Zobrazeno 1 - 10
of 4 002
pro vyhledávání: '"Ensemble model"'
Autor:
Md. Alamin Talukder, Rakib Hossen, Md Ashraf Uddin, Mohammed Nasir Uddin, Uzzal Kumar Acharjee
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Financial institutions and businesses face an ongoing challenge from fraudulent transactions, prompting the need for effective detection methods. Detecting credit card fraud is crucial for identifying and preventing unauthorized transactions
Externí odkaz:
https://doaj.org/article/2a0b5858b25d47509c72441c284f3a88
Autor:
Muhammad Zeeshan Asaf, Hamid Rasul, Muhammad Usman Akram, Tazeen Hina, Tayyab Rashid, Arslan Shaukat
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Automated segmentation of biomedical image has been recognized as an important step in computer-aided diagnosis systems for detection of abnormalities. Despite its importance, the segmentation process remains an open challenge due to variati
Externí odkaz:
https://doaj.org/article/5a6ce2232a9a4353a546fb3358a11f55
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 3, pp. 523-548.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-11-2023-0336
Autor:
Ashutosh Ghimire, Fathi Amsaad
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1840-1856 (2024)
Machine learning models play a critical role in applications such as image recognition, natural language processing, and medical diagnosis, where accuracy and efficiency are paramount. As datasets grow in complexity, so too do the computational deman
Externí odkaz:
https://doaj.org/article/99e21adfd66544aa86d7be9cf0e4d421
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Shear strength (SS) parameters are essential for understanding the mechanical behavior of materials, particularly in geotechnical engineering and rock mechanics. This study proposes a novel hierarchical ensemble model (HEM) to predict SS par
Externí odkaz:
https://doaj.org/article/893db5a6e6b94c73baec9caa1ebfa372
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-17 (2024)
Abstract Background Timely prevention of major adverse cardiovascular events (MACEs) is imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose tissue (PVAT), the adipose tissue surrounding coronary arteries, has attra
Externí odkaz:
https://doaj.org/article/1f036842577649719255efd23152761e
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background Antioxidant proteins are involved in several biological processes and can protect DNA and cells from the damage of free radicals. These proteins regulate the body's oxidative stress and perform a significant role in many antioxida
Externí odkaz:
https://doaj.org/article/e5d6e48e3e9942829613f9b4b7b2312c
Autor:
Sambandh Bhusan Dhal, Rishabh Singh, Tushar Pandey, Sheelabhadra Dey, Stavros Kalafatis, Vivekvardhan Kesireddy
Publikováno v:
Analytics, Vol 3, Iss 3, Pp 276-296 (2024)
Sea level rise (SLR) is a crucial indicator of climate change, primarily driven by greenhouse gas emissions and the subsequent increase in global temperatures. The impact of SLR, however, varies regionally due to factors such as ocean bathymetry, res
Externí odkaz:
https://doaj.org/article/30d6964d2b044356b70d782f56840cf1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Concrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and time in design and prevents material waste from extensive mixture trials. Machine learning tec
Externí odkaz:
https://doaj.org/article/867cd2da4e6f4f9ebc1578d511e7c220
Autor:
Shewakena Teklegiorgis, Anteneh Belayneh, Kidane Gebermeskel, Gbenga Festus Akomolafe, Sintayehu W. Dejene
Publikováno v:
Geology, Ecology, and Landscapes, Pp 1-15 (2024)
Argemone mexicana L. is an invasive alien plant species (IAPS) that belongs to Papaveraceae family. This study aimed to identify and map its current and future (2050 and 2070) potential distribution in South Wollo, Ethiopia. Eight Kebeles were select
Externí odkaz:
https://doaj.org/article/f45b0fab9cf8423aa8296c3803d49fcf