Results 21 to 30 of about 540,625 (369)
A Case Study of Combined Application of Smart Materials in a Thermal Energy Harvester with Vibrating Action [PDF]
Journal of Applied and Computational Mechanics, 2021 This paper demonstrates a case study of a combined application of smart materials in a thermal energy harvester with vibrating action. The conceptual design of the harvester is based on a Shape Memory Alloy wire attached to the free end of a ...
Rosen Mitrev +4 more
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Scientific Reports, 2023 Engine Oil is a widely used fluid in engineering problems, particularly to enhance the rate of heat transfer when these working fluids play a fundamental role.
Muhammad Arif +3 more
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Erratum to: Computational Complexity Theory and the Philosophy of Mathematics [PDF]
Philosophia Mathematica, 2020 openalex +2 more sources
An inertial extrapolation method for multiple-set split feasibility problem
Journal of Inequalities and Applications, 2020 In this paper, we propose an iterative algorithm with inertial extrapolation to approximate the solution of multiple-set split feasibility problem. Based on Lopez et al. (Inverse Probl.
Guash Haile Taddele +2 more
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Amorphous computing: examples, mathematics and theory [PDF]
Natural Computing, 2013 The cellular automata model was described by John von Neumann and his friends in the 1950s as a representation of information processing in multicellular tissue. With crystalline arrays of cells and synchronous activity, it missed the mark (Stark and Hughes, BioSystems 55:107-117, 2000). Recently, amorphous computing, a valid model for morphogenesis in
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Minds and Machines, 2020 In computational complexity theory, decision problems are divided into complexity classes based on the amount of computational resources it takes for algorithms to solve them.
M. Pantsar
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A note on “A new approach for ranking fuzzy numbers based on possibility theory” [PDF]
Decision Science Letters, 2019 Very recently, Qiupeng and Zuxing (2017) [Qiupeng, G., & Zuxing, X. (2017). A new approach for ranking fuzzy numbers based on possibility theory. Journal of Computational and Applied Mathematics, 309, 674-682.] suggested a new fuzzy ranking technique on ...
Alireza Sotoudeh-Anvari +3 more
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Mathematics for Machine Learning
Journal of Mathematical Sciences & Computational Mathematics, 2020 Machine learning is a way to study the algorithm and statistical model that is used by computer to perform a specific task through pattern and deduction [1].
Gaurav Kumar +4 more
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THE DEVELOPMENT OF STUDENTS APPLIED MATHEMATICAL THINKING IN TEACHING INVERSE AND ILL-POSED PROBLEMS
RUDN Journal of Informatization in Education, 2017 In the article the author draws the reader’s attention to the fact that, while mastering the process of learning the theory and methodology of inverse and ill-posed problems, students not only form the fundamental knowledge in the field of inverse and ...
V S Kornilov
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Современные информационные технологии и IT-образование, 2021 Some aspects of the process of mathematical modeling and computational experiment are considered. The modeling process is considered as a method of predicting the behavior of dynamic systems and processes, which allows implementing a chain from a full ...
Sergey Strebulyaev, Daria Sirotkina
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