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 Science; 4th International Co Qinglei Zhou,Qiguang Miao,Zeguang Lu Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018

[復制鏈接]
樓主: Racket
21#
發(fā)表于 2025-3-25 07:22:36 | 只看該作者
Edwin R. Dubose Jr.,Earl E. Shelping between the pending paper content and the experts’ research interests, and then recommend experts based on the similarity. Experimental results show that the proposed diversified knowledge model can find the appropriate paper reviewers effectively, which can reduce the workload of the editors greatly.
22#
發(fā)表于 2025-3-25 08:40:06 | 只看該作者
Peter J. Rich,Matthew B. Langtoncross space real-time interaction with remote operation. This technology can provide a simple optimal solution for China’s medical conjoined and grading treatment system with a high efficient and low cost [.].
23#
發(fā)表于 2025-3-25 14:44:26 | 只看該作者
Steve Bennett,Trevor Barker,Mariana Lilleynd concave features than CX values with solvent accessibility, solvent accessibility, and B-factor’s Pearson correlation coefficient. This result shows that the FCX algorithm can describe the shape of the protein surface residues more accurately than the CX algorithm.
24#
發(fā)表于 2025-3-25 17:24:55 | 只看該作者
25#
發(fā)表于 2025-3-25 23:19:31 | 只看該作者
Auxiliary Disease and Treatment System of Aortic Disease Based on Mixed Reality,cross space real-time interaction with remote operation. This technology can provide a simple optimal solution for China’s medical conjoined and grading treatment system with a high efficient and low cost [.].
26#
發(fā)表于 2025-3-26 02:50:27 | 只看該作者
27#
發(fā)表于 2025-3-26 05:58:42 | 只看該作者
28#
發(fā)表于 2025-3-26 12:28:36 | 只看該作者
Jim Allen,Yuki Inenaga,Keiichi Yoshimotogainst some normal methods, such as methods based emotion lexicon, machine learning methods, LSTM and other neural network models. Experiments show that these two proposed models have achieved better results in text sentiment analysis. The best model CNN-BLSTM is better than the normal neural network models in accuracy.
29#
發(fā)表于 2025-3-26 16:16:12 | 只看該作者
30#
發(fā)表于 2025-3-26 18:40:47 | 只看該作者
https://doi.org/10.1007/978-94-007-5386-0his paper, we give a general overview of knowledge graph’s construction research based on knowledge embedding, including knowledge representation, knowledge embedding and so on. Then we summarize the challenge for the knowledge graph and the future development trend.
 關于派博傳思  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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 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 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, 2025-10-9 20:57
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
宁阳县| 津南区| 遂宁市| 安泽县| 景洪市| 通山县| 孝昌县| 黑龙江省| 石门县| 泰宁县| 西安市| 钦州市| 方正县| 静宁县| 涡阳县| 红原县| 克东县| 瑞安市| 夏邑县| 汉阴县| 左权县| 福贡县| 科技| 临海市| 宁海县| 和顺县| 临潭县| 越西县| 息烽县| 定襄县| 原阳县| 彝良县| 四平市| 遂川县| 永泰县| 定边县| 上饶县| 西青区| 永登县| 大丰市| 和硕县|