Results 21 to 30 of about 20,295 (253)
Construction of adaptive pulse coupled neural network for abnormality detection in medical images
Applied Artificial Intelligence, 2018 In this article, we propose a customized pulse coupled neural network for image segmentation to detect the different classes of skin lesions by minimizing the number of pixels as image harmonics.
Pawan Kumar Upadhyay, Satish Chandra
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Computers, 2022 Deep learning models yield remarkable results in skin lesions analysis. However, these models require considerable amounts of data, while accessibility to the images with annotated skin lesions is often limited, and the classes are often imbalanced. Data
Esther Chabi Adjobo +3 more
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International Journal of Distributed Sensor Networks, 2017 Microscopy image fusion, as a new item in related research field, has been extensively used in integrated-circuit defect detection and intaglio-plate-microstructure observation. In this article, a novel microscopy image fusion algorithm based on saliency
Tao Yan, Fengxian Liu, Bin Chen
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Underground image denoising method based on improved simplified pulse coupled neural network
Gong-kuang zidonghua, 2014 In order to solve problems of traditional image denoising methods such as image blur, edge information loss and so on, an image denoising method based on improved simplified pulse coupled neural network was proposed according to characteristics of ...
FENG Weibing, HU Junmei, CAO Genniu
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Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD)
Advances in Electrical and Computer Engineering, 2018 Near Duplicate images are variants of original image with some transformations / manipulations / forgeries in it. The illegal copies of images are identified to protect copyright enforcement and reduce redundancy. The existing works in ND detection are
THYAGHARAJAN, K. K., KALAIARASI, G.
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Collective chaos in pulse-coupled neural networks [PDF]
EPL (Europhysics Letters), 2010 We study the dynamics of two symmetrically coupled populations of identical leaky integrate-and-fire neurons characterized by an excitatory coupling. Upon varying the coupling strength, we find symmetry-breaking transitions that lead to the onset of various chimera states as well as to a new regime, where the two populations are characterized by a ...
Olmi S, Politi A, Torcini A
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Complex networks: when random walk dynamics equals synchronization
New Journal of Physics, 2012 Synchrony prevalently emerges from the interactions of coupled dynamical units. For simple systems such as networks of phase oscillators, the asymptotic synchronization process is assumed to be equivalent to a Markov process that models standard ...
Birgit Kriener, Lishma Anand, Marc Timme
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NSCT‐PCNN image fusion based on image gradient motivation
IET Computer Vision, 2018 Pulse coupled neural network (PCNN) is widely used in image processing because of its unique biological characteristics, which is suitable for image fusion.
Shifei Ding +4 more
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Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
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Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
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