWORK ARCHITECTURE FOR PARALLEL COMPUTING IN A HIGH-PERFORMANCE COMPLEX FOR MATERIALS SCIENCE PROBLEMS

Mathematical modeling in materials science of electronic component, 2022
The paper considers the architecture of building parallel data storage systems in high-performance computing systems. The features of data representation in parallel file systems for applied problems of materials science are analyzed.
K. Volovich, S. Denisov, V. Kondrashev
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Data processing and computer science theory

Proceedings of the fourteenth SIGCSE technical symposium on Computer science education - SIGCSE '83, 1983
Theoretical results have had much greater impact on computing practice than we are normally aware of, and the practical significance of theoretical results can be expected to become more prominent in the future. We discuss the past and present significance for data processing specialists of some results in analysis of algorithms, languages, and program
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Data processing and Computer Science graduates

Proceedings of the fifth SIGCSE technical symposium on Computer science education - SIGCSE '75, 1975
The following paper presents the views, observations and concerns of an educator working in the field of information and data processing. The primary comments and suggestions are directed toward the academic community although suggestions and goals are also made which are applicable to the information and data processing field.
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Process Mining as the Superglue Between Data Science and Enterprise Computing

2014 IEEE 18th International Enterprise Distributed Object Computing Conference, 2014
Process mining provides new ways to utilize the abundance of data in enterprises. Suddenly many organizations realize that survival is not possible without exploiting available data intelligently. A new profession is emerging: the data scientist. Just like computer science emerged as a new discipline from mathematics when computers became abundantly ...
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Workshop Report Computer Science, Engineering and Data Processing Curricula

Computer, 1978
Colleges and universities seek to respond to the manpower needs of industry, business, and government through continuing reappraisal of computer education. Reappraisal was the unifying theme at the Fourth Joint College Curricula Workshop in Computer Science, Engineering, and Data Processing.
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Design of a Growth Process of High-Quality Quasi-Monocrystalline Silicon Ingot Integrating Experimental, Theoretical, Computational, and Data Sciences

2022
We report on a methodology to design a growth process of high-quality quasi-monocrystalline silicon ingot integrating experimental, theoretical, computational, and data sciences. First, the model of crystal growth simulation was validated by utilizing experimental data, and the resulting model was used to collect training data showing the relationship ...
Usami, N.   +5 more
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Working Abductively at the Edge of Economics and Computer Science: Economatics as a Data Processing Economy

2021
In this paper we discuss a novel approach to the analysis of a data processor based on production rules and abductive reasoning: It is called “economatics”, namely, a neologism that describes the abductive approach to computing performance analysis that uses concepts, models, and methods borrowed from both economics and computer science.
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Integrating Data Management and Collaborative Sharing with Computational Science Research Processes

2012
This chapter describes the key principles and components of a good data management system, provides real world examples of how these can be successfully integrated with scientific research processes and enable successful data sharing, provides an outlook on future developments, and discusses lessons learned.
Kleese van Dam, Kerstin   +2 more
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Fuzzy text data processing system: COMPUTER SCIENCES AND TEACHING METHODS OF COMPUTER SCIENCES

2022
The article is devoted to the problem of comparing textual data based on fuzzy logic and neural networks. It provides information on the ability to compare texts based on Levenstein's distance, implemented in the FuzzyWuzzy extension module for the Python programming language.
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Data Visualization: The Crossroads Between Computer Science Curriculum and Baseball; Baseball Technology and its Impact on the Player Development Process

2023
Player development is the most important aspect of college and professional baseball today. Division 1 college teams are given four years – three for the premier collegiate talent – to maximize their players’ development in hopes of making a postseason run to the College World Series in Omaha.
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