A review of underwater mine detection and classification in sonar imagery
S Hożyń - Electronics, 2021 - mdpi.com
Underwater mines pose extreme danger for ships and submarines. Therefore, navies
around the world use mine countermeasure (MCM) units to protect against them. One of the …
around the world use mine countermeasure (MCM) units to protect against them. One of the …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …
Deep PCA-Based Incipient Fault Diagnosis and Diagnosability Analysis of High-Speed Railway Traction System via FNR Enhancement
Y Wu, X Liu, Y Zhou - Machines, 2023 - mdpi.com
In recent years, the data-driven based FDD (Fault Detection and Diagnosis) of high-speed
train electric traction systems has made rapid progress, as the safe operation of traction …
train electric traction systems has made rapid progress, as the safe operation of traction …
ViteraaS: Virtual cluster as a Service
F Doelitzscher, M Held, C Reich… - 2011 IEEE Third …, 2011 - ieeexplore.ieee.org
The idea behind cloud computing is to deliver Infrastructure-, Platform-and Software-as-a-
Service (IaaS, PaaS and SaaS) over the network on an easy pay-per-use business model. In …
Service (IaaS, PaaS and SaaS) over the network on an easy pay-per-use business model. In …
An efficient method for PET image denoising by combining multi-scale transform and non-local means
The diagnosis of dementia, particularly in the early stages is very much helpful with Positron
emission tomography (PET) image processing. The most important challenges in PET image …
emission tomography (PET) image processing. The most important challenges in PET image …
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet
NE Benhassine, A Boukaache… - International Journal of …, 2021 - Wiley Online Library
Medical images have become omnipresent in diagnosis and therapy. However, they can be
affected by various types of noise that reduce image quality and make the final diagnostic …
affected by various types of noise that reduce image quality and make the final diagnostic …
Image denoising using wavelet transform method
V Gupta, R Mahle, RS Shriwas - 2013 Tenth International …, 2013 - ieeexplore.ieee.org
Removing noise from the original signal is still a challenging job for researchers. There have
been several numbers of published algorithms and each target to remove noise from …
been several numbers of published algorithms and each target to remove noise from …
Image denoising by median filter in wavelet domain
The details of an image with noise may be restored by removing noise through a suitable
image de-noising method. In this research, a new method of image de-noising based on …
image de-noising method. In this research, a new method of image de-noising based on …
An efficient wavelet and curvelet-based PET image denoising technique
A Bal, M Banerjee, P Sharma, M Maitra - Medical & Biological Engineering …, 2019 - Springer
Positron emission tomography (PET) image denoising is a challenging task due to the
presence of noise and low spatial resolution compared with other imaging techniques such …
presence of noise and low spatial resolution compared with other imaging techniques such …
A generalized image denoising method using neighbouring wavelet coefficients
Abstract The NeighShrink and ModiNeighShrink areefficient image denoising algorithms
that are based on universal threshold and discrete wavelet transform. The improved image …
that are based on universal threshold and discrete wavelet transform. The improved image …