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Receding horizon stabilization and disturbance attenuation for neural networks with time-varying delay
This paper is concerned with the problems of receding horizon stabilization and disturbance
attenuation for neural networks with time-varying delay. New delay-dependent conditions on …
attenuation for neural networks with time-varying delay. New delay-dependent conditions on …
cDNA microarray image processing using fuzzy vector filtering framework
This paper presents a novel filtering framework capable of processing cDNA microarray
images. The proposed two-component adaptive vector filters integrate well-known concepts …
images. The proposed two-component adaptive vector filters integrate well-known concepts …
A multichannel order-statistic technique for cDNA microarray image processing
This paper introduces an automated image processing procedure capable of processing
complementary deoxyribonucleic acid (cDNA) microarray images. Microarray data is …
complementary deoxyribonucleic acid (cDNA) microarray images. Microarray data is …
[HTML][HTML] Computer-aided bacillus detection in whole-slide pathological images using a deep convolutional neural network
Mycobacterial infections continue to greatly affect global health and result in challenging
histopathological examinations using digital whole-slide images (WSIs), histopathological …
histopathological examinations using digital whole-slide images (WSIs), histopathological …
Signal processing techniques in genomic engineering
Now that the human genome has been sequenced, the measurement, processing, and
analysis of specific genomic information in real time are gaining considerable interest …
analysis of specific genomic information in real time are gaining considerable interest …
L∞ performance of single and interconnected neural networks with time-varying delay
This paper is concerned with the L∞ performance analysis problem for time-varying delayed
neural networks. First, a condition is proposed for the L∞ performance of single neural …
neural networks. First, a condition is proposed for the L∞ performance of single neural …
[HTML][HTML] A hybrid bionic image sensor achieving FOV extension and foveated imaging
Based on bionic compound eye and human foveated imaging mechanisms, a hybrid bionic
image sensor (HBIS) is proposed in this paper to extend the field of view (FOV) with high …
image sensor (HBIS) is proposed in this paper to extend the field of view (FOV) with high …
Genetic programming in data mining for drug discovery
Genetic programming (GP) is used to extract from rat oral bioavailability (OB) measurements
simple, interpretable and predictive QSAR models which both generalize to rats and to …
simple, interpretable and predictive QSAR models which both generalize to rats and to …
Existence and global stability of a periodic solution for a cellular neural network
Purpose of this study is to investigate the dynamical properties of Chua and Yang cellular
neural networks (CNNs). Based on the continuation theorem of coincidence degree theory …
neural networks (CNNs). Based on the continuation theorem of coincidence degree theory …
Real-time processing and compression of DNA microarray images
In this paper, we present a pipeline architecture specifically designed to process and
compress DNA microarray images. Many of the pixilated image generation methods …
compress DNA microarray images. Many of the pixilated image generation methods …