Results 11 to 20 of about 533,253 (261)
Relating Natural Language Aptitude to Individual Differences in Learning Programming Languages
Scientific Reports, 2020 This experiment employed an individual differences approach to test the hypothesis that learning modern programming languages resembles second “natural” language learning in adulthood.
C. Prat +3 more
semanticscholar +3 more sources
Compute Nano topology by used the programing language python
Tikrit Journal of Pure Science, 2023 The research aims to Compute the Nano topologies of any set, consisting of five or less elements, through the Python programming language, with finding the necessary algorithms for the solution steps, We explain the mechanism of action: In first we will
Nawfal N. Abed , Ali A. Shihab
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Realization of the chess mate solver application [PDF]
Yugoslav Journal of Operations Research, 2004 This paper presents details of the chess mate solver application, which is a part of the author’s Geniss general chess application. The problem chess is an important domain connected with solving of the chess problems.
Vučković Vladan V.
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On symbolic computation of C.P. Okeke functional equations using Python programming language
Aequationes Mathematicae, 2023 This present paper is inspired by one of the questions posed by Okeke (Results Math 78(96):1-30, 2023, see Remark 2.10b). In particular, we aim to develop a robust computer code based on the theoretical results obtained in Okeke (2023), which determines ...
Chisom Prince Okeke +2 more
semanticscholar +1 more source
Frontiers in Physiology, 2021 Cardiac optical mapping, also known as optocardiography, employs parameter-sensitive fluorescence dye(s) to image cardiac tissue and resolve the electrical and calcium oscillations that underly cardiac function.
Blake L. Cooper +16 more
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BlenX-based compositional modeling of complex reaction mechanisms [PDF]
Electronic Proceedings in Theoretical Computer Science, 2010 Molecular interactions are wired in a fascinating way resulting in complex behavior of biological systems. Theoretical modeling provides a useful framework for understanding the dynamics and the function of such networks. The complexity of the biological
Judit Zámborszky, Corrado Priami
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Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons [PDF]
PeerJ, 2017 The importance of 16S rRNA gene amplicon profiles for understanding the influence of microbes in a variety of environments coupled with the steep reduction in sequencing costs led to a surge of microbial sequencing projects.
Ilias Lagkouvardos +3 more
doaj +2 more sources
Extending Stan for Deep Probabilistic Programming [PDF]
, 2020 Stan is a popular declarative probabilistic programming language with a high-level syntax for expressing graphical models and beyond. Stan differs by nature from generative probabilistic programming languages like Church, Anglican, or Pyro.
Baudart, Guillaume +5 more
core +2 more sources
The Glasgow Parallel Reduction Machine: Programming Shared-memory Many-core Systems using Parallel Task Composition [PDF]
, 2013 We present the Glasgow Parallel Reduction Machine (GPRM), a novel, flexible framework for parallel task-composition based many-core programming. We allow the programmer to structure programs into task code, written as C++ classes, and communication code,
Tousimojarad, Ashkan +1 more
core +7 more sources
Journal of Open Source Software, 2021 A series of machine learning algorithms has been implemented and bundled together with several “utility” functions in a single package for the Julia programming language.
A. Lobianco
semanticscholar +1 more source