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: Intelligent Computing Theories and Application; 14th International C De-Shuang Huang,Kang-Hyun Jo,Xiao-Long Zhang Conference proceedings 20

[復(fù)制鏈接]
查看: 13866|回復(fù): 60
樓主
發(fā)表于 2025-3-21 16:04:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Intelligent Computing Theories and Application
副標(biāo)題14th International C
編輯De-Shuang Huang,Kang-Hyun Jo,Xiao-Long Zhang
視頻videohttp://file.papertrans.cn/470/469480/469480.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Intelligent Computing Theories and Application; 14th International C De-Shuang Huang,Kang-Hyun Jo,Xiao-Long Zhang Conference proceedings 20
描述.This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning A
出版日期Conference proceedings 2018
關(guān)鍵詞Supervised learning; Unsupervised learning; Reinforcement learning; Semi-supervised learning; Data minin
版次1
doihttps://doi.org/10.1007/978-3-319-95933-7
isbn_softcover978-3-319-95932-0
isbn_ebook978-3-319-95933-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

書(shū)目名稱(chēng)Intelligent Computing Theories and Application影響因子(影響力)




書(shū)目名稱(chēng)Intelligent Computing Theories and Application影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Intelligent Computing Theories and Application網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Intelligent Computing Theories and Application網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Intelligent Computing Theories and Application被引頻次




書(shū)目名稱(chēng)Intelligent Computing Theories and Application被引頻次學(xué)科排名




書(shū)目名稱(chēng)Intelligent Computing Theories and Application年度引用




書(shū)目名稱(chēng)Intelligent Computing Theories and Application年度引用學(xué)科排名




書(shū)目名稱(chēng)Intelligent Computing Theories and Application讀者反饋




書(shū)目名稱(chēng)Intelligent Computing Theories and Application讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:49:33 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:37:19 | 只看該作者
地板
發(fā)表于 2025-3-22 05:39:15 | 只看該作者
Deep Convolutional Neural Network for Fog Detection,n and life. In this paper, based on meterological satellite data (Himawari-8 standard data, HSD8), Covolutional Neural Network (CNN) is used to detect fog. Since HSD8 consists of 16 channels, the original CNN is extended to multiple channels for HSD8. Multiple Channels CNN (MCCNN) can make the full
5#
發(fā)表于 2025-3-22 09:14:07 | 只看該作者
6#
發(fā)表于 2025-3-22 13:04:24 | 只看該作者
7#
發(fā)表于 2025-3-22 19:53:24 | 只看該作者
8#
發(fā)表于 2025-3-22 22:23:44 | 只看該作者
9#
發(fā)表于 2025-3-23 04:30:21 | 只看該作者
10#
發(fā)表于 2025-3-23 07:13:08 | 只看該作者
A Fast Algorithm for Image Segmentation Based on Local Chan Vese Model, based on the steepest descent method and finite difference scheme. In this paper, we propose a sweeping algorithm to minimize Local Chan Vese (LCV) model. We calculate the energy change when a pixel is moved from the outside region to the inside region of evolving curves and vice versa, instead of
 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, 2026-1-20 22:02
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
彩票| 曲水县| 嘉峪关市| 金乡县| 环江| 湄潭县| 万盛区| 中西区| 威海市| 横山县| 鹤山市| 龙井市| 德阳市| 尚义县| 民乐县| 同德县| 陆川县| 中卫市| 丹阳市| 高雄市| 贵定县| 黄浦区| 平远县| 呼伦贝尔市| 汉川市| 屏山县| 桑日县| 宜黄县| 宿州市| 沭阳县| 金山区| 来宾市| 察哈| 大方县| 丰城市| 阳谷县| 泸州市| 芜湖县| 新河县| 沙雅县| 云安县|