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 Trends in Information and Communication Technology; Proceedings of the 2 Faisal Saeed,Nadhmi Gazem,Fathey Mohammed Conference procee

[復(fù)制鏈接]
樓主: 閃爍
41#
發(fā)表于 2025-3-28 17:54:16 | 只看該作者
Experimental Performance Analysis of B+-Trees with Big Data Indexing PotentialsPartitioned Simple Prefix B+-tree. In the experiment, factors for index approach evaluation are used to evaluate and compare the performance of the data structures. The experimental results showed that Partitioned B+-tree has in sum performed better in terms of execution time than the remaining B+-t
42#
發(fā)表于 2025-3-28 22:43:17 | 只看該作者
43#
發(fā)表于 2025-3-29 00:41:32 | 只看該作者
44#
發(fā)表于 2025-3-29 05:59:37 | 只看該作者
Mobile Augmented Reality Tourism Application Frameworked are according to their needs and expectations. Descriptive and factor analysis were used to analyze the data. Based on the results, the components proposed have a high-reliability index, indicating that the components are acceptable. The findings provide a foundation into constructing mobile augm
45#
發(fā)表于 2025-3-29 09:33:34 | 只看該作者
Adaptive Memory Size Based Fuzzy Control for Mobile Pedestrian Navigationrent particle filter development processes. At the beginning of the operational process, the AMSFC selector is used to select a suitable resampling algorithm (for example, systematic resampling or rounding copy resampling) based on the physical memory of current computing devices. If systematic resa
46#
發(fā)表于 2025-3-29 13:09:34 | 只看該作者
47#
發(fā)表于 2025-3-29 16:26:17 | 只看該作者
Hasanin Mohammed Salman,Wan Fatimah Wan Ahmad,Suziah Sulaimanitten in an essayistic, readable style, which can be understood as an experimental form of writing..This book is a translation of the doctoral thesis ‘Experiment und Exploration. Bildung als experimentelle Form978-94-024-0056-4978-94-017-8709-3Series ISSN 2214-9759 Series E-ISSN 2214-9767
48#
發(fā)表于 2025-3-29 20:38:30 | 只看該作者
49#
發(fā)表于 2025-3-30 00:10:03 | 只看該作者
Prediction of Financial Distress for Electricity Sectors Using Data Miningd financial distress warning models based on the financial statement analysis method. The analysis reveal that neural networks with the accuracy of 80% and above in different scenarios were found to be relatively more accurate compared to decision trees and support vector machines. Additionally, in
50#
發(fā)表于 2025-3-30 07:45:51 | 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|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 10:55
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
大宁县| 高邮市| 高雄市| 华池县| 田林县| 伽师县| 北安市| 安阳县| 南漳县| 城固县| 万全县| 高雄市| 大足县| 肥西县| 辽中县| 景谷| 柯坪县| 庆城县| 临清市| 红桥区| 叶城县| 婺源县| 赤峰市| 简阳市| 古交市| 晋州市| 苍南县| 疏勒县| 北安市| 方城县| 屏边| 叶城县| 勃利县| 武汉市| 五家渠市| 沂南县| 九龙县| 墨竹工卡县| 黔江区| 武功县| 当涂县|