Results 51 to 60 of about 3,471 (207)

Development of Building Thermal Load and Discomfort Degree Hour Prediction Models Using Data Mining Approaches

Energies, 2018
Thermal load and indoor comfort level are two important building performance indicators, rapid predictions of which can help significantly reduce the computation time during design optimization. In this paper, a three-step approach is used to develop and
Yaolin Lin, Shiquan Zhou, Wei Yang, Long Shi, Chun-Qing Li   +4 more
doaj   +1 more source

Urodynamic and Anamnestic Predictors for Individual Dose Adjustment of Intravesical Oxybutynin in Neurogenic Detrusor Overactivity: Results From the UPSIDE Study

Neurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Intravesical oxybutynin (IVO) is a 2nd line treatment option for patients with neurogenic detrusor overactivity (NDO) who are not adequately managed by oral anticholinergics. The UPSIDE study aimed to identify urodynamic and anamnestic predictors for achieving a therapeutically satisfactory dose (TSD) of 1 mg/mL IVO and to ...
Arndt Van Ophoven, Severine Banek, Kristin Becker, Markus Heibel, Almut Hirsch, Margot Kieruj, Ines Kurze, Anja Lingnau, Barbara Ludwikowski, Tobias Luithle, Fabian Queissert, Wolfgang Rösch, Oliver Schindler, Regina Stredele, Thomas Michael Karl Völkl, Quentin Leidl, Michael Gedamke   +16 more
wiley   +1 more source

Modeling Properties with Artificial Neural Networks and Multilinear Least-Squares Regression: Advantages and Drawbacks of the Two Methods [PDF]

Applied Sciences, 2018
The mean molecular connectivity indices (MMCI) proposed in previous studies are used in conjunction with well-known molecular connectivity indices (MCI) to model eleven properties of organic solvents. The MMCI and MCI descriptors selected by the stepwise multilinear least-squares (MLS) procedure were used to perform artificial neural network (ANN ...
Jesus Vicente De Julián-Ortiz, Lionello Pogliani, Emili Besalú   +2 more
openaire   +4 more sources

Predicting Slope Stability Failure through Machine Learning Paradigms

ISPRS International Journal of Geo-Information, 2019
In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression ...
Dieu Tien Bui, Hossein Moayedi, Mesut Gör, Abolfazl Jaafari, Loke Kok Foong   +4 more
doaj   +1 more source

Calibration and Validation of a Measurements-Independent Model for Road Traffic Noise Assessment

Applied Sciences, 2023
The assessment of road traffic noise is very important for the health of people living in urban areas. Noise is usually assessed by field measurements, and predictive models play an important role when experimental data are not available.
Domenico Rossi, Aurora Mascolo, Claudio Guarnaccia   +2 more
doaj   +1 more source

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

Polymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco, Emilly Cruz da Silva, Glenda Sores Gomes, Joane Almeida Alves, Amanda Vidal, Leandro Argolo, Rafaela Ribeiro, Luciana Souza, José Augusto Pires Bitencourt, Leonardo Brasil Felipe, Leonie Asfora Sarubbo, Sidnei Cerqueira dos Santos   +11 more
wiley   +1 more source

Object segmentation by fitting statistical shape models : a Kernel-based approach with application to wisdom tooth segmentation from CBCT images [PDF]

, 2014
Image segmentation is an important and challenging task in medical image analysis. Especially from low-quality images, segmentation algorithms have to cope with misleading background clutter, insufficient object boundaries and noise in the image ...
Jud, Christoph
core   +1 more source

Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A previously unidentified solar‐cycle response in the East Atlantic pattern is found in late winter at lag +3 years with larger amplitude than the NAO response. A statistically significant NAO response to the solar cycle is seen in late winter at lag 0 years.
Stergios Misios, Paula L. M. Gonzalez, Lesley J. Gray, Scott Osprey, Hedi Ma   +4 more
wiley   +1 more source

Use of multilinear regression for prediction of PH and aragonite saturation in the northwest Gulf of Mexico [PDF]

, 2022
The Gulf of Mexico (GOM) is home to large shellfish populations, and the northernmost tropical coral reefs in the contiguous US. Despite this, the progression of Ocean Acidification (OA) in the GOM is still poorly understood as historical carbonate ...
Hu, Xinping, Barbero, Leticia, Jundt, EvaLynn   +2 more
core  

Data on some socio-economic parameters explaining the movement of extra-EU asylum seekers in Europe

Data in Brief, 2016
This article contains data concerning the movement of extra-EU asylum seekers in Europe. Data used in this paper were collected from the Eurostat database and the UNHCR database.
Silvia Angeloni
doaj   +1 more source