Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal by Acharya, U.R., Fujita, H., Sudarshan, V.K., Oh, S.L., Adam, M., Tan, J.H., Koo, J.H., Jain, A., Lim, C.M., Chua, K.C.

“…Performance of novel algorithms is based on contourlet and shearlet transformations of the ECG signals. Continuous wavelet transform (CWT) is performed on normal, CAD, MI and CHF ECG beat to obtain scalograms. …”

Multispectral palm vein image fusion for contactless palm vein verification system by Soh, Shi Chuan

“…The conventional method such as Multi-resolution Singular Value Decomposition (MSVD), wavelet transform and Energy of Laplacian (EOL), were only able to achieve EER rate of 6.58%, 6.83% and 8.64% respectively. …”
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An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title by Khalaf, Emad Taha

“…A combination of three transformation methods, namely, Discrete Cosine Transformation (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) for analyzing the iris image and for extracting its local features have yet to be utilized for image clustering and indexing. …”
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Study of non-invasive cognitive tasks and feature extraction techniques for brain-computer interface (BCI) applications by Mamunur, Rashid

“…Additionally, twoclass motor imagery hand movement has been classified using SVM, K-NN, and LDA where the feature has been extracted through PSD, spectral centroid and continuous wavelet transform (CWT). The optimum 74.7% accuracy has been achieved by the PSDSVM approach. …”
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Human hearing disorder recognition model using eeg-aep based signal by Md Nahidul, Islam

“…Among these, the proposed continuous wavelet transforms (CWT) with improved-VGG16 architecture showed outstanding performance for hearing deficiency diagnosis. …”
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A robust framework for driver fatigue detection from EEG signals using enhancement of modified Z-score and multiple machine learning architectures by Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari

“…An enhanced modified z-score was utilised with features extracted from a time-frequency domain continuous wavelet transform (CWT) to elevate the reliability of driver fatigue classification. …”
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Optimal planning and sizing of an autonomous hybrid energy system using multi stage grey wolf optimization by Salisu, Sani

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Hybrid feature extraction method based-on probability model for augmented facial expression recognition by Jenni, Kommineni

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Machine learning methods for better water quality prediction by Ahmed, Ali Najah, Othman, Faridah, Afan, Haitham Abdulmohsin, Ibrahim, Rusul Khaleel, Chow, Ming Fai, Hossain, Md Shabbir, Ehteram, Mohammad, El-Shafie, Ahmed

“…Hence, a Neuro-Fuzzy Inference System (WDT-ANFIS) based augmented wavelet de-noising technique has been recommended that depends on historical data of the water quality parameter. …”

Signal Response Based On Speed And Reaction Of Otto Cycle Engine by Mohamed Pauzi, Muhammad Zaim

“…In addition, in order to verify the results, Discrete Wavelet Transform was implemented, as well as to evaluate misfire signal. …”
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Experimental and prediction model of low compression marine diesel engine fuelled with palm biodiesel blends by Che Wan Mohd Noor, Che Wan Othman

“…Increased palm biodiesel percentage in the blend also lowered the engine cyclic variations where the B30 blend produces the minimum variations among the tested fuels. The wavelet power spectrum plot shows lower frequency oscillations of IMEP when operated with palm biodiesel blends. …”
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Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal by Mohd Fadhlan, Mohd Yusof

“…Signal features, such as mean absolute deviation (MAD), standard deviation (SD), kurtosis (K), L-scale (LS), L-kurtosis (LK), bandpower (BP), and sum of synchrosqueezed wavelet coefficient (CSqWCsum) were extracted from the acquired sound. …”
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Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis by Hanafi, M. Yusop, M. F., Ghazali, M. F. M., Yusof, Wan Sofian, Wan Hamat

“…In this research, cepstrum analysis was proposed as Post-Processing method. Discrete Wavelets Transform (DWT) and Principal Component Analysis (PCA) were proposed as Pre-Processing Methods…”
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Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique by Muhammad Hanafi, Yusop

“…Various methods of pressure transient analysis have been applied by several groups of researchers, such as cepstrum analysis, cross-correlation, wavelets analysis, empirical mode decomposition (EMD) and instantaneous frequency analysis. …”
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The Contagion from the 2007-09 US Stock Market Crash by Castellanos, Arnulfo M., Vargas, Francisco S., Rentería, Luis G.

“…This could be studied from the perspective of financial contagion, using a mathematical tool known as wavelets. This paper aims to assess the impact of the US stock market crash on the other stock markets all over the world. …”
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Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns by Kamaruzaman, Fadhlan, Shafie, Amir Akramin

“…Gabor Wavelets (GW) have been extensively used for facial feature representation due to its inherent multi-resolution and multi-orientation characteristics. …”
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Furrow and crypt detection using Modified Ant Colony Optimization for iris recognition / Zaheera Zainal Abidin by Zainal Abidin, Zaheera

“…The current way of reducing FRR are wavelets and Gabor filters, cascaded classifiers, ordinal measure, multiple biometric modality and selection of unique iris features. …”
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Application of slantlet transform based support vector machine for power quality detection and classification by Mohd Noh, Faridah Hanim, Miyauchi, Hajime, Yaakub, M. Faizal

“…To take on the characteristics of PQ signals, feature vector was con-structed from the statistical value of the SLT signal coefficient and wavelets entropy at different nodes. The feature vectors of the PQ disturbances are then applied to SVM for the classification process. …”
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An improved functional link neural network for data classification by Iqbal, Umer

“…Accordingly, two alternative models namely; Genocchi Functional Link Neural Network (GFLNN) and Chebyshev Wavelets Functional Link Neural Network (CWFLNN) are proposed. …”
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