Zobrazeno 1 - 10
of 14 506
pro vyhledávání: '"Adaboost"'
Autor:
Djordje Mladenovic, Milos Antonijevic, Luka Jovanovic, Vladimir Simic, Miodrag Zivkovic, Nebojsa Bacanin, Tamara Zivkovic, Jasmina Perisic
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)
Abstract This study examines the formidable and complex challenge of insider threats to organizational security, addressing risks such as ransomware incidents, data breaches, and extortion attempts. The research involves six experiments utilizing ema
Externí odkaz:
https://doaj.org/article/9bf627b47654456198370d38bdcbab87
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 6, Pp 1291-1301 (2024)
Making accurate predictions of the construction cost is essential for ensuring the smooth implementation of projects and guaranteeing economic benefits. The problem to be studied in this article is how to predict construction project costs accurately
Externí odkaz:
https://doaj.org/article/948bf25a542a4eb899e26b43e81bd561
Autor:
Waleed Bin Inqiad, Muhammad Faisal Javed, Kennedy Onyelowe, Muhammad Shahid Siddique, Usama Asif, Loai Alkhattabi, Fahid Aslam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight structures like cut-off walls in dams, etc., because it offers high plasticity, improved workability, and homogeneity. Also, bentonite is added to concre
Externí odkaz:
https://doaj.org/article/52bb8e4b8c534a679f9871d22a21ef13
Autor:
Xiangchun Yu, Guoliang Xiong, Jianqing Wu, Jian Zheng, Miaomiao Liang, Liujin Qiu, Lingjuan Yu, Qing Xu
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6787-6804 (2024)
Abstract Knowledge Distillation has shown promising results for classifying skin lesions in dermatology images. Traditional knowledge distillation typically involves the student model passively mimicking the teacher model's knowledge. We propose util
Externí odkaz:
https://doaj.org/article/2c246494331b4a43a26945cc8569ca91
Autor:
Brygała Magdalena, Korol Tomasz
Publikováno v:
Economics and Business Review, Vol 10, Iss 2, Pp 118-142 (2024)
It has become crucial to have an early prediction model that provides accurate assurance for users about the financial situation of consumers. Recent studies have focused on predicting corporate bankruptcies and credit defaults, not personal bankrupt
Externí odkaz:
https://doaj.org/article/e11175e7570140388bdbe92e32e9832b
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Pp 419-430 (2024)
The planning of tall buildings is an important part of urban growth, and more and more attention is being paid to sustainability, safety, and efficiency in the building process. Traditional design and manufacturing processes frequently have trouble m
Externí odkaz:
https://doaj.org/article/a7ae0dacc0904aef816b284458cf8005
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In this paper, the maximal information coefficient method-variational mode decomposition-bidirectional long short term memory network-adaptive boosting (MIC-VMD-Bi-LSTM-Adaboost) algorithm is used to forecast the power load. Firstly, MIC is used to d
Externí odkaz:
https://doaj.org/article/786ab086cfa24a0aaa64558cc7a154de
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104156- (2024)
Biophysical changes in the Arctic and boreal zones drive shifts in vegetation, such as increasing shrub cover from warming soil or loss of living mat species due to fire. Understanding current and future responses to these factors requires mapping ve
Externí odkaz:
https://doaj.org/article/95dc9a97fa8544f6a740938663d5d313
Autor:
Guang-yao Zhao, Kenji Ohsu, Henry Kasmanhadi Saputra, Teruhisa Okada, Jumpei Suzuki, Yuji Kuwahara, Masafumi Fujita
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102373- (2024)
To improve the interpretability of estimation processes in machine learning, we applied the Shapley additive explanation method to six tree-based models for predicting downstream salinity. Decision tree-based adaptive boosting (AdaBoost) demonstrated
Externí odkaz:
https://doaj.org/article/47c122031d564a8aa4475f54a6c68e23
Autor:
Tchokogoué Thierry, Noumsi Auguste Vigny, Atemkeng Marcellin, Fonkou Michèle Flore Yimga, Fono Louis Aimé
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 31-66 (2024)
Early diagnosis of maize-plant phytosanitary state in the field is crucial to prevent crop damage and optimize yield. However, this field diagnosis presents a challenge due to the variable background of the field environment, which can hinder the per
Externí odkaz:
https://doaj.org/article/6ad01d1bf7bb4454952e3e394b17f393