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Deep Residual Shrinkage Networks for Fault Diagnosis

IEEE Transactions on Industrial Informatics, 2020
This article develops new deep learning methods, namely, deep residual shrinkage networks, to improve the feature learning ability from highly noised vibration signals and achieve a high fault diagnosing accuracy.
Minghang Zhao   +4 more
semanticscholar   +1 more source

Residual Feature Distillation Network for Lightweight Image Super-Resolution

ECCV Workshops, 2020
Recent advances in single image super-resolution (SISR) explored the power of convolutional neural network (CNN) to achieve a better performance. Despite the great success of CNN-based methods, it is not easy to apply these methods to edge devices due to
Jie Liu, Jie Tang, Gangshan Wu
semanticscholar   +1 more source

Residue Currents

Journal of Mathematical Sciences, 2004
This paper is a survey about the recent developments, together with some of their applications, of residue theory from the current point of view, focusing particularly on the various asymptotic aspects, in the complete as well as noncomplete intersection case. From the Contents: Residue integral and Coleff-Herrera residue current.
Tsikh, August, Yger, Alain
openaire   +2 more sources

Residual Feature Aggregation Network for Image Super-Resolution

Computer Vision and Pattern Recognition, 2020
Recently, very deep convolutional neural networks (CNNs) have shown great power in single image super-resolution (SISR) and achieved significant improvements against traditional methods.
Jie Liu   +4 more
semanticscholar   +1 more source

Numerical residues

Image and Vision Computing, 2005
Binary morphological transformations based on the residues (ultimate erosion, skeleton by openings, etc.) and their associated functions which are based on the analysis of the residue evolution in every point of the image are extended to functions.
openaire   +1 more source

Residual lymphocele

Urology, 1985
Uncomplicated lymphoceles can cause lateral extrinsic compression of the sigmoid colon. Ultrasound is the study of choice to define these cystic collections, which may persist many months as a postoperative complication of pelvic lymph node dissection.
openaire   +2 more sources

Attention Residual Learning for Skin Lesion Classification

IEEE Transactions on Medical Imaging, 2019
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnostic performance and reduce melanoma deaths.
Jianpeng Zhang   +3 more
semanticscholar   +1 more source

Drug Residues

2010
The use of veterinary drugs in animal production is necessary for the prevention and treatment of disease; however, such use may result in residues. Regulatory authorities administer legislative frameworks which ensure that foods derived from animals treated with approved veterinary drugs are safe for human consumption.
openaire   +2 more sources

DISTRIBUTION OF AMINO ACID RESIDUES AND RESIDUE-RESIDUE CONTACTS IN MOLECULAR CHAPERONES

Preparative Biochemistry and Biotechnology, 2001
The amino acid distribution and residue-residue contacts in molecular chaperones are different when compared to normal globular proteins. The study of molecular chaperones reveals a different surrounding environment to exist for the residues Cys, Trp, and His which may play an important role in determining the chaperone structures.
T S, Kumarevel   +2 more
openaire   +2 more sources

Residual inhibition

2007
Following offset of an appropriate masking stimulus, tinnitus may remain suppressed for a period, typically less than a minute. This phenomenon is known as "residual inhibition" (RI). This chapter reviews the psychoacoustic properties of RI and their relation to hearing impairment, tinnitus spectra, and the spectra of masking stimuli.
openaire   +2 more sources

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