Titlebook: Second International Conference on Image Processing and Capsule Networks; ICIPCN 2021 Joy Iong-Zong Chen,João Manuel R. S. Tavares,Ke-Li Co

提名

Conference proceedings 2022image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, acc

HUMID

Joy Iong-Zong Chen,João Manuel R. S. Tavares,Ke-LiPresents recent research on image processing and capsule networks.Includes proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2021).Shows how to discover more

左右连贯

Lecture Notes in Networks and Systemshttp://image.papertrans.cn/s/image/863136.jpg

受辱

https://doi.org/10.1007/978-3-030-84760-9Image Processing; Capsule Networks; Artificial Neural Networks; Neuro-fuzzy control; Genetic Algorithms;

Solace

978-3-030-84759-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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COW

Machine Learning Based Detection and Classification of Heart Abnormalities, machine learning resulted in improved accuracy and reduced variability in comparison to manual quantification of echocardiographic parameters. A hybrid algorithm (Image enhancement and denoising both carried out in preprocessing task) is developed in this article which can efficiently and effective

PAEAN

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A Novel Multi-objective Differential Evolution Algorithm for Clustering Data Streams,e dataset, three targets are considered. Our experimental results show that the proposed algorithm with three objectives perform better in the prediction of the total number of clusters in the dataset as compared to some single objective as well as some existing multi-objective algorithms. Moreover,

挖掘

An Algorithm for Pre-processing of Areca Nut for Quality Classification, In this paper, we explore eight different techniques of image pre-processing and it has been observed that Contrast-Limited Adaptive Histogram Equalization, Anisotropic Diffusion Edge Preserving Filter and K-Means segmentation gives best results for applications involving Areca nut segregation.