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Published in 2024 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2024/07/021
Abstract: We investigate the Wavelet Scattering Transform (WST) as a tool for the study of Primordial non-Gaussianity (PNG) in Large Scale Structure (LSS), and compare its performance with that achievable via a joint analysis with power…
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Keywords:
scattering transform;
wavelet scattering;
scale structure;
non gaussianity ... See more keywords
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Published in 2024 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2024/11/061
Abstract: We present the first application of the Wavelet Scattering Transform (WST) in order to constrain the nature of gravity using the three-dimensional (3D) large-scale structure of the universe. Utilizing the Quijote-MG N-body simulations, we can…
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Keywords:
wavelet scattering;
scattering transform;
gravity;
large scale ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3212146
Abstract: In the past decade, improving upper limb prostheses control methods with pattern recognition (PR) has been the focus of an extended amount of research. However, several challenges associated with the processing of the Electromyogram (EMG)…
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Keywords:
recognition;
scattering transform;
wavelet scattering;
amg ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3143200
Abstract: Radar-based materials detection received significant attention in recent years for its potential inclusion in consumer and industrial applications like object recognition for grasping and manufacturing quality assurance and control. Several radar publications were developed for…
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Keywords:
classification;
wavelet scattering;
based materials;
radar based ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3199669
Abstract: In recent years, developing robust systems for automatic detection of pathological speech has attracted increasing interest among researchers and clinicians. This study proposes an end-to-end approach based on wavelet scattering network (WSN) for detection of…
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Keywords:
end end;
network;
speech;
wavelet scattering ... See more keywords
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Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3421961
Abstract: Recent advancements in Unmanned Aerial Vehicles (UAVs) have prompted concerns regarding their potential misuse. Deep-learning techniques offer superior detection capabilities compared to traditional rule-based approaches, provided the training dataset is diverse and sufficiently large. We…
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Keywords:
detection;
wavelet scattering;
cnn;
scattering transform ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3502843
Abstract: Major depressive disorder (MDD) recognition using multichannel electroencephalography (EEG) signals has profound clinical value with its richness and accessibility of temporal information, but such signals may suffer from nonstationarity and redundant characteristics. To cope with…
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Keywords:
eeg signals;
wavelet scattering;
bilstm;
mdd recognition ... See more keywords
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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3165730
Abstract: Wavelet scattering networks, which are convolutional neural networks (CNNs) with fixed filters and weights, are promising tools for image analysis. Imposing symmetry on image statistics can improve human interpretability, aid in generalization, and provide dimension…
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Keywords:
equivariant wavelets;
rotation;
reduction;
wavelet scattering ... See more keywords
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Published in 2021 at "Materials"
DOI: 10.3390/ma14081957
Abstract: Accurate and automatic railhead inspection is crucial for the operational safety of railway systems. Deep learning on visual images is effective in the automatic detection of railhead defects, but either intensive data requirements or ignoring…
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Keywords:
networks railhead;
neural networks;
scattering neural;
railhead defects ... See more keywords