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: Cloud Computing, Big Data & Emerging Topics; 9th Conference, JCC- Marcelo Naiouf,Enzo Rucci,Laura De Giusti Conference proceedings 2021 Spr

[復(fù)制鏈接]
樓主: EFFCT
31#
發(fā)表于 2025-3-27 00:44:42 | 只看該作者
32#
發(fā)表于 2025-3-27 02:35:47 | 只看該作者
33#
發(fā)表于 2025-3-27 08:16:56 | 只看該作者
34#
發(fā)表于 2025-3-27 12:02:05 | 只看該作者
35#
發(fā)表于 2025-3-27 16:50:54 | 只看該作者
1865-0929 l of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization...*The conference was held virtually due to the COVID-19 pandemic..978-3-030-84824-8978-3-030-84825-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
36#
發(fā)表于 2025-3-27 19:25:59 | 只看該作者
1865-0929 &ET 2021, held in La Plata, Argentina*, in June 2021..The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and
37#
發(fā)表于 2025-3-27 23:26:47 | 只看該作者
38#
發(fā)表于 2025-3-28 04:07:46 | 只看該作者
Detection of Crop Lines and Weeds in Corn Fields Based on Images Obtained from a Dronecrop exclusion, weed detection, this allows separating the weed from the crop lines detected in the images captured at 5, 10, and 15 m in height. The results obtained show that the crop lines (85%) and weeds (34.61%) of the total vegetation can be better identified in the fourth week 15 m high. With
39#
發(fā)表于 2025-3-28 06:48:39 | 只看該作者
A Comparison of Neural Networks for?Sign Language Recognition with?LSA64ll previous models, many specifically designed for this task. Furthermore, we perform ablation studies that indicate that temporal data augmentation can provide a significant boost to accuracy, unlike traditional spatial data augmentation techniques. Finally, we analyze the activation values of the
40#
發(fā)表于 2025-3-28 11:18:45 | 只看該作者
Library for Multidimensional Data Visualizationy. In this paper, we present the . Library, a data visualization library supporting Non-Paired General Line Coordinates (.) with associated traditional interactions like brushing, zooming, and panning. . is a collection of visualization methods, designed for experimenting with . techniques in the de
 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|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 17:23
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
电白县| 隆昌县| 易门县| 青田县| 南和县| 云浮市| 西藏| 寿宁县| 绥滨县| 团风县| 墨竹工卡县| 天峨县| 廉江市| 铜陵市| 牙克石市| 安龙县| 綦江县| 丹巴县| 诸城市| 北碚区| 彭泽县| 新营市| 海丰县| 含山县| 彭阳县| 长岭县| 旺苍县| 静安区| 察雅县| 大余县| 凤冈县| 怀宁县| 梓潼县| 瓦房店市| 大理市| 峡江县| 贺州市| 乾安县| 彭泽县| 惠安县| 罗定市|