Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification by Ruimin Peng, Zhenbang Du, Changming Zhao, Jingwei Luo, Wenzhong Liu, Xinxing Chen, Dongrui Wu

“…A mutual-distillation strategy is proposed to transfer knowledge between the raw EEG data and its wavelets of different frequency bands. Experiments on two public EEG datasets demonstrated that our proposed MBMD Transformer outperformed several traditional machine learning and state-of-the-art deep learning approaches. …”
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Advanced Metrology : Freeform Surfaces / by Jiang, Xiangqian, author 651623, Scott, Paul J., author 651624, ScienceDirect (Online service) 7722

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Locally lateral manifolds of normalised Gabor features for face recognition by Fadhlan Hafizhelmi Kamaru Zaman

“…However, the projected features are numerous and substantial in dimension, which is largely due to the convolution of multiscale and orientation of wavelets. Such features, when used in practical face recognition, would require relatively lengthy classification process, particularly when it involves computationally extensive local classifier or experts, such as ensembles of local cosine similarity (ELCS) classifier. …”
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Fractal Metrology for biogeosystems analysis by V. Torres-Argüelles, K. Oleschko, A. M. Tarquis, G. Korvin, C. Gaona, J.-F. Parrot, E. Ventura-Ramos

“…Some of the applied methods are known as classical in the fractal context (box-counting, rescaling-range and wavelets analyses, etc.) while the others have been recently developed by our Group. …”
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Study on Numerical Simulation and Electromagnetic Scattering of Time-Invariant Freak Waves by Lichen Han, Gengkun Wu, Bin Liu

“…Freak waves that meet the international standards are generated at fixed time and location by adjusting the energy of the wavelets. We studied the occurrence probability of freak waves under the conditions of different wave spectrums, different wind speeds, and different modulation ratios and optimized the calculation speed of the model. …”
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Sparse algebraic reconstruction for fluorescence mediated tomography by Ortiz-de-Solorzano, Carlos, Pengo, Thomas S., Muñoz-Barrutia, Arrate, Pardo, Carlos

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Application of Biot-Gassmann Subtitution method in generating synthetic of S-wave sonic log for simultaneous AVO inversion by Sudarmaji, ., Budi Eka, Nurcahya, Sismanto, .

“…This initial model together with the seismic wavelets which are extracted from 3D seismic data statistically to perform simultaneous AVO inversion that will produce physical property like P-wave Impedance, S-wave Impedance, density and Vp/Vs ratio in a 3D cube…”
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Vibration condition monitoring: latest trend and review by Hui, Kar Hoou, Lim, Meng Hee, Leong, Mohd. Salman @ Yew Mun, Abdelrhman, Ahmed Mohammed

“…Various effective signal analysis methods to analyze and extract fault signature that embedded in the raw vibration signals have been introduced in the past few decades such as fast Fourier transform (FFT), short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. however, these is still a need for human to interpret vibration signature of faults and it is regarded as one of the major challenge in vibration condition monitoring. …”

Comparison of Trotting Stance Detection Methods from an Inertial Measurement Unit Mounted on the Horse’s Limb by Marie Sapone, Pauline Martin, Khalil Ben Mansour, Henry Château, Frédéric Marin

“…These methods are based on accelerometer and gyroscope data and use either thresholding or wavelets to detect stride events. The two methods developed from gyroscopic data showed more precision than those developed from accelerometric data with a bias less than 0.6% of stride duration for <i>Foot on</i> and 0.1% of stride duration for <i>Foot off</i>. …”
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Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images by Rabab Ward, Angshul Majumdar

“…Owing to the inter-image correlation, the thus formed MMV matrix or the long concatenated vector is row-sparse or group-sparse respectively in a transform domain (wavelets). Consequently the reconstruction problem was formulated as a row-sparse MMV recovery or a group-sparse vector recovery. …”
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Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery. by Ahmad Chaddad, Christian Desrosiers, Ahmed Bouridane, Matthew Toews, Lama Hassan, Camel Tanougast

“…This region is then encoded using texture features based on the Laplacian-of-Gaussian (LoG) filter, discrete wavelets (DW) and gray level co-occurrence matrices (GLCM). …”
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Electricity Consumption Clustering Using Smart Meter Data by Alexander Tureczek, Per Sieverts Nielsen, Henrik Madsen

“…Methods from time series analysis and wavelets are applied to enable the K-Means clustering method to account for autocorrelation in data and thereby improve the clustering performance. …”
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Removal of pulse artefact from EEG data recorded in MR environment at 3T. Setting of ICA parameters for marking artefactual components: application to resting-state data. by Eleonora Maggioni, Jorge Arrubla, Tracy Warbrick, Jürgen Dammers, Anna M Bianchi, Gianluigi Reni, Michela Tosetti, Irene Neuner, N Jon Shah

“…Among the methods for the identification of PA-related components, the one based on the wavelets transform of each component emerged as the best compromise between the effectiveness in removing PA and the conservation of the physiological neuronal content.…”
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Does temporal variability limit standardized biological monitoring at wave and tidal energy sites? by Silvana Gonzalez, John K Horne, Eric Ward

“…Metrics that describe fish and macrozooplankton densities and vertical distributions derived from acoustic backscattered energy were compared using wavelets and Autoregressive Moving Average models (ARMA). …”
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Influence of Texture and Colour in Breast TMA Classification. by M Milagro Fernández-Carrobles, Gloria Bueno, Oscar Déniz, Jesús Salido, Marcial García-Rojo, Lucía González-López

“…A relevant set of features was obtained on eight different colour models from first and second order Haralick statistical descriptors obtained from the intensity image, Fourier, Wavelets, Multiresolution Gabor, M-LBP and textons descriptors. …”
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Spectral quantification of nonlinear behaviour of the nearshore seabed and correlations with potential forcings at Duck, N.C., U.S.A. by Vanesa Magar, Marc Lefranc, Rebecca B Hoyle, Dominic E Reeve

“…The patterns within these forcings are compared to the local bathymetric patterns; it is found that the patterns extracted using SSA and MSSA agree well with previous patterns identified using wavelets and confirm the highly non-stationary behaviour of beach levels at Duck. …”
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Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migr... by Rosa Maria Rodrigues da Costa, Nidia Noemí Fabré, Sidinéia Aparecida Amadio, Víctor Manuel Tuset

“…ABSTRACT Using morphometric measurements and wavelets functions, the asterisci otoliths of curimatã, Prochilodus nigricans were analysed to identify the variation in shape and growth increment of individuals from Solimões, Japurá and Negro rivers of the Amazon basin, Brazil. …”
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Detection of contaminants using a MEMS FAIMS sensor by Carr, Kristin (Kristin Malia)

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Multiscale ab initio approaches to materials physics by Engeness, Torkel Dyrbaek, 1972-

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Enhancement of Brillouin gain efficiency in multiwavelength L-band BEFL by utilizing bi-directional Brillouin pump amplification. by Al-Mansoori, Mohammed Hayder, Mahdi, Mohd Adzir, Jamaludin, Md Zaini, Md. Din, Norashidah, Abdullah, Fairuz

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