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: Digital Democracy – IT for Change; 53rd Annual Conventi Prafulla Kumar Behera,Purna Chandra Sethi Conference proceedings 2021 Springer Natu

[復(fù)制鏈接]
樓主: 滲漏
31#
發(fā)表于 2025-3-26 22:54:11 | 只看該作者
32#
發(fā)表于 2025-3-27 02:16:23 | 只看該作者
33#
發(fā)表于 2025-3-27 08:09:34 | 只看該作者
34#
發(fā)表于 2025-3-27 12:52:42 | 只看該作者
Remote Monitoring of Temperature Using Optical Fiber Bragg Grating Sensor,ravelling through the OFC cable is called as a wired optical communication, whereas the FSO can be said as wireless communication. The performance of OFC and FSO channels has been compared for sensing the data from the FBG sensor using OptiSystem 16.0 Simulation Software. The contribution of the pap
35#
發(fā)表于 2025-3-27 13:51:39 | 只看該作者
Detecting Crisis Event on Twitter Using Combination of LSTM, CNN Model, as it has the ability of remembering previously read data. We are using two types of deep neural network called CNN-LSTM and LSTM-CNN in this paper, which is developed by combining both of CNN and LSTM networks for doing event detection during crisis situation on Twitter data. We provide the detail
36#
發(fā)表于 2025-3-27 18:36:45 | 只看該作者
37#
發(fā)表于 2025-3-28 01:54:17 | 只看該作者
38#
發(fā)表于 2025-3-28 02:49:02 | 只看該作者
39#
發(fā)表于 2025-3-28 07:37:36 | 只看該作者
https://doi.org/10.1007/978-3-030-58650-8 as it has the ability of remembering previously read data. We are using two types of deep neural network called CNN-LSTM and LSTM-CNN in this paper, which is developed by combining both of CNN and LSTM networks for doing event detection during crisis situation on Twitter data. We provide the detail
40#
發(fā)表于 2025-3-28 11:26:06 | 只看該作者
https://doi.org/10.1007/978-3-030-58650-8ementation details, performance and scalability analysis of Fast Fourier Transformation (FFT) on virtual Symmetric multiprocessor system (vSMP) using programming paradigms such as openMP, MPI and Hybrid programming, results and observations.
 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, 2025-10-5 07:40
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
澜沧| 墨江| 广宁县| 喀什市| 和田县| 囊谦县| 甘德县| 溆浦县| 乡宁县| 镇平县| 蕉岭县| 郸城县| 井研县| 黄浦区| 澳门| 读书| 松溪县| 庄浪县| 西平县| 呼和浩特市| 武隆县| 堆龙德庆县| 舞阳县| 亳州市| 永靖县| 茌平县| 白水县| 丰宁| 阿拉善盟| 和平区| 监利县| 东乡县| 阿拉尔市| 育儿| 漳平市| 米林县| 高阳县| 通城县| 湘阴县| 太谷县| 孟州市|