Results 61 to 70 of about 553,685 (362)

PYTHON IN ORDINARY DIFFERENTIAL EQUATIONS LEARNING

Barekeng
Using software in mathematics learning can improve students' soft and hard mathematics skills at the high school and college levels. Therefore, using software in the learning process is important, including in learning Differential Equations.
Sigit Sugiarto, John Nandito Lekitoo, Ratnah Kurniati MA   +2 more
doaj   +1 more source

Algorithmic Programming Language Identification [PDF]

, 2011
Motivated by the amount of code that goes unidentified on the web, we introduce a practical method for algorithmically identifying the programming language of source code. Our work is based on supervised learning and intelligent statistical features.
Klein, David, Murray, Kyle, Weber, Simon
core  

USING THE PYTHON PROGRAMMING LANGUAGE IN SIMULATION MODELING

Chronos, 2022
This article discusses the use of the Python programming language in simulation modeling. Examples of areas where these models are used are given, as well as simple listings of programs used for data analytics and simulation modeling are considered by example. The forecast about the future development of simulation modeling systems is given.
Egor Maksimovich Badika, Dmitry Aleksandrovich Zyryanov, Sergey Gennadievich Babchinetsky   +2 more
openaire   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

A Proposal of Naturalistic Software Development Method [PDF]

Journal of Universal Computer Science
Naturalistic programming purports to include natural language elements in programming languages to increase software expressiveness. Even though natural language is inherently ambiguous, it is richer and thus more expressive than any artificial language.
Lizbeth Alejandra Hernández-González, Ulises Juárez-Martínez, Jezreel Mejía, Alberto Aguilar-Laserre   +3 more
doaj   +3 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Why do biomedical researchers learn to program? An exploratory investigation

Journal of the Medical Library Association, 2020
Objective: As computer programming becomes increasingly important in the biomedical sciences and more libraries offer programming classes, it is crucial for librarians to understand how researchers use programming in their work.
Ariel Deardorff
doaj   +1 more source

Object Detection with a Webcam Using the Python Programming Language

Journal of Applied Engineering and Technological Science, 2021
Technology developed rapidly along the times, various ways are done to make works easier. One of them is by utilizing artificial intelligence, likes the use of a webcam as a sensor in detecting an object through several stages of image processing.
Ali Basrah Pulungan, Zhafranul Nafis, Muhammad Anwar, Hastuti, Hamdani, Dwiprima Elvanny Myori -   +5 more
doaj   +1 more source

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests [PDF]

, 2018
The last improvements in programming languages, programming models, and frameworks have focused on abstracting the users from many programming issues.
Amela, Ramon, Badia, Rosa M., Clauss, Philippe, Ejarque, Jorge, Ramon-Cortes, Cristian   +4 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source