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2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC), 2023
Quantitative evaluation of noise levels is of great importance for the overall evaluation of inhabited contexts. Road traffic noise is a pervasive kind of pollution, which causes health problems to people exposed to sound levels exceeding 55 dBA.
Domenico Rossi +2 more
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Quantitative evaluation of noise levels is of great importance for the overall evaluation of inhabited contexts. Road traffic noise is a pervasive kind of pollution, which causes health problems to people exposed to sound levels exceeding 55 dBA.
Domenico Rossi +2 more
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Journal of Hydrologic Engineering, 2013
Precipitation is the primary driver for hydrologic modeling. Because hydrologic models often require long-term, spatially dis- tributed precipitation data sets for calibration and validation, a novel approach was developed to generate spatially distributed precipitation data using an artificial neural network (ANN) for the periods when Next-Generation ...
Suresh Sharma +3 more
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Precipitation is the primary driver for hydrologic modeling. Because hydrologic models often require long-term, spatially dis- tributed precipitation data sets for calibration and validation, a novel approach was developed to generate spatially distributed precipitation data using an artificial neural network (ANN) for the periods when Next-Generation ...
Suresh Sharma +3 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
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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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
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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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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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Journal of Hazardous Materials
Effective protection of groundwater requires an accurate health risk assessment of contaminants; however, the diversity of pollution sources, variability, and uncertainties in exposure parameters present significant challenges in this assessment. In this study, groundwater risk estimates associated with NO3-, and F-, along with fourteen heavy metal ...
Vesković, Jelena, Onjia, Antonije
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Effective protection of groundwater requires an accurate health risk assessment of contaminants; however, the diversity of pollution sources, variability, and uncertainties in exposure parameters present significant challenges in this assessment. In this study, groundwater risk estimates associated with NO3-, and F-, along with fourteen heavy metal ...
Vesković, Jelena, Onjia, Antonije
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Artificial Organs, 2003
Abstract: The impact of clinical and other variables on single‐pool Kt/V (spKt/V) is unclear. The goal of this study was to identify clinical and hemodialysis treatment related predictors of spKt/V and use multilinear regression (LM), tree‐based modeling (TBM), and artificial neural networks (ANN) to predict actual spKt/V. When 602 hemodialysis records
Alexander, Goldfarb-Rumyantzev +4 more
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Abstract: The impact of clinical and other variables on single‐pool Kt/V (spKt/V) is unclear. The goal of this study was to identify clinical and hemodialysis treatment related predictors of spKt/V and use multilinear regression (LM), tree‐based modeling (TBM), and artificial neural networks (ANN) to predict actual spKt/V. When 602 hemodialysis records
Alexander, Goldfarb-Rumyantzev +4 more
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