Results 1 to 10 of about 31,264 (268)

SymForce: Symbolic Computation and Code Generation for Robotics [PDF]

open access: yesRobotics: Science and Systems, 2022
We present SymForce, a library for fast symbolic computation, code generation, and nonlinear optimization for robotics applications like computer vision, motion planning, and controls.
Hayk Martiros   +15 more
semanticscholar   +1 more source

Parameters Determination of PV Cell Using Computation Methods

open access: yesJournal of Al-Qadisiyah for Computer Science and Mathematics, 2021
This paper describes two algorithms Newton's algorithm and Improved Newton-Horner algorithm for solving non-linear equation of an electrical circuit of a PV cell. In these algorithms, an approximated solution is assumed; then the assumed solution is used
M. Rasheed   +3 more
semanticscholar   +1 more source

Learning Computer Science Languages in Enki [PDF]

open access: yesProceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016
This paper presents an overview and main features of Enki, a web-based learning environment for computer science languages. Enki was designed to be a sort of entry level IDE, aggregating tools for navigating and viewing course materials, for solving exercises and receiving automated feedback, as well as promoting the learning process.
Paiva, José Carlos   +2 more
openaire   +2 more sources

An Overview of a State of the Art on Developing Soft Computing-Based Language Education and Research Systems: A Survey of Engineering English Students in Uzbekistan

open access: yesInternational Conference on Future Networks and Distributed Systems, 2021
This manuscript presents a state of –the –art overview on developing soft computing-based intelligent systems relevant to language education and research to inspire technology-savvy teacher-researchers to create their interactive tools.
Oybek Eshbayev   +2 more
semanticscholar   +1 more source

Julia: A Fresh Approach to Numerical Computing [PDF]

open access: yesSIAM Review, 2014
Bridging cultures that have often been distant, Julia combines expertise from the diverse fields of computer science and computational science to create a new approach to numerical computing.
Jeff Bezanson   +3 more
semanticscholar   +1 more source

Sparcl: a language for partially-invertible computation

open access: yesJournal of functional programming, 2020
Invertibility is a fundamental concept in computer science, with various manifestations in software development (serializer/deserializer, parser/printer, redo/undo, compressor/decompressor, and so on). Full invertibility necessarily requires bijectivity,
Kazutaka Matsuda, Meng Wang
semanticscholar   +1 more source

ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs [PDF]

open access: yesProc. ACM Program. Lang., 2022
Optimizing the expected values of probabilistic processes is a central problem in computer science and its applications, arising in fields ranging from artificial intelligence to operations research to statistical computing.
Alexander K. Lew   +3 more
semanticscholar   +1 more source

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

open access: yesBalkan Medical Journal, 2022
In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tasks that are typically performed by humans. The techniques that allow machines to learn and get better at tasks such as recognition and prediction, which ...
B. Koçak   +4 more
semanticscholar   +1 more source

IT LANGUAGE AND COMPUTER SCIENCE

open access: yes, 2023
In this article, the main purpose of teaching students in the middle school to clarify personal skills of every student, giving them proper education, life enhancing innovative technological world. Principal goal is to teach students to speak fluently in English, writing and reading comprehension skills.
openaire   +1 more source

Data science as a language: challenges for computer science—a position paper [PDF]

open access: yesInternational Journal of Data Science and Analytics, 2018
In this paper, I posit that from a research point of view, Data Science is a language. More precisely Data Science is doing Science using computer science as a language for datafied sciences; much as mathematics is the language of, e.g., physics. From this viewpoint, three (classes) of challenges for computer science are identified; complementing the ...
openaire   +2 more sources

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