Zobrazeno 1 - 10
of 581
pro vyhledávání: '"feature selection (fs)"'
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:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15702-15720 (2024)
Vegetation plays a crucial role in terrestrial ecosystems, especially in its influence on shallow landslide occurrences. However, in landslide-prone regions, such as the Xiazangtan area in the upper reaches of the Yellow River, sparse and fragmented
Externí odkaz:
https://doaj.org/article/bb25eca9cdaf46fcbf51980b7ba06473
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-17 (2024)
Abstract The diagnosis of faults in grid-connected photovoltaic (GCPV) systems is a challenging task due to their complex nature and the high similarity between faults. To address this issue, we propose a wrapper approach called the salp swarm algori
Externí odkaz:
https://doaj.org/article/54445f84562c4d7caf2ca7d1c9911bfc
Publikováno v:
IEEE Access, Vol 12, Pp 28621-28635 (2024)
The increased utilization of digital instruments like smartphones, Internet of Things (IoT) sensors, cameras, and microphones has resulted in extensive amounts of big data. Inherent challenges associated with big data include significant data dimensi
Externí odkaz:
https://doaj.org/article/e51406d1739048009d891522cc8b8336
Publikováno v:
Sensors, Vol 24, Iss 19, p 6179 (2024)
The fast growth of the Internet has made network security problems more noticeable, so intrusion detection systems (IDSs) have become a crucial tool for maintaining network security. IDSs guarantee the normal operation of the network by tracking netw
Externí odkaz:
https://doaj.org/article/ea6b51601c084313aeba0096ca1760ba
Autor:
Naka Edjola
Publikováno v:
Cybernetics and Information Technologies, Vol 23, Iss 4, Pp 91-109 (2023)
A novel proposed Binary Volleyball Premier League algorithm (BVPL) has shown some promising results in a Parkinson’s Disease (PD) dataset related to fitness and accuracy [1]. This paper evaluates and provides an overview of the efficiency of BVPL i
Externí odkaz:
https://doaj.org/article/043f2252ed614c7788edc4550f24c9fe
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
Publikováno v:
Sensors, Vol 24, Iss 13, p 4344 (2024)
As 5G technology becomes more widespread, the significant improvement in network speed and connection density has introduced more challenges to network security. In particular, distributed denial of service (DDoS) attacks have become more frequent an
Externí odkaz:
https://doaj.org/article/eae41a158f0c4797892189f6f673111f
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1182 (2024)
This study, utilizing high-throughput technologies and Machine Learning (ML), has identified gene biomarkers and molecular signatures in Inflammatory Bowel Disease (IBD). We could identify significant upregulated or downregulated genes in IBD patient
Externí odkaz:
https://doaj.org/article/1a1e81f82f30458ab2e1fc79f3680c72