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pro vyhledávání: '"Alanoud Bin Dris"'
Autor:
Alhanoof Althnian, Duaa AlSaeed, Heyam Al-Baity, Amani Samha, Alanoud Bin Dris, Najla Alzakari, Afnan Abou Elwafa, Heba Kurdi
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 796 (2021)
Dataset size is considered a major concern in the medical domain, where lack of data is a common occurrence. This study aims to investigate the impact of dataset size on the overall performance of supervised classification models. We examined the per
Externí odkaz:
https://doaj.org/article/2e69e3e1ed494a69b1130651dd5d2d6c
Publikováno v:
2020 3rd International Conference on Computer Applications & Information Security (ICCAIS).
To accommodate the rapidly changing Internet requirements, Information-Centric Networking (ICN) was recently introduced as a promising architecture for the future Internet. One of the ICN primary features is ‘in-network caching’; due to its abili
Publikováno v:
ISNCC
Data size is a main issue in any data mining application, since limited size data results in a small training set that leads to a poor classification model and therefore a poor classification performance. Although, many real-life applications need a
Publikováno v:
2019 2nd International Conference on Computer Applications & Information Security (ICCAIS).
Autism Spectrum Disorder (ASD) is a mental disorder characterized by difficulties with socializing, repetitive behaviors, speech and non-verbal communication. It is diagnosed within the first three years of life. The earlier the diagnoses, the sooner