Results 111 to 120 of about 3,471 (207)

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

Heterogeneous architectures parallel model for massive multilinear regressions [PDF]

, 2019
La generación de modelos de regresión lineal múltiple demanda una selección exhaustiva de las variables regresoras que permiten obtener un alto nivel de precisión en las tareas de predicción.
Rojas Quintero, Cristian Alejandro
core  

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

Machine-learning to predict anharmonic frequencies: a study of models and transferability † [PDF]

With more and more accurate electronic structure methods at hand, the inclusion of anharmonic effects in the post-processing of such data towards thermochemical properties is the next step.
Perlt, Eva, Schrader, Tim, Khanifaev, Jamoliddin   +2 more
core   +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

Quantum Chemical QSAR Models to Distinguish Between Inhibitory Activities of Sulfonamides Against Human Carbonic Anhydrases I and II and Bovine IV Isozymes [PDF]

, 2012
Linear and nonlinear quantitative structure activity relationship models for predicting the inhibitory activities of sulfonamides toward different carbonic anhydrase isozymes were developed based on multilinear regression, principal component-artificial ...
Goodarzi, Mohammad, Deeb, Omar, Khadikar, Padmaker V.   +2 more
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Hybrid parametric/non-parametric models for lifespan modeling of insulation materials [PDF]

, 2016
International audienceThis paper considers the problem of insulation material lifespan modelling. This problem is crucial for aircraft reliability since about 40% of electrical machine failures stem from insulation.
Salameh, Farah, Chabert, Marie, Maussion, Pascal, Picot, Antoine   +3 more
core   +3 more sources

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

Programmatic Shelf: elevating customer experience through AI-optimized product placement and intelligent shelf organization [PDF]

reservedThis thesis work is based on an internship project held in Procter & Gamble company in which we investigate the utility of interpretable machine learning models, focusing on the versatile applicability of multiple linear regression in addressing ...
D'ANTIMO, SIMONE
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