Zobrazeno 1 - 10
of 7 065
pro vyhledávání: '"Gaussian Process Regression"'
Autor:
Jin, Bingzi, Xu, Xiaojie
Publikováno v:
Journal of Modelling in Management, 2024, Vol. 19, Issue 6, pp. 1927-1958.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JM2-12-2023-0315
Autor:
Ahmad J. Obaidullah, Wael A. Mahdi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This study investigates the application of various regression models for predicting drug solubility in polymer and API-polymer interactions in complex datasets. Four models—Gaussian Process Regression (GPR), Support Vector Regression (SVR)
Externí odkaz:
https://doaj.org/article/9f19df72f7c44b12a788928f1773cbbf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Controlled release of a desired drug from porous polymeric biomaterials was analyzed via computational method. The method is based on simulation of mass transfer and utilization of artificial intelligence (AI). This study explores the effica
Externí odkaz:
https://doaj.org/article/41ad13b1e98b4780aabd80a3a0e6321b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Remaining useful life (RUL) is a key indicator for assessing the health status of lithium (Li)-ion batteries, and realizing accurate and reliable RUL prediction is crucial for the proper operation of battery systems. As high-capacity Li batt
Externí odkaz:
https://doaj.org/article/310fe44641a249579dbe1ec095de6f5f
Publikováno v:
Journal of Asian Ceramic Societies, Vol 12, Iss 4, Pp 306-321 (2024)
A statistically designed property database of six commercial glass families is leveraged to develop models relating viscosity to temperature and composition. Specialized models for each glass family were designed based on the Adam–Gibbs equation. W
Externí odkaz:
https://doaj.org/article/aeaf48ba38024365b8f7908703add253
Publikováno v:
International Journal of Transportation Science and Technology, Vol 15, Iss , Pp 244-259 (2024)
This study develops and evaluates models to estimate annual average daily traffic (AADT) at non-coverage or out-of-network locations. The non-coverage locations are those where counts are performed very infrequently, but an up-to-date and accurate es
Externí odkaz:
https://doaj.org/article/66eca2a9522644528434ac09027128c5
Autor:
Jianli Shi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Maintaining the quality and integrity of frozen goods throughout the supply chain necessitates a robust and efficient cold chain logistics network. This research proposes a machine learning-based method for optimizing such networks, resultin
Externí odkaz:
https://doaj.org/article/2b0c3b61ab314c6daf8a419703c20963
Autor:
Xiaoyu Sun
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 6, Pp 1219-1231 (2024)
Effectively controlling the heating load (HL) in residential buildings is a vital component of energy conservation and sustainability. This abstract presents a new methodology for predicting HL by incorporating Gaussian Process Regression (GPR) and h
Externí odkaz:
https://doaj.org/article/aaf4a008ec494584ab5578946d1968a5
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7845-7861 (2024)
Abstract Injection molding is a pivotal industrial process renowned for its high production speed, efficiency, and automation. Controlling the motion speed of injection molding machines is a crucial factor that influences production processes, direct
Externí odkaz:
https://doaj.org/article/28eddf032fbc431b8ab08bed87295385