提名
发表于 2025-3-30 09:00:24
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
发表于 2025-3-30 14:44:22
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
发表于 2025-3-30 16:42:02
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/s/image/863136.jpg
受辱
发表于 2025-3-30 22:09:53
https://doi.org/10.1007/978-3-030-84760-9Image Processing; Capsule Networks; Artificial Neural Networks; Neuro-fuzzy control; Genetic Algorithms;
Solace
发表于 2025-3-31 02:27:02
978-3-030-84759-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Meager
发表于 2025-3-31 06:23:29
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COW
发表于 2025-3-31 12:10:37
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
发表于 2025-3-31 14:01:18
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路标
发表于 2025-3-31 18:17:30
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
发表于 2025-3-31 22:29:24
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.