Zobrazeno 1 - 10
of 3 443
pro vyhledávání: '"machine learning algorithm"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a considerably higher risk of mortality than the g
Externí odkaz:
https://doaj.org/article/b5cac5370e794f32b6007adefa2a490d
Autor:
Yang Meng, Qiang Xu, Guangqing Chen, Jianjun Liu, Shuoye Zhou, Yanling Zhang, Aiguo Wang, Jianwei Wang, Ding Yan, Xianjie Cai, Junying Li, Xuchu Chen, Qiuying Li, Qiang Zeng, Weimin Guo, Yuanhui Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Color is one of the most important indicators to characteristic the quality of tobacco, which is strongly related to the variations of chemical components. In order to clarify the relationship between the changes of tobacco color and chemica
Externí odkaz:
https://doaj.org/article/f6f1d9c3d5364b72b13f13de15dad8c1
Publikováno v:
UHD Journal of Science and Technology, Vol 8, Iss 2, Pp 38-49 (2024)
This is a broad survey that investigates the use of machine learning (ML) methods for detecting distributed denial of service (DDoS) attacks. Traditional intrusion detection systems face difficulties in application-layer DDoS attacks because they tar
Externí odkaz:
https://doaj.org/article/0558ba174f0942af807289d319b06ffa
Autor:
Thuy Phuong Nguyen, Phuc Khoa Nguyen, Huu Ngu Nguyen, Thanh Duc Tran, Gia Tung Pham, Thai Hung Le, Dinh Huy Le, Trung Hai Nguyen, Van Binh Nguyen
Publikováno v:
Forest Science and Technology, Pp 1-13 (2024)
The combination of machine learning models with satellite imagery is becoming a popular data-modeling tool for biomass prediction, supporting land cover management. This study aims to select the most suitable model to estimate tropical forest abovegr
Externí odkaz:
https://doaj.org/article/f0dbd396400549b1b4a17c97d6caaa96
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Single-vehicle crashes, particularly those caused by speeding, result in a disproportionately high number of fatalities and serious injuries compared to other types of crashes involving passenger vehicles. This study aims to identify factors
Externí odkaz:
https://doaj.org/article/c5bc0ba0446541459634d3a592f287c1
Publikováno v:
Nano-Micro Letters, Vol 17, Iss 1, Pp 1-17 (2024)
Highlights Fully organic and passive tactile sensors are developed via mimicking the sensing behavior of natural sensory cells. Controllable polarizability of conjugated polymers is adopted for the first time to construct passive tactile sensors. Mac
Externí odkaz:
https://doaj.org/article/5ebf3b41b4cf45599f101024de5790b8
Publikováno v:
BMC Chemistry, Vol 18, Iss 1, Pp 1-22 (2024)
Abstract In order to explore the role of topological indices for predicting physio-chemical properties of anti-HIV drugs, this research uses python program-based algorithms to compute topological indices as well as machine learning algorithms. Degree
Externí odkaz:
https://doaj.org/article/dc632b74b18b42c1a0d8d9d41fe1ce6b
Publikováno v:
Regional Studies, Regional Science, Vol 11, Iss 1, Pp 496-522 (2024)
This research aimed to identify the principal factors predicting social welfare and inequality in the neighbourhoods of Madrid city. A comprehensive dataset representing various socioeconomic metrics of Madrid’s neighbourhoods is analysed utilising
Externí odkaz:
https://doaj.org/article/d2ed328bf9934d9e8a4f5836111469a6
Autor:
Sulistia Sulistia, Riyanto Riyanto, Pratondo Busono, Affandi Faisal Kurniawan, Joko Saefan, Wawan Kurniawan, Marlin Ramadhan Baidillah
Publikováno v:
Jurnal Elektronika dan Telekomunikasi, Vol 24, Iss 1, Pp 62-71 (2024)
Margin tissue detection during intraoperative laparoscopic liver resection (LLR) is required to prevent tumor recurrence and reduce the likelihood of further surgery. This study proposes an electrical impedance spectroscopy (EIS) method for margin ti
Externí odkaz:
https://doaj.org/article/7255acee87da4fae8bb53305d062edd2
Autor:
Xiaochen Gu, Ping Huang, Xiaohua Xu, Zhicheng Zheng, Kaiju Luo, Yujie Xu, Yizhen Jia, Yongjin Zhou
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Fetal macrosomia is associated with maternal and newborn complications due to incorrect fetal weight estimation or inappropriate choice of delivery models. The early screening and evaluation of macrosomia in the third trimester can improve d
Externí odkaz:
https://doaj.org/article/1d3946bef3b442a88ab5cd6172f882ff