找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Recent Challenges in Intelligent Information and Database Systems; 14th Asian Conferenc Edward Szczerbicki,Krystian Wojtkiewicz,Marek Krót

[復(fù)制鏈接]
查看: 36984|回復(fù): 62
樓主
發(fā)表于 2025-3-21 20:08:53 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Challenges in Intelligent Information and Database Systems
副標(biāo)題14th Asian Conferenc
編輯Edward Szczerbicki,Krystian Wojtkiewicz,Marek Krót
視頻videohttp://file.papertrans.cn/824/823091/823091.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Recent Challenges in Intelligent Information and Database Systems; 14th Asian Conferenc Edward Szczerbicki,Krystian Wojtkiewicz,Marek Krót
描述This book constitutes the refereed proceedings of the?14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held in Ho Chi Minh City, Vietnam, in November 2022.??.?This volume contains 60 peer-reviewed papers selected for poster presentation from 406 submissions. Papers included in this volume cover the following topics: data mining and machine learning methods, advanced data mining techniques and applications, intelligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0.
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; computational linguistics; computer vision; correlation analysis; data mining; d
版次1
doihttps://doi.org/10.1007/978-981-19-8234-7
isbn_softcover978-981-19-8233-0
isbn_ebook978-981-19-8234-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Recent Challenges in Intelligent Information and Database Systems影響因子(影響力)




書目名稱Recent Challenges in Intelligent Information and Database Systems影響因子(影響力)學(xué)科排名




書目名稱Recent Challenges in Intelligent Information and Database Systems網(wǎng)絡(luò)公開度




書目名稱Recent Challenges in Intelligent Information and Database Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Recent Challenges in Intelligent Information and Database Systems被引頻次




書目名稱Recent Challenges in Intelligent Information and Database Systems被引頻次學(xué)科排名




書目名稱Recent Challenges in Intelligent Information and Database Systems年度引用




書目名稱Recent Challenges in Intelligent Information and Database Systems年度引用學(xué)科排名




書目名稱Recent Challenges in Intelligent Information and Database Systems讀者反饋




書目名稱Recent Challenges in Intelligent Information and Database Systems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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:36:54 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:00:34 | 只看該作者
978-981-19-8233-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
地板
發(fā)表于 2025-3-22 05:13:12 | 只看該作者
5#
發(fā)表于 2025-3-22 10:54:19 | 只看該作者
,Machine Learning-Based Recommender System for?Tweeting Factory in?Industry 5.0 Paradigm,asic concepts are discussed. It is indicated how the proposed solution fulfills the requirements concerning Industry 5.0 paradigm. The system also utilizes the idea of the Tweeting Factory [.] paradigm, making it easy to apply in various industry branches.
6#
發(fā)表于 2025-3-22 15:23:36 | 只看該作者
7#
發(fā)表于 2025-3-22 18:30:44 | 只看該作者
,Exploring the?Effect of?Vehicle Appearance and?Motion for?Natural Language-Based Vehicle Retrieval,iency of each contribution in the overall framework. It confirms that not only appearance but additional motion cues are promising for vehicle retrieval, which provides the results of MRR, Rank@5 and Rank@10 are 0.2333, 0.3587 and 0.4837, respectively.
8#
發(fā)表于 2025-3-22 22:15:32 | 只看該作者
,Explaining Predictive Scheduling in?Cloud,n terms of computation. This paper first predicts resource usage in terms of CPU by applying the lightGBM model to a real dataset. Furthermore, using the explanations of SHapley Additive exPlanations (SHAP) in combination with the K-Nearest Neighbor (KNN) to interpolate missing values in the dataset
9#
發(fā)表于 2025-3-23 01:46:35 | 只看該作者
10#
發(fā)表于 2025-3-23 07:11:07 | 只看該作者
 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 期刊點評 投稿經(jīng)驗總結(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-20 20:58
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
黄浦区| 喜德县| 禹州市| 方城县| 龙州县| 娱乐| 新兴县| 柳江县| 汉川市| 措勤县| 汕尾市| 德保县| 苏尼特左旗| 乡城县| 惠来县| 临朐县| 周至县| 茌平县| 阿尔山市| 从江县| 藁城市| 成都市| 包头市| 平顶山市| 怀远县| 綦江县| 九龙坡区| 兴山县| 定结县| 泗洪县| 柘城县| 乌恰县| 微博| 襄垣县| 繁昌县| 乳山市| 囊谦县| 玉屏| 奇台县| 阿拉尔市| 武平县|