Zobrazeno 1 - 10
of 5 355
pro vyhledávání: '"Hyperparameter Optimization"'
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:
Pilar Nusa Mandiri, Vol 20, Iss 2, Pp 103-110 (2024)
Climate change and increasing global temperatures have increased the frequency and intensity of forest fires, making fire risk evaluation increasingly important. This study aims to improve the accuracy of predicting forest fuel drought conditions (Dr
Externí odkaz:
https://doaj.org/article/44802a6a7dcf4196b6d60e99fecf3252
Autor:
Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro, Érick Oliveira Rodrigues
Publikováno v:
Forecasting, Vol 6, Iss 3, Pp 839-863 (2024)
Electricity expense management presents significant challenges, as this resource is susceptible to various influencing factors. In universities, the demand for this resource is rapidly growing with institutional expansion and has a significant enviro
Externí odkaz:
https://doaj.org/article/6e3488645b5844fe892a0ceeea136f4f
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 15, Iss 4, Pp 951-964 (2024)
The stochastic contextual bandit problem, recognized for its effectiveness in navigating the classic exploration-exploitation dilemma through ongoing player-environment interactions, has found broad applications across various industries. This utilit
Externí odkaz:
https://doaj.org/article/154a3e0a24d7485c9710d585e63af0dd
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 8, Pp 3221-3232 (2024)
Boosting algorithms have been widely utilized in the development of landslide susceptibility mapping (LSM) studies. However, these algorithms possess distinct computational strategies and hyperparameters, making it challenging to propose an ideal LSM
Externí odkaz:
https://doaj.org/article/6029f72b38414ba7887c01b27b78457c
Autor:
D. Jeyamani, P. Rukmani
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Rheumatoid Arthritis (RA) is an inflammation and auto-immune chronic condition affecting the entire body, mostly joints. If untreated, it can lead to joint pain and bone erosion. The main objective of this work is to develop a classification model th
Externí odkaz:
https://doaj.org/article/4d014eb3be7744aaa5bac11926b5303e
Publikováno v:
Transportation Engineering, Vol 18, Iss , Pp 100284- (2024)
The rapid growth of urbanization and motorization has significantly increased traffic crashes, leading to both loss of life and diminished quality of life for crash survivors and their families. Identifying the factors influencing crash fatality is c
Externí odkaz:
https://doaj.org/article/3373415eac284c63b913bf97f8bb2e91
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102908- (2024)
In the past decade, distribution system state estimation has become a crucial topic in power system research due to the increasing importance of distribution networks amidst the decline of centralized energy production. This paper addresses a gap in
Externí odkaz:
https://doaj.org/article/de8176f83f4b4029a3066058bc6c8fc1
Autor:
Xin Xiao, Yi Zou, Jiangcheng Huang, Xuan Luo, Luyi Yang, Meng Li, Pengwu Yang, Xuan Ji, Yungang Li
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
This study proposed an interpretable model that combines Random Forest (RF), Optuna hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal landslide susceptibility evaluation and provide explanations in the northwest
Externí odkaz:
https://doaj.org/article/a5390b6bdf8d4471915e95c4de5c494a
Autor:
Hamza Mubarak, Abdallah Abdellatif, Shameem Ahmad, Mohammad Zohurul Islam, S.M. Muyeen, Mohammad Abdul Mannan, Innocent Kamwa
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110206- (2024)
The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of the electricity market, shaping the decision-making processes of its stakeholders. Precise Electricity Price Forecasting (EPF) plays a pivotal role in
Externí odkaz:
https://doaj.org/article/e511ea89019b4b7b91fe4f8d707740b7