2021
DOI: 10.1155/2021/5650499
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Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties

Abstract: Biodiesel is assumed a renewable and environmentally friendly fuel that possesses the potential to substitute petroleum diesel. The basic purpose of the present study is to design a precise algorithm based on Gaussian Process Regression (GPR) model with several kernel functions, i.e., Rational Quadratic, Squared Exponential, Matern, and Exponential, to estimate biodiesel properties. These properties include kinematic viscosity (KV), pour point (PP), iodine value (IV), and cloud point (CP) as a function of fatt… Show more

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Cited by 24 publications
(23 citation statements)
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References 39 publications
(44 reference statements)
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“…CCPLS employed a Gaussian kernel for calculating the neighboring cell-type score similar to the previous studies (Arnol et al, 2019;Dang et al, 2020). However, the other kernels such as Matern kernel or exponential kernel can be possible, whose implementations and evaluations are also an intended focus of our future work (Pustokhina et al, 2021). CCPLS selected dist0 as the minimum value of the Euclidean distance of all the combinations of i i "output" -2022/7/23 -3:14 -page 9 -#9 i i i i i i CCPLS: cell-cell communication analysis by PLS regression modeling two cells, while the other selection procedures may work.…”
Section: Discussionmentioning
confidence: 99%
“…CCPLS employed a Gaussian kernel for calculating the neighboring cell-type score similar to the previous studies (Arnol et al, 2019;Dang et al, 2020). However, the other kernels such as Matern kernel or exponential kernel can be possible, whose implementations and evaluations are also an intended focus of our future work (Pustokhina et al, 2021). CCPLS selected dist0 as the minimum value of the Euclidean distance of all the combinations of i i "output" -2022/7/23 -3:14 -page 9 -#9 i i i i i i CCPLS: cell-cell communication analysis by PLS regression modeling two cells, while the other selection procedures may work.…”
Section: Discussionmentioning
confidence: 99%
“…Innovation capacity of fisheries companies sector, but with increasing the comparative advantage of this sector, economic development has decreased by 0.033%, which indicates the value added has a comparative advantage for fisheries and fishing and a negative impact on Iran's economic development, which can be due to the significant role of other economic sectors compared to the fishing sector in the economic development of the provinces and lack of comparative advantage expertise in the fishing sector (Amirnejad et al, 2020;Gomes et al, 2019;Bennett et al, 2020;Pustokhina et al, 2021;Khorsandi et al, 2021). A study of the socio-economic effects of the coronavirus outbreak in the shrimp aquaculture globally shows that in Iran, approximately 121,000 tons of Iranian seafood worth more than $ 390 million were exported to world markets last year; these products were mainly exported to the European Union, the countries bordering the Persian Gulf, Iraq, Afghanistan, Russia, Vietnam, Malaysia, and Thailand.…”
Section: /15mentioning
confidence: 99%
“…Most of these methods extract various types of information from text. Some research [7][8][9][10][11][12][13][14] employed lexical features such lexicon, Bag of words (BoW), N-gram, and Term Frequency-Invert Document Frequency (TF-IDF). For instance, Vandersmissen [7] used BoW and N-gram to detect just two categories of offensive language -sexual and racist -using the techniques of query expansion and text classification.…”
Section: English Studiesmentioning
confidence: 99%
“…Although the lexicon-based approaches disregard the syntactical structure of the entire offensive sentence, they performed well in detecting foul language and showed promising results. However, Razavi et al [12] designed and implemented a novel approach for automatic flame detection, which applies multi-level machine learning classifiers to extract features, boosted by the lexicon of abusive and insulting words. This study demonstrated that the semantic features without the syntactical structure in detecting offensive messages fail to identify the exact insulting comments in different arrangements.…”
Section: English Studiesmentioning
confidence: 99%