找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 35081|回復(fù): 67
樓主
發(fā)表于 2025-3-21 18:58:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱3D Imaging—Multidimensional Signal Processing and Deep Learning
期刊簡(jiǎn)稱Multidimensional Sig
影響因子2023Lakhmi C. Jain,Roumen Kountchev,Roumiana Kountchev
視頻videohttp://file.papertrans.cn/101/100736/100736.mp4
發(fā)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
學(xué)科分類Smart Innovation, Systems and Technologies
圖書(shū)封面Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; Multidimensional Sig Lakhmi C. Jain,Roumen Kountchev,Roumiana Kountchev Co
影響因子.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
The information of publication is updating

書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning影響因子(影響力)




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning影響因子(影響力)學(xué)科排名




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning被引頻次




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning被引頻次學(xué)科排名




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning年度引用




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning年度引用學(xué)科排名




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning讀者反饋




書(shū)目名稱3D Imaging—Multidimensional Signal Processing and Deep Learning讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:19:06 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:40:18 | 只看該作者
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.
地板
發(fā)表于 2025-3-22 07:36:44 | 只看該作者
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.
5#
發(fā)表于 2025-3-22 10:05:00 | 只看該作者
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.
6#
發(fā)表于 2025-3-22 15:08:49 | 只看該作者
7#
發(fā)表于 2025-3-22 19:30:22 | 只看該作者
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
8#
發(fā)表于 2025-3-22 23:41:34 | 只看該作者
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.
9#
發(fā)表于 2025-3-23 02:09:03 | 只看該作者
10#
發(fā)表于 2025-3-23 05:35:57 | 只看該作者
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 12:57
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
原平市| 大渡口区| 勃利县| 聂拉木县| 无为县| 灵武市| 万盛区| 云梦县| 龙泉市| 莱阳市| 民勤县| 太原市| 中山市| 全州县| 玉环县| 万盛区| 高雄县| 慈利县| 丹东市| 隆安县| 江山市| 乌鲁木齐市| 琼结县| 广水市| 遵化市| 宝丰县| 井陉县| 竹溪县| 潍坊市| 九寨沟县| 亚东县| 错那县| 定安县| 苍山县| 山阳县| 麟游县| 保定市| 蚌埠市| 沂南县| 贵溪市| 安阳市|