Applications of machine learning in pipeline integrity management: A state-of-the-art review

A Rachman, T Zhang, RMC Ratnayake - International journal of pressure …, 2021 - Elsevier
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 …

Developments and challenges in online NIR spectroscopy for meat processing

Y Dixit, MP Casado‐Gavalda… - … Reviews in Food …, 2017 - Wiley Online Library
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 …

DWTLSTM for electronic nose signal processing in beef quality monitoring

DR Wijaya, R Sarno, E Zulaika - Sensors and Actuators B: Chemical, 2021 - Elsevier
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 …

[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 …

A comparison of cepstral editing methods as signal pre-processing techniques for vibration-based bearing fault detection

C Peeters, P Guillaume, J Helsen - Mechanical Systems and Signal …, 2017 - Elsevier
The detection and diagnosis of incipient rolling element bearing faults is not an
undemanding task and signal analysis of vibration measurements therefore often …

A background elimination method based on wavelet transform for Raman spectra

Y Hu, T Jiang, A Shen, W Li, X Wang, J Hu - Chemometrics and Intelligent …, 2007 - Elsevier
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 …

A partial least squares and wavelet-transform hybrid model to analyze carbon content in coal using laser-induced breakdown spectroscopy

T Yuan, Z Wang, Z Li, W Ni, J Liu - Analytica Chimica Acta, 2014 - Elsevier
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 …

A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, Gini …

H Apaydin, M Sibtain - Journal of Hydrology, 2021 - Elsevier
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 …

An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth

B Alhnaity, S Kollias, G Leontidis, S Jiang, B Schamp… - Information …, 2021 - Elsevier
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 …

Residual attention-aided U-Net GAN and multi-instance multilabel classifier for automatic waveform recognition of overlapping LPI radar signals

Z Pan, S Wang, Y Li - IEEE Transactions on Aerospace and …, 2022 - ieeexplore.ieee.org
Automatic waveform recognition of overlapping low probability of intercept (LPI) radar
signals is an important and challenging task in electronic reconnaissance of the increasingly …