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Applications of optical microcombs
Optical microcombs represent a new paradigm for generating laser frequency combs based
on compact chip-scale devices, which have underpinned many modern technological …
on compact chip-scale devices, which have underpinned many modern technological …
Computer-aided diagnosis of skin cancer: a review
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
Quantifying the accuracy of microcomb-based photonic RF transversal signal processors
Photonic RF transversal signal processors, which are equivalent to reconfigurable electrical
digital signal processors but implemented with photonic technologies, are attractive for high …
digital signal processors but implemented with photonic technologies, are attractive for high …
Optimizing the accuracy of microcomb-based microwave photonic transversal signal processors
Microwave photonic (MWP) transversal signal processors offer a compelling solution for
realizing versatile high-speed information processing by combining the advantages of …
realizing versatile high-speed information processing by combining the advantages of …
An enhancement method for X-ray image via fuzzy noise removal and homomorphic filtering
Many practical images captured from X-ray systems not only are corrupted by noise, but also
are of non-uniformity and low-luminance. Enhancing these images by noise removal, gray …
are of non-uniformity and low-luminance. Enhancing these images by noise removal, gray …
Entropy-based breast cancer detection in digital mammograms using world cup optimization algorithm
Breast cancer is one of the deadliest cancers for women. Early detection of skin cancer gives
a high chance for the women to escape from the malady and obtain a cure at the initial …
a high chance for the women to escape from the malady and obtain a cure at the initial …
Structure-adaptive fuzzy estimation for random-valued impulse noise suppression
Noise detection accuracy is crucial in suppressing random-valued impulse noise. Both false
and miss detections determine the final estimation performance. Deterministic detection …
and miss detections determine the final estimation performance. Deterministic detection …
Fast averaging peer group filter for the impulsive noise removal in color images
In the paper, a new approach to the impulsive noise removal in color images is presented.
The new filtering design is based on the peer group concept, which determines the …
The new filtering design is based on the peer group concept, which determines the …
A weighted mean filter with spatial-bias elimination for impulse noise removal
In this paper, we propose Unbiased Weighted Mean Filter (UWMF) for removing high-
density impulse noise. Asymmetric distribution of corrupted pixels in the filtering window …
density impulse noise. Asymmetric distribution of corrupted pixels in the filtering window …
Multilevel information fusion for cryptographic substitution box construction based on inevitable random noise in medical imaging
Block cipher has been a standout amongst the most reliable option by which data security is
accomplished. Block cipher strength against various attacks relies on substitution boxes. In …
accomplished. Block cipher strength against various attacks relies on substitution boxes. In …