Applications of machine learning in pipeline integrity management: A state-of-the-art review
Despite being considered the safest means to transport oil and gas, pipelines are
susceptible to degradation. Pipeline integrity management (PIM) is implemented to lower the …
susceptible to degradation. Pipeline integrity management (PIM) is implemented to lower the …
Developments and challenges in online NIR spectroscopy for meat processing
Meat and meat products are popular foods due to their balanced nutritional nature and their
availability in a variety of forms. In recent years, due to an increase in the consumer …
availability in a variety of forms. In recent years, due to an increase in the consumer …
DWTLSTM for electronic nose signal processing in beef quality monitoring
The smart packaging system is needed to continuously monitor the quality of beef and
microbial population for both the meat industries as well as end consumers. Moreover …
microbial population for both the meat industries as well as end consumers. Moreover …
[PDF][PDF] Wavelet theory and applications: a literature study
RJE Merry - 2005 - research.tue.nl
Many systems are monitored and evaluated for their behavior using time signals. Additional
information about the properties of a time signal can be obtained by representing the time …
information about the properties of a time signal can be obtained by representing the time …
A comparison of cepstral editing methods as signal pre-processing techniques for vibration-based bearing fault detection
The detection and diagnosis of incipient rolling element bearing faults is not an
undemanding task and signal analysis of vibration measurements therefore often …
undemanding task and signal analysis of vibration measurements therefore often …
A background elimination method based on wavelet transform for Raman spectra
A new hybrid algorithm is proposed to eliminate the varying background of spectral signals.
The method is based on the use of multi-resolution, which is one of the main advantages …
The method is based on the use of multi-resolution, which is one of the main advantages …
A partial least squares and wavelet-transform hybrid model to analyze carbon content in coal using laser-induced breakdown spectroscopy
A partial least squares (PLS) and wavelet transform hybrid model are proposed to analyze
the carbon content of coal by using laser-induced breakdown spectroscopy (LIBS). The …
the carbon content of coal by using laser-induced breakdown spectroscopy (LIBS). The …
A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, Gini …
Accurate and reliable streamflow forecasting is indispensable to deal with the dynamics of
streamflow parameters and for optimal use of water resources, flood, and drought control. In …
streamflow parameters and for optimal use of water resources, flood, and drought control. In …
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth
Multi-step-ahead prediction is considered of major significance for time series analysis in
many real life problems. Existing methods mainly focus on one-step-ahead forecasting …
many real life problems. Existing methods mainly focus on one-step-ahead forecasting …
Application of firefly algorithm with online wavelet filter in automatic generation control of an interconnected reheat thermal power system
This paper presents the implementation of the Firefly Algorithm (FA) with an online wavelet
filter on the automatic generation control (AGC) model for a three unequal area …
filter on the automatic generation control (AGC) model for a three unequal area …