Zobrazeno 1 - 10
of 309
pro vyhledávání: '"Kokash A"'
Autor:
Kokash, Natallia, Colavizza, Giovanni
Wikipedia is an essential component of the open science ecosystem, yet it is poorly integrated with academic open science initiatives. Wikipedia Citations is a project that focuses on extracting and releasing comprehensive datasets of citations from
Externí odkaz:
http://arxiv.org/abs/2406.19291
Autor:
Kokash, Natallia, Makhnist, Leonid
In this paper, we address an issue of finding explainable clusters of class-uniform data in labelled datasets. The issue falls into the domain of interpretable supervised clustering. Unlike traditional clustering, supervised clustering aims at formin
Externí odkaz:
http://arxiv.org/abs/2307.08104
Autor:
Kokash, Hussein1 (AUTHOR) hkokash@umich.edu, Khanafer, Khalil1 (AUTHOR) khanafer@umich.edu, Burzo, Mihai1 (AUTHOR)
Publikováno v:
Energies (19961073). Oct2024, Vol. 17 Issue 20, p5220. 16p.
Publikováno v:
Journal of Data Mining & Digital Humanities, 2023 (March 13, 2023) jdmdh:9380
The digital transformation of the scientific publishing industry has led to dramatic improvements in content discoverability and information analytics. Unfortunately, these improvements have not been uniform across research areas. The scientific lite
Externí odkaz:
http://arxiv.org/abs/2204.10766
Publikováno v:
In International Journal of Solids and Structures 1 December 2024 305
Publikováno v:
In Neuroscience 12 November 2024 560:143-157
Publikováno v:
Energies, Vol 17, Iss 20, p 5220 (2024)
Machine learning-based predictions of heat transfer characteristics in lid-driven cavities are transforming the field of computational fluid dynamics (CFD). Lid-driven cavities are a fundamental problem in fluid mechanics, characterized by the motion
Externí odkaz:
https://doaj.org/article/233e8a29f84e40708be0c3a5ccb1636c
Autor:
Awiwi, Muhammad O., Kandemirli, Vedat Burak, Kokash, Diana, Hossain, Ferzana, Gjoni, Migena, Odisio, Erika, Ocazionez, Daniel, Ferguson, Emma, Hanna, Mina, Duran, Cihan
Publikováno v:
In Current Problems in Diagnostic Radiology September-October 2024 53(5):648-661
Autor:
Shah Alam, Syed, Ahmed, Saif, Ahmad Kokash, Husam, Shahed Mahmud, Md., Zafrin Sharnali, Sadia
Publikováno v:
In Electronic Commerce Research and Applications May-June 2024 65
Publikováno v:
Insurance Markets and Companies, Vol 14, Iss 1, Pp 46-58 (2023)
This study examines the factors and issues affecting the adoption of electronic insurance (EI) in the Jordanian insurance sector. The methodology of the study is based on convenience sampling, thus, the sample consists of 175 respondents familiar wit
Externí odkaz:
https://doaj.org/article/5664fb8a84a34b52861fae86f818d3c3