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MIA-QSAR modelling of activities of a series of AZT analogues: bi- and multilinear PLS regression
Molecular Simulation, 2010The activities of a series of azidothymidine derivatives, compounds with anti-HIV potency, were computationally modelled using multivariate image analysis applied to quantitative structure–activity relationships (MIA-QSAR). Two regression methods were tested in order to find the best correlation between actual and predicted activities: bilinear ...
Goodarzi, Mohammad +1 more
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2020
Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor. In this paper, we try to understand IT graduate attributes by working on the database collected from aspiring minds (
Ankita Chopra, Madan Lal Saini
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Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor. In this paper, we try to understand IT graduate attributes by working on the database collected from aspiring minds (
Ankita Chopra, Madan Lal Saini
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2005
One of the reservoirs engineer's mission is to predict the behavior of hydrocarbon producing assets. Once this ability is developed he/she will try to manage tbe ''today" to maximize the future economic return of the asset. However, the techniques to predict future performance vary from an educated guess of an appropriate analogy to very complex ...
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One of the reservoirs engineer's mission is to predict the behavior of hydrocarbon producing assets. Once this ability is developed he/she will try to manage tbe ''today" to maximize the future economic return of the asset. However, the techniques to predict future performance vary from an educated guess of an appropriate analogy to very complex ...
openaire +2 more sources
Computers in Biology and Medicine, 2008
In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography (ECG) measurements and an evaluation of cognitive load that induces psychophysiological stress (PPS ...
Manne Hannula +4 more
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In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography (ECG) measurements and an evaluation of cognitive load that induces psychophysiological stress (PPS ...
Manne Hannula +4 more
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ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Ben Gabrielson +4 more
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Ben Gabrielson +4 more
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Journal of Chemical Information and Modeling, 2007
During the last years, considerable effort has been devoted to model the toxicity of chemicals to Tetrahymena pyriformis for medium and large sized data sets using various artificial neural network (ANN) techniques. Motivation behind this has been to model highly complex relationships with nonlinear character making it possible to describe wide ...
Iiris Kahn, Sulev Sild, Uko Maran
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During the last years, considerable effort has been devoted to model the toxicity of chemicals to Tetrahymena pyriformis for medium and large sized data sets using various artificial neural network (ANN) techniques. Motivation behind this has been to model highly complex relationships with nonlinear character making it possible to describe wide ...
Iiris Kahn, Sulev Sild, Uko Maran
openaire +3 more sources
Development model of small orifice flow using simple linear and multilinear regression
Materials Research ProceedingsAbstract. The concept of "small orifice flow" describes the movement of a fluid through a tiny hole or orifice. This is a typical occurrence in engineering and fluid mechanics. In machine learning, linear regression is a fundamental and extensively used technique for modelling the connection.
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Chemometrics and Intelligent Laboratory Systems, 2001
Abstract While both Tucker3 and PARAFAC models can be viewed as latent variable models extending principal component analysis (PCA) to multi-way data, most fundamental properties of PCA do not extend to both models. This has practical importance, which will be explained in this paper.
Bro, R., Smilde, A.K., de Jong, S.
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Abstract While both Tucker3 and PARAFAC models can be viewed as latent variable models extending principal component analysis (PCA) to multi-way data, most fundamental properties of PCA do not extend to both models. This has practical importance, which will be explained in this paper.
Bro, R., Smilde, A.K., de Jong, S.
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Research on the Factors Affecting House Price using Multilinear Linear Regression Model.
Science and Technology of Engineering, Chemistry and Environmental ProtectionThis article aims to identify the factors that affect the change in house prices. In this paper, the Multiple Linear Regression Model is used to analyze the factors with 1000 random samples from the USA which was collected from the 2nd of May in 2014 to the 10th of July in 2014.
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