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: Data and Communication Networks; Proceedings of GUCON Lakhmi C. Jain,Valentina E. Balas,Prashant Johri Conference proceedings 2019 Springer

[復(fù)制鏈接]
樓主: Objective
51#
發(fā)表于 2025-3-30 09:31:16 | 只看該作者
52#
發(fā)表于 2025-3-30 12:28:07 | 只看該作者
53#
發(fā)表于 2025-3-30 20:26:54 | 只看該作者
Dirk T. Tempelaar,Bart Rienties,Bas Giesbersesponses such as settling, rise, peak time, undershoot, and overshoot. Thus to optimized the parameters by minimizing integral square error (ISE) of the given system is improved by the proposed method.
54#
發(fā)表于 2025-3-30 21:13:10 | 只看該作者
55#
發(fā)表于 2025-3-31 02:08:21 | 只看該作者
Protecting Multicast Sessions Against Single-Link Failure in Survivable WDM Mesh Networks,rmance of the proposed schemes is evaluated and compared with the reported state-of-the-art algorithm in the presence of dynamic traffic. An improvement of 7–15% is achieved using blocking probability as a performance metric.
56#
發(fā)表于 2025-3-31 06:37:09 | 只看該作者
57#
發(fā)表于 2025-3-31 11:01:26 | 只看該作者
Selection of Software Development Model Using TOPSIS Methodology,es the defined options after evaluating them against confliction and multiple attributes. The research proposes a decision-making framework for the selection of software development model using one of the widely accepted multicriteria decision-making tools, i.e., TOPSIS.
58#
發(fā)表于 2025-3-31 17:15:44 | 只看該作者
Situation-Aware Conditional Sensing in Disaster-Prone Areas Using Unmanned Aerial Vehicles in IoT Ed algorithm is based on the situation-aware conditional sensing for disaster-prone areas using?unmanned aerial vehicles. The technique presented in this paper focuses on the control of way points of the aerial vehicles based on the events detected in the Internet of Things environment.
59#
發(fā)表于 2025-3-31 19:44:49 | 只看該作者
Challenges in Mining Big Data Streams,ck exchange, etc. to realize the application and importance of big data mining. This paper explains about the use of parallel computing in data mining security issues and how to deal with them. Furthermore, this paper also discusses challenges associated with big streaming data with concept drifts.
60#
發(fā)表于 2025-3-31 23:14:38 | 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(diǎn)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, 2025-10-14 04:02
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
土默特左旗| 哈尔滨市| 南通市| 巴彦县| 黑龙江省| 山丹县| 交城县| 青冈县| 四平市| 福建省| 山阴县| 保靖县| 永川市| 韶关市| 招远市| 大厂| 丘北县| 井研县| 安阳市| 阜新市| 长阳| 宁远县| 格尔木市| 麻城市| 阿克| 休宁县| 易门县| 调兵山市| 鲁甸县| 车致| 临安市| 澄江县| 裕民县| 蚌埠市| 嘉义市| 武义县| 晋宁县| 固安县| 阜南县| 龙门县| 堆龙德庆县|