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Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; Multidimensional Sig Lakhmi C. Jain,Roumen Kountchev,Roumiana Kountchev Co

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发表于 2025-3-21 18:58:59 | 显示全部楼层 |阅读模式
期刊全称3D Imaging—Multidimensional Signal Processing and Deep Learning
期刊简称Multidimensional Sig
影响因子2023Lakhmi C. Jain,Roumen Kountchev,Roumiana Kountchev
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发行地址Presents research works in the field of 3D imaging technologies.Gather the outcomes of the 3DIT-MSP&DL2021, held in Kunming, China.Offers a reference guide for researchers and practitioners in academi
学科分类Smart Innovation, Systems and Technologies
图书封面Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; Multidimensional Sig Lakhmi C. Jain,Roumen Kountchev,Roumiana Kountchev Co
影响因子.This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers aimed at the multidimensional systems and signal processing, deep learning, mathematical approaches and the related applications. The related topics are multidimensional multi-component image processing; multidimensional image representation and super-resolution; compression of multidimensional spatio-temporal images; multidimensional image transmission systems; multidimensional signal processing; prediction and filtering of multidimensional process; intelligent multi-spectral and hyper-spectral image processing, intelligent multi-view image processing, 3D deep learning, 3D GIS and graphic database; data-based MD image retrieval and know
Pindex Conference proceedings 2022
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书目名称3D Imaging—Multidimensional Signal Processing and Deep Learning网络公开度学科排名




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书目名称3D Imaging—Multidimensional Signal Processing and Deep Learning被引频次学科排名




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Kanuj Thenua,M. Shanmuga Sundaramthe truck category data were expanded to form the experimental dataset. Experimental results show that this method makes AP worth improving compared with the improved YOLOv4 convolutional network model and has good tracking effect on targets appearing in the camera.
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Josef Hegger,Norbert Will,Karolin Rübergning on the FPGA processor in the infrared imaging circuit, and the correction effect is remarkable: the average grayscale variance of the image column before correction is 1980.6, and after correction is 209.17, which is an improvement of 89.44% compared with that before correction.
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Aicha Kamen,Emmanuel Denarié,Eugen Brühwilerpaper takes the network intrusion detection system as an example to study the performance of BP neural network algorithm used in it, so as to provide an effective basis for the development of modern education.
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2190-3018 reference guide for researchers and practitioners in academi.This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all con
发表于 2025-3-22 23:41:34 | 显示全部楼层
https://doi.org/10.1007/978-3-319-61927-9globally stable, and the second complex system of the system 1 is asymptotically stable when the basic regeneration number of the system 1 is less than or equal to 1. Then, it is proved that the only positive equilibrium of the system 1 is globally stable when the basic regeneration number is greater than 1.
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Modeling of Rubberlike Materials,is of understanding the development status of Power News Information based on artificial intelligence and unstructured data resource management platform, this paper deeply discusses the system design requirements and carries out functional experimental analysis of the design system.
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