Improved sparse representation algorithm for optical coherence tomography images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22711
Abstract: An improved sparse representation algorithm is proposed for reducing speckle noise in optical coherence tomography (OCT) images. To reduce the dictionary training time, the orthogonal matching pursuit algorithm (OMP) is replaced by a piecewise orthogonal… read more here.
Keywords: optical coherence; improved sparse; representation algorithm; sparse representation ... See more keywords
Coefficient-Gradient-Based Individualized Stepsize Adaptation Mechanism for Robust System Identification
Sign Up to like & getrecommendations! Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01612-6
Abstract: To efficiently reduce the impact of the trading-off between the convergence rate and the quality of identifying a system, and also to improve the robustness of the algorithm against unknown sparsity levels, a Modified Absolute… read more here.
Keywords: system; gradient based; coefficient; proposed algorithm ... See more keywords
Orthogonal Least Absolute Value for Sparse Spike Deconvolution
Sign Up to like & getrecommendations! Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-021-01667-z
Abstract: Several phenomena encountered in nature are characterized by very localized events occurring randomly at given times. Random pulses are an appropriate modelling tool for such events. Usually, the impulses are hidden in the noise due… read more here.
Keywords: orthogonal least; least absolute; deconvolution; absolute value ... See more keywords
Application of a new accelerated algorithm to regression problems
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03984-7
Abstract: Many iterative algorithms like Picard, Mann, Ishikawa are very useful to solve fixed point problems of nonlinear operators in real Hilbert spaces. The recent trend is to enhance their convergence rate abruptly by using inertial… read more here.
Keywords: regression; application new; accelerated algorithm; new accelerated ... See more keywords
PPO: a new nature-inspired metaheuristic algorithm based on predation for optimization
Sign Up to like & getrecommendations! Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-021-06404-x
Abstract: Researchers from different domains have developed several metaheuristic algorithms that are inspired by the biological phenomenon. In this work, we propose a novel algorithm that is inspired by the prey–predator interaction of animals. In the… read more here.
Keywords: proposed algorithm; optimizer; predator; optimization ... See more keywords
Semi-supervised adaptive feature analysis and its application for multimedia understanding
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4990-5
Abstract: Multimedia understanding for high dimensional data is still a challenging work, due to redundant features, noises and insufficient label information it contains. Graph-based semi-supervised feature learning is an effective approach to address this problem. Nevertheless,… read more here.
Keywords: feature; semi supervised; based semi; multimedia understanding ... See more keywords
Manifold-defect depth-map restoration for very low-cost S3D videos
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6804-9
Abstract: In this paper, the proposed algorithm provides a fluent and efficient method for repairing very-low quality depth maps of considerable manifold defects for low-cost stereoscopic 3D (S3D) photographing that such a depth map can be… read more here.
Keywords: depth; s3d; low cost; depth map ... See more keywords
Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-021-00800-0
Abstract: This paper is mainly aimed at the decomposition of image quality assessment study by using Three Parameter Logistic Mixture Model and k-means clustering (TPLMM-k). This method is mainly used for the analysis of various images… read more here.
Keywords: means clustering; digital images; model; identifying presence ... See more keywords
Adaptive grid semidefinite programming for finding optimal designs
Sign Up to like & getrecommendations! Published in 2018 at "Statistics and Computing"
DOI: 10.1007/s11222-017-9741-y
Abstract: We find optimal designs for linear models using a novel algorithm that iteratively combines a semidefinite programming (SDP) approach with adaptive grid techniques. The proposed algorithm is also adapted to find locally optimal designs for… read more here.
Keywords: semidefinite programming; find optimal; adaptive grid; proposed algorithm ... See more keywords
Advanced Secured Routing Algorithm of Vehicular Ad-Hoc Network
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5824-0
Abstract: Advances in wireless communication have opened up significant avenues wherein vehicles can themselves communicate with other vehicles and roadside infrastructure strategically placed at critical sections of the road. However, the large-scale acceptance of vehicular ad… read more here.
Keywords: vehicular hoc; network; vehicle; security ... See more keywords
Corona Based Optimal Node Deployment Distribution in Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5842-y
Abstract: In this paper, an adjacent coronas based network architecture in which nodes are deployed in accordance with a probability density function (PDF) is proposed. The intrinsic characteristics of the PDF with optimal placement and number… read more here.
Keywords: deployment; based optimal; corona based; wireless ... See more keywords