Artificial neural networks for vibration based inverse parametric identifications: A review

MS Hossain, ZC Ong, Z Ismail, S Noroozi… - Applied Soft Computing, 2017 - Elsevier
Vibration behavior of any solid structure reveals certain dynamic characteristics and property
parameters of that structure. Inverse problems dealing with vibration response utilize the …

The highscore suite

T Degen, M Sadki, E Bron, U König, G Nénert - Powder diffraction, 2014 - cambridge.org
HighScore with the Plus option (HighScore Plus) is the commercial powder diffraction
analysis software from PANalytical. It has been in constant development over the last 13 …

Data and information quality

C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Data-Centric Systems and Applications

MJ Carey, S Ceri, P Bernstein, U Dayal, C Faloutsos… - Italy: Springer, 2006 - Springer
The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Quartiles in elementary statistics

E Langford - Journal of Statistics Education, 2006 - Taylor & Francis
The calculation of the upper and lower quartile values of a data set in an elementary
statistics course is done in at least a dozen different ways, depending on the text or …

A multivariate calibration procedure for UV/VIS spectrometric quantification of organic matter and nitrate in wastewater

G Langergraber, N Fleischmann… - Water science and …, 2003 - iwaponline.com
A submersible UV/VIS spectrometer for in-situ real-time measurements is presented. It
utilises the UV/VIS range (200-750 nm) for simultaneous measurement of COD, filtered …

[HTML][HTML] Identifying the validity domain of machine learning models in building energy systems

M Rätz, P Henkel, P Stoffel, R Streblow, D Müller - Energy and AI, 2023 - Elsevier
The building sector significantly contributes to climate change. To improve its carbon
footprint, applications like model predictive control and predictive maintenance rely on …

[HTML][HTML] Safe operation of online learning data driven model predictive control of building energy systems

P Stoffel, P Henkel, M Rätz, A Kümpel, D Müller - Energy and AI, 2023 - Elsevier
Abstract Model predictive control is a promising approach to reduce the CO 2 emissions in
the building sector. However, the vast modeling effort hampers the widescale practical …

A study of the relationship between leadership styles and employee job satisfaction at IAU in Tehran, Iran

F Hamidifar - Au-GSB e-Journal, 2010 - assumptionjournal.au.edu
Abstract he objective of this study is to explore how at the 16 branches of Islamic Azad
University, Tehran province, Iran, leadership styles (the independent variable) influence …

[图书][B] Gibbs sampling for the uninitiated

P Resnik, E Hardisty - 2010 - users.umiacs.umd.edu
This document is intended for computer scientists who would like to try out a Markov Chain
Monte Carlo (MCMC) technique, particularly in order to do inference with Bayesian models …