Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Amr A. Abohany"'
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 171-192 (2024)
Fraud detection in banking systems is crucial for financial stability, customer protection, reputation management, and regulatory compliance. Machine Learning (ML) is vital in improving data analysis, real-time fraud detection, and developing fraud t
Externí odkaz:
https://doaj.org/article/aaa78269fdc941e3923c5dab5ee9057b
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-38 (2024)
Abstract As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly and accurately is crucial because they can cause severe dama
Externí odkaz:
https://doaj.org/article/c51d6368264e436a9feef175f66d34ea
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-75 (2024)
Abstract RNA Sequencing (RNA-Seq) has been considered a revolutionary technique in gene profiling and quantification. It offers a comprehensive view of the transcriptome, making it a more expansive technique in comparison with micro-array. Genes that
Externí odkaz:
https://doaj.org/article/fdb19399eec2450b8bc83bc4fa23ac15
An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-41 (2024)
Abstract Online platforms and social networking have increased in the contemporary years. They are now a major news source worldwide, leading to the online proliferation of Fake News (FNs). These FNs are alarming because they fundamentally reshape pu
Externí odkaz:
https://doaj.org/article/559e42042942433787853298e895bd9d
Publikováno v:
IEEE Access, Vol 12, Pp 126389-126414 (2024)
The healthcare sector faces intricate challenges that demand innovative solutions to enhance patient outcomes and streamline operations. The advent of Artificial Intelligence (AI) has unleashed groundbreaking potential in numerous healthcare domains,
Externí odkaz:
https://doaj.org/article/50f332f326804a3d9feb20d1fb4ef42e
Publikováno v:
Neutrosophic Sets and Systems, Vol 57, Pp 272-282 (2023)
Wheat has had a substantial influence on the food security of a number of different nations. In addition, governments are grappling with a number of difficulties, such as fast population expansion, a lack of available water, growing urbanization, and
Externí odkaz:
https://doaj.org/article/dac08a913b444197a6c5677fffee52c6
Publikováno v:
Neutrosophic Sets and Systems, Vol 57, Pp 306-317 (2023)
This research was conducted with the intention of determining which scenario for the construction of an intelligent reverse logistics system had the most potential for success. This selection would then be used as a reference point for decision-makin
Externí odkaz:
https://doaj.org/article/62b0a340ba744c3185f15852839e55d3
Publikováno v:
Algorithms, Vol 17, Iss 8, p 342 (2024)
This study presents a novel method, termed RBAVO-DE (Relief Binary African Vultures Optimization based on Differential Evolution), aimed at addressing the Gene Selection (GS) challenge in high-dimensional RNA-Seq data, specifically the rnaseqv2 llumi
Externí odkaz:
https://doaj.org/article/6efd5ed22d594a15bb2bfd1d2b9f4e07
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2364 (2024)
Feature selection (FS) is a crucial phase in data mining (DM) and machine learning (ML) tasks, aimed at removing uncorrelated and redundant attributes to enhance classification accuracy. This study introduces an improved binary crayfish optimization
Externí odkaz:
https://doaj.org/article/948b7d0e96f44039895ab8711d6b4d97
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2250 (2024)
This study addresses the critical challenge of data imbalance in credit card fraud detection (CCFD), a significant impediment to accurate and reliable fraud prediction models. Fraud detection (FD) is a complex problem due to the constantly evolving t
Externí odkaz:
https://doaj.org/article/76761bd686c74362afd079295d3b16a4