Results 71 to 80 of about 546,227 (357)

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

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

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

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  

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

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

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

Advanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer, Muhammad Hassan Razzaq, Mehmet Fatih Aycan, Yogendra Kumar Mishra   +3 more
wiley   +1 more source

PyBrook—A Python framework for processing and visualising real-time data

SoftwareX
In this paper, we present PyBrook - an original real-time cloud computing framework for the Internet of Things. PyBrook enables users to define complex data processing models declaratively, using the Python programming language.
Michał Rokita, Mateusz Modrzejewski, Przemysław Rokita   +2 more
doaj   +1 more source

PRACTICAL APPROACH FOR HYPERSPECTRAL IMAGE PROCESSING IN PYTHON [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, such as Spectral Python and HyperSpy, but there is a ...
L. Annala, M. A. Eskelinen, J. Hämäläinen, A. Riihinen, I. Pölönen   +4 more
doaj   +1 more source

Quasar: A Programming Framework for Rapid Prototyping [PDF]

, 2016
We present a new programming framework, Quasar, which facilitates GPU programming. Our high-level programming language relieves the developer of all implementation details such that he can focus on the algorithm and the required accuracy.
De Vylder, Jonas, Goossens, Bart
core   +1 more source