Results 1 to 10 of about 31,264 (268)
SymForce: Symbolic Computation and Code Generation for Robotics [PDF]
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
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Parameters Determination of PV Cell Using Computation Methods
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
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Learning Computer Science Languages in Enki [PDF]
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
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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]
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
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]
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
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
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.
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Data science as a language: challenges for computer science—a position paper [PDF]
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 ...
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