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: Data Science: New Issues, Challenges and Applications; Gintautas Dzemyda,Jolita Bernatavi?ien?,Janusz Kac Book 2020 Springer Nature Switze

[復(fù)制鏈接]
樓主: Radiofrequency
31#
發(fā)表于 2025-3-26 23:35:56 | 只看該作者
J. J. Grannell,M. J. A. O’Callaghanration of neural networks. The problem of searching for aircraft in images is considered as an example. Some results of aircraft detection are presented in this paper. Image processing took place in distributed data processing system that also described in this paper.
32#
發(fā)表于 2025-3-27 02:53:30 | 只看該作者
33#
發(fā)表于 2025-3-27 07:49:23 | 只看該作者
34#
發(fā)表于 2025-3-27 12:18:50 | 只看該作者
35#
發(fā)表于 2025-3-27 15:06:01 | 只看該作者
36#
發(fā)表于 2025-3-27 19:12:21 | 只看該作者
Lecture Notes in Computer Sciencea nonstationary signal and a comparison of decomposition of randomly generated signals using stability and noise robustness analysis is provided. Our results show that the proposed method can provide more stable results than EMD as indicated by the odd-even reliability and noise robustness analysis.
37#
發(fā)表于 2025-3-27 22:31:00 | 只看該作者
38#
發(fā)表于 2025-3-28 05:59:06 | 只看該作者
Object Detection in Aerial Photos Using Neural Networks,ration of neural networks. The problem of searching for aircraft in images is considered as an example. Some results of aircraft detection are presented in this paper. Image processing took place in distributed data processing system that also described in this paper.
39#
發(fā)表于 2025-3-28 07:58:29 | 只看該作者
Non-standard Distances in High Dimensional Raw Data Stream Classification,ensionality larger than 1000 features. Results show that the proposed method in most cases performs better than or similarly to other standard stream classification algorithms. All experiments and comparisons were performed in a Massive Online Analysis (MOA) environment.
40#
發(fā)表于 2025-3-28 11:46:22 | 只看該作者
Data Analysis in Setting Action Plans of Telecom Operators,he issues of telecom operators that support data for these services, examples of services and the potential users of them, possible solutions to the architectural and methodological implementation. All these aspects will be exemplified by using practical results.
 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, 2025-10-13 08:06
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
枞阳县| 云阳县| 彝良县| 四子王旗| 龙陵县| 清流县| 新绛县| 开化县| 普兰县| 内黄县| 满城县| 慈利县| 藁城市| 皋兰县| 菏泽市| 绵竹市| 武城县| 阳城县| 吉林省| 嵩明县| 莒南县| 曲阳县| 柘荣县| 饶平县| 南木林县| 开原市| 如皋市| 普宁市| 阳西县| 阿克陶县| 贵溪市| 宜丰县| 始兴县| 庆城县| 文登市| 淮安市| 陵水| 铜梁县| 温州市| 金平| 得荣县|