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: Embedded Systems Technology; 15th National Confer Yuanguo Bi,Gang Chen,Yi Wang Conference proceedings 2018 Springer Nature Singapore Pte Lt

[復(fù)制鏈接]
樓主: 貧血
31#
發(fā)表于 2025-3-27 00:05:50 | 只看該作者
32#
發(fā)表于 2025-3-27 02:06:24 | 只看該作者
33#
發(fā)表于 2025-3-27 09:19:07 | 只看該作者
34#
發(fā)表于 2025-3-27 11:32:28 | 只看該作者
35#
發(fā)表于 2025-3-27 16:24:48 | 只看該作者
G. M. Djordjevic,T. R. Klaenhammeral models are built to analyze the EV usage behavior in the urban area. The features such as charging demand, high energy consumption area, and highly traveled paths are captured. We evaluate the proposed models on a real-world EV dataset. The results clearly demonstrate the efficiency and accuracy of our models on locating EV charging stations.
36#
發(fā)表于 2025-3-27 18:59:15 | 只看該作者
37#
發(fā)表于 2025-3-28 00:38:07 | 只看該作者
Pedestrian Detection with D-CNNot in daily life. Among the state-of-the-art methods compared in this paper, the comprehensive performance of D-CNN is the best, whose mAP is only 0.4 points lower than the highest one but the detection speed doubles. So our proposed network can get real-time speed while maintaining rather satisfying precision of pedestrian detection.
38#
發(fā)表于 2025-3-28 02:37:32 | 只看該作者
Methods for Partial Differential Equationsocessing, and then make classification of them, so as to realize the recognition of traffic signs. The correct rate of the algorithm which is used in this paper is 98.13%, by processing the experiment on the GTSRB data set.
39#
發(fā)表于 2025-3-28 08:02:16 | 只看該作者
40#
發(fā)表于 2025-3-28 12:25:25 | 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(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-27 22:01
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
兴仁县| 万宁市| 房山区| 仁寿县| 沾益县| 台中市| 合山市| 子洲县| 清原| 图片| 门源| 乌海市| 昌平区| 景泰县| 张北县| 盖州市| 双城市| 泗水县| 石楼县| 伊通| 邵武市| 宁城县| 阳东县| 涡阳县| 阿瓦提县| 永仁县| 林口县| 醴陵市| 汾阳市| 丘北县| 平泉县| 扎兰屯市| 杂多县| 东港市| 七台河市| 德安县| 武夷山市| 济南市| 白山市| 颍上县| 武汉市|