Near infrared spectroscopy: A mature analytical technique with new perspectives–A review
C Pasquini - Analytica chimica acta, 2018 - Elsevier
Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …
[HTML][HTML] Machine learning applied to road safety modeling: A systematic literature review
Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …
development of crash prediction models (CPM) and the investigation of factors contributing …
Facilitating the application of support vector regression by using a universal Pearson VII function based kernel
B Üstün, WJ Melssen, LMC Buydens - Chemometrics and Intelligent …, 2006 - Elsevier
In the last few years, application of Support Vector Machines (SVMs) for solving
classification and regression problems has increased, in particular, due to its high …
classification and regression problems has increased, in particular, due to its high …
Support vector machines in water quality management
KP Singh, N Basant, S Gupta - Analytica chimica acta, 2011 - Elsevier
Support vector classification (SVC) and regression (SVR) models were constructed and
applied to the surface water quality data to optimize the monitoring program. The data set …
applied to the surface water quality data to optimize the monitoring program. The data set …
Prediction of water quality index in constructed wetlands using support vector machine
Poor water quality is a serious problem in the world which threatens human health,
ecosystems, and plant/animal life. Prediction of surface water quality is a main concern in …
ecosystems, and plant/animal life. Prediction of surface water quality is a main concern in …
Support vector regression snow-depth retrieval algorithm using passive microwave remote sensing data
Snow cover is an informative indicator of climate change because it can affect local and
regional surface energy and water balance, hydrological processes and climate, and …
regional surface energy and water balance, hydrological processes and climate, and …
MOOC student dropout prediction model based on learning behavior features and parameter optimization
C Jin - Interactive Learning Environments, 2023 - Taylor & Francis
Since the advent of massive open online courses (MOOC), it has been the focus of
educators and learners around the world, however the high dropout rate of MOOC has had a …
educators and learners around the world, however the high dropout rate of MOOC has had a …
Supervised Kohonen networks for classification problems
In this paper the transparency of the Counter Propagation Network (CPN) and the modelling
power of the supervised Kohonen network (SKN) is combined. Two alternative supervised …
power of the supervised Kohonen network (SKN) is combined. Two alternative supervised …
Least square-support vector (LS-SVM) method for modeling of methylene blue dye adsorption using copper oxide loaded on activated carbon: Kinetic and isotherm …
A multiple linear regression (MLR) model and least square support vector regression (LS-
SVM) model with principal component analysis (PCA) was used for preprocessing to predict …
SVM) model with principal component analysis (PCA) was used for preprocessing to predict …