Zobrazeno 1 - 10
of 2 298
pro vyhledávání: '"Random Forest Regression"'
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-25 (2024)
Abstract Modeling implied volatility (IV) is important for option pricing, hedging, and risk management. Previous studies of deterministic implied volatility functions (DIVFs) propose two parameters, moneyness and time to maturity, to estimate implie
Externí odkaz:
https://doaj.org/article/8e6dd346ed8b40818e5f112310bf13da
Autor:
Jianbo DAI, Zhongbin WANG, Yan ZHANG, Lei SI, Dong WEI, Wenbo ZHOU, Jinheng GU, Xiaoyu ZOU, Yuyu SONG
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 7, Pp 209-221 (2024)
In the field of drilling in coal mine underground, drilling rate (DR) is one of the most effective indicators for assessing drilling operations. Accurate prediction of DR is a prerequisite for the realization of intelligent drilling in coal mines, wh
Externí odkaz:
https://doaj.org/article/8e8f469d8a2c449f8ae4511179bbda79
Autor:
Marwa Hassan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Renewable microgrids enhance security, reliability, and power quality in power systems by integrating solar and wind sources, reducing greenhouse gas emissions. This paper proposes a machine learning approach, leveraging Gaussian Process (GP
Externí odkaz:
https://doaj.org/article/ca7da794575c42eab83a183a74756a31
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Accurate mapping of above-ground biomass (AGB) is essential for carbon stock quantification and climate change impact assessment, particularly in mountainous areas. This study applies a random forest (RF) regression model to predict the spatial distr
Externí odkaz:
https://doaj.org/article/b7295a3b01f84b569878326391ef7cf0
Autor:
Ruixue Fan, Yangyang Wu, Qiwei Chen, Youjin Wang, Lianjin Li, Dongyu Shi, Rong Xu, Yuting Xia, Yuting Cheng
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
Urban heat island (UHI) has posed a threat to sustainable development, and the identification of the spatial characteristics of UHI is a prerequisite for the mitigation of UHI effects. Taking Kunming City and Guiyang City in the karst region of South
Externí odkaz:
https://doaj.org/article/8cffd18a09f44ad9a3383ce5a517e5c2
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 3 (2024)
Paddy is a major crop in India which is highly affected by the weather variables resulting in drastic reduction of its yield; adverse all the variables drastically reduce the paddy yield. In this research, machine learning model was developed for pre
Externí odkaz:
https://doaj.org/article/441dc6c043324b94b6cd363046fa0dc3
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112531- (2024)
Ecosystem services (ES), which serve as the link between human activities and natural ecosystems, are crucial for maintaining ecological balance and supporting economic development. The Ecosystem Services Value (ESV) is an indicator used to quantifyi
Externí odkaz:
https://doaj.org/article/d58b56d17ebc4a60a608c9988a050a55
Autor:
Ilaria Rigo, Rachele Bordoni, Federico Betti, Giulia Dapueto, Francesco Massa, Chiara Paoli, Paolo Povero, Francesca Ruggeri, Paolo Vassallo
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112387- (2024)
Coastal marine ecosystems are among the most productive ecosystems worldwide, providing essential resources both for the environment itself and for human life. This is the case of the Ligurian Sea, rich in marine biodiversity that characterizes a val
Externí odkaz:
https://doaj.org/article/19591012c15440b4bb1b859509cb26df
Publikováno v:
Alexandria Engineering Journal, Vol 95, Iss , Pp 101-113 (2024)
In light of the extensive contamination of water sources by microplastics, their substantial specific surface area makes them favorable candidates as adsorbents for the simultaneous removal of coexisting contaminants in wastewater. In this regard, po
Externí odkaz:
https://doaj.org/article/442c948fd108472e93bd725217965d6b
Autor:
Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, Phathutshedzo Eugene Ratshiedana, Sipho Sibanda, Johannes George Chirima
Publikováno v:
AgriEngineering, Vol 6, Iss 2, Pp 1093-1116 (2024)
Monitoring crop height during different growth stages provides farmers with valuable information important for managing and improving expected yields. The use of synthetic aperture radar Sentinel-1 (S-1) and Optical Sentinel-2 (S-2) satellites provid
Externí odkaz:
https://doaj.org/article/726a32a2468c4de19dc2e7790cb4c988