找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Afro-European Conference for Industrial Advancement; Proceedings of the F Ajith Abraham,Pavel Kr?mer,Vaclav Snasel Conference proceedings 2

[復(fù)制鏈接]
樓主: Assert
21#
發(fā)表于 2025-3-25 03:50:08 | 只看該作者
Creep Behavior of Thick-Walled Tubes, model which is affected by more influences at the same time. The simulation time can be shortened in an exact ratio to the real time and thus an evaluation and implementation of changes of the model parameters can be performed more quickly.
22#
發(fā)表于 2025-3-25 08:40:20 | 只看該作者
K. Yagi,G. Merckling,H. Warlimontasonable energy sources for the consumer market. The design process involved calculating and optimizing the energy balance across the heat absorber, minimizing heat losses, analyzing heat transfer through the thermoelectric elements, and analyzing the electrical power system.
23#
發(fā)表于 2025-3-25 13:28:32 | 只看該作者
24#
發(fā)表于 2025-3-25 16:21:54 | 只看該作者
25#
發(fā)表于 2025-3-25 21:01:49 | 只看該作者
Design of a Single Stage Thermoelectric Power Generator Module with Specific Application on the Autasonable energy sources for the consumer market. The design process involved calculating and optimizing the energy balance across the heat absorber, minimizing heat losses, analyzing heat transfer through the thermoelectric elements, and analyzing the electrical power system.
26#
發(fā)表于 2025-3-26 00:33:06 | 只看該作者
27#
發(fā)表于 2025-3-26 04:23:55 | 只看該作者
Feature Subset Selection Approach by Gray-Wolf Optimization,ce. In this paper, a classification accuracy-based fitness function is proposed by gray-wolf optimizer to find optimal feature subset. Gray-wolf optimizer is a new evolutionary computation technique which mimics the leadership hierarchy and hunting mechanism of gray wolves in nature. The aim of the
28#
發(fā)表于 2025-3-26 09:36:38 | 只看該作者
Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization,on and wind speed are the most important variables for wind energy generation, integration, and management. This work proposes and evaluates a new method for accurate estimation of wind direction distribution parameters utilizing the well-known Particle Swarm Optimization algorithm. It is used to op
29#
發(fā)表于 2025-3-26 14:17:34 | 只看該作者
30#
發(fā)表于 2025-3-26 19:41:52 | 只看該作者
Reliable Data Transmission for Multi-source Multi-sink Wireless Sensor Networks,parameters using a single sensor field/network. This type of WSN, beside its limited resources such as energy limitation like any WSNs are, has unique characteristics for instance network congestion, since multiple sensor nodes can send data to multiple/single sink at the same time. Research works o
 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(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, 2025-10-27 16:44
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
大渡口区| 昆山市| 色达县| 新巴尔虎右旗| 河东区| 江北区| 涿州市| 龙州县| 仁寿县| 溆浦县| 固镇县| 蛟河市| 镇巴县| 水城县| 营山县| 远安县| 黄浦区| 和田市| 邻水| 扎赉特旗| 时尚| 龙口市| 平谷区| 海盐县| 革吉县| 珲春市| 克拉玛依市| 修水县| 宜君县| 宜良县| 澄城县| 兴海县| 石林| 宝坻区| 孟村| 朝阳县| 呼和浩特市| 北安市| 盖州市| 浑源县| 房产|