Results 91 to 100 of about 9,528 (141)

Weeks-Ahead Epidemiological Predictions of Varicella Cases From Univariate Time Series Data Applying Artificial Intelligence

Infectious Diseases & Immunity
. Background. “Chickenpox” is a highly infectious disease caused by the varicella-zoster virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics can be a substantial drain on health-authority resources.
David A. Wood, Haijuan Wang
doaj   +1 more source

Prediction distribution of generalized geometric series distribution and its different forms [PDF]

, 2009
The prediction distribution of generalized geometric series distribution (GGSD) and of its truncated and size-biased forms is derived and studied under the non-informative and beta prior distributions.
Hassan, Anwar, Khan, Shahjahan
core   +1 more source

Coupling Different Road Traffic Noise Models with a Multilinear Regressive Model: A Measurements-Independent Technique for Urban Road Traffic Noise Prediction

Sensors
Road traffic noise is a severe environmental hazard, to which a growing number of dwellers are exposed in urban areas. The possibility to accurately assess traffic noise levels in a given area is thus, nowadays, quite important and, on many occasions, compelled by law.
Domenico Rossi, Antonio Pascale, Aurora Mascolo, Claudio Guarnaccia   +3 more
openaire   +3 more sources

Design, Synthesis, Characterization, and Computational Studies on Benzamide Substituted Mannich Bases as Novel, Potential Antibacterial Agents

The Scientific World Journal, 2014
A series of benzamide substituted Mannich bases (1–7) were synthesized. The synthesized derivatives were authenticated by TLC, UV-Visible, FTIR, NMR, and mass spectroscopic techniques and further screened for in vitro antibacterial activity by test tube ...
Suman Bala, Neha Sharma, Anu Kajal, Sunil Kamboj   +3 more
doaj   +1 more source

Modeling nitrogen dioxide concentrations using citizen science data: The case of the Brussels-Capital Region

City and Environment Interactions
Air pollution caused by NO2 emissions related to traffic is a major environmental issue in the Brussels-Capital region. Using a large set of measurements collected from a citizen science campaign, this paper shows how such data help us to get an overview
Patrick Bogaert, Noémie Huvelle, Axel Briffault, Olivier Brasseur   +3 more
doaj   +1 more source

Predicting Gas Separation Efficiency of a Downhole Separator Using Machine Learning

Energies
Artificial lift systems, such as electrical submersible pumps and sucker rod pumps, frequently encounter operational challenges due to high gas–oil ratios, leading to premature tool failure and increased downtime.
Ashutosh Sharma, Laura Camila Osorio Ojeda, Na Yuan, Tunc Burak, Ishank Gupta, Nabe Konate, Hamidreza Karami   +6 more
doaj   +1 more source

Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry

Applied Sciences
This study proposes a qualitative analysis for identifying the best predictors for ensuring passive noise control, aiming to achieve superior acoustic comfort in transportation systems.
Bianca-Mihaela Cășeriu, Manuela-Rozalia Gabor, Petruța Blaga, Cristina Veres   +3 more
doaj   +1 more source

Integrated Ultrasonic Flow Meter and Microwave Sensing Technology for Wet Gas Measurement: Development and Validation of Over‐Reading Correction Models

IET Science, Measurement & Technology
Accurate wet gas flow measurement is essential for production optimisation, custody transfer, and regulatory compliance in the energy and chemical industries. Conventional ultrasonic flow meters often overestimate gas flow rates due to liquid entrainment,
Ishigita Lucas Shunashu, Osmund Kaunde, Duncan Mwakipesile   +2 more
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Development of Multilinear Regression Models for Online Voltage Stability Margin Estimation

IEEE Transactions on Power Systems, 2011
This paper investigates the use of reactive power reserves (RPR) as an indicator to estimate voltage stability margin (VSM) in an online environment. The methodology relies upon the relationship between system-wide RPRs and VSM. Statistical multilinear regression models (MLRM) are utilized in order to express how variations in RPRs can be transformed ...
Bruno Leonardi, Venkataramana Ajjarapu
openaire   +1 more source

Comparison of Some Estimator Methods of Regression Mixed Model for the Multilinearity Problem and High – Dimensional Data

Journal of Electronics,Computer Networking and Applied Mathematics, 2023
In order to obtain a mixed model with high significance and accurate alertness, it is necessary to search for the method that performs the task of selecting the most important variables to be included in the model, especially when the data under study suffers from the problem of multicollinearity as well as the problem of high dimensions.
Thaer, Hashim, Abdulmuttaleb
openaire   +2 more sources