Zobrazeno 1 - 10
of 1 155
pro vyhledávání: '"data normalization"'
Autor:
Bayan Alabduallah, Mohammed Maray, Nuha Alruwais, Rana Alabdan, Abdulbasit A. Darem, Fouad Shoie Alallah, Raed Alsini, Ayman Yafoz
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 654-663 (2024)
Cyberattack classification involves applying deep learning (DL) and machine learning (ML) models to categorize digital threats based on their features and behaviors. These models examine system logs, network traffic, or other associated data patterns
Externí odkaz:
https://doaj.org/article/d17c6852d17f49b6a0a4b75441c4c063
Publikováno v:
Stats, Vol 7, Iss 3, Pp 967-983 (2024)
This study evaluates the symmetry of data distributions after normalization, focusing on various statistical tests, including a few explored test named Rp. We apply normalization techniques, such as variance stabilizing transformations, to ribonuclei
Externí odkaz:
https://doaj.org/article/88f5e3418acf44cdaaf22b7af2fc02cb
Publikováno v:
Sustainable Development and Engineering Economics, Iss 2, Pp 8-23 (2024)
The contemporary information landscape is characterised by a huge amount of data available for analysis using a variety of research tools and methods. Considering the limitations of using individual models and methods, it is worth employing an approa
Externí odkaz:
https://doaj.org/article/605a386b4b37499e93bbba9c4330cd31
Publikováno v:
JISKA (Jurnal Informatika Sunan Kalijaga), Vol 9, Iss 3 (2024)
This study investigates four normalization methods (Min-Max, Z-Score, Decimal Scaling, MaxAbs) across prostate, kidney, and heart disease datasets for K-Nearest Neighbor (K-NN) classification. Imbalanced feature scales can hinder K-NN performance, ma
Externí odkaz:
https://doaj.org/article/1b0c03e05a5b4151bc32b0f78a267e8e
Autor:
Bui Cong Giao, Duong Tuan Anh
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 02, Pp 241-274 (2024)
Subsequence join in time series is to search for couples of similar subsequences from multiple time series. The task is useful in data mining on time series; nevertheless, it is extremely difficult because of its enormous computational cost. The task
Externí odkaz:
https://doaj.org/article/33d1d821c5e34197a26028e4f5b51245
Autor:
Daniar Aizhulov, Maksat Kurmanseiit, Nurlan Shayakhmetov, Madina Tungatarova, Ainur Suleimenova
Publikováno v:
Scientific Journal of Astana IT University, Pp 5-15 (2024)
The work presents an approach to enhance the forecasting capabilities of In-Situ Leaching processes during both the production stage and early prognosis. ISL, a crucial method for resource extraction, demands rapid on-site forecasting to guide the de
Externí odkaz:
https://doaj.org/article/5c899cf102404dc48c1f9bfae0cbe16f
Autor:
Aleksandr Y. Dubinin
Publikováno v:
Безопасность информационных технологий, Vol 31, Iss 1, Pp 120-134 (2024)
At the current stage of information technology development, a key trend is the use of machine learning algorithms in the information security field. The relevance of our research is determined by the importance of identifying vulnerabilities and the
Externí odkaz:
https://doaj.org/article/c9c655612449465281b5b5ae05a6d360
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100324- (2024)
Cervical cancer is a significant public health concern among females worldwide. Despite being preventable, it remains a leading cause of mortality. Early detection is crucial for successful treatment and improved survival rates. This study proposes a
Externí odkaz:
https://doaj.org/article/310ade74e9b84b26a38d4bc479b1cdc5
Autor:
Bartlomiej Kizielewicz, Andrii Shekhovtsov, Jakub Wieckowski, Jaroslaw Watrobski, Wojciech Salabun
Publikováno v:
IEEE Access, Vol 12, Pp 157083-157106 (2024)
Data normalization is a fundamental part of preprocessing in decision-making problems. It enables aggregating and comparing different decision attributes using Multi-Criteria Decision Making (MCDM) methods. However, the choice of normalization techni
Externí odkaz:
https://doaj.org/article/1ec23f9900fe4942a5a3ca5efebe7305
Autor:
Jun Sun, Yinglin Xia
Publikováno v:
Genes and Diseases, Vol 11, Iss 3, Pp 100979- (2024)
Metabolomics as a research field and a set of techniques is to study the entire small molecules in biological samples. Metabolomics is emerging as a powerful tool generally for precision medicine. Particularly, integration of microbiome and metabolom
Externí odkaz:
https://doaj.org/article/a20b4ff59cc046228a703d31d8201b4b