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: Distributed Computing and Artificial Intelligence, 16th International Conference; Francisco Herrera,Kenji Matsui ,Sara‘Rodríguez-Gon Confe

[復制鏈接]
樓主: VER
51#
發(fā)表于 2025-3-30 10:22:39 | 只看該作者
Brian Morris,Klaus Boehm,Maurice Geller (cognitive) decides to drink coffee that increases its caffeine levels and makes the individual feel more focused wherefore the individual relaxes. Thirdly, (biologically) it is modeled how caffeine intake by drinking coffee reduces stress levels due to feeling more relaxed.
52#
發(fā)表于 2025-3-30 13:53:39 | 只看該作者
53#
發(fā)表于 2025-3-30 20:23:47 | 只看該作者
54#
發(fā)表于 2025-3-30 23:25:47 | 只看該作者
55#
發(fā)表于 2025-3-31 02:20:47 | 只看該作者
Brian Morris,Peggy Crane,Klaus Boehmf the story based on the sentence similarity. We suggest the possibility to create a new story by selecting sentences from exiting novels based on similarity. We indicated that the length of sentences and numbers of proper nouns tend to affect the naturalness of the created story.
56#
發(fā)表于 2025-3-31 08:52:35 | 只看該作者
https://doi.org/10.1007/978-1-349-20904-0ven timeline. Since travel time varies depending on the date of travel, weather, distance, we present a prediction model using both travel history and additional information such as distance, holiday, and weather. The results showed that Random Forest algorithm outperformed other methods and adding additional features increased its accuracy rate.
57#
發(fā)表于 2025-3-31 10:22:03 | 只看該作者
Brian Morris,Klaus Boehm,Maurice Gellerven in the documents, while the second is based on the similarity between these topics. After a validation process it was demonstrated that the proposed methods are more efficient than the traditional methods.
58#
發(fā)表于 2025-3-31 14:44:53 | 只看該作者
 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 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, 2026-1-27 09:37
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
瑞安市| 寿阳县| 新晃| 密云县| 简阳市| 蕉岭县| 新津县| 岳阳市| 隆子县| 潍坊市| 凤庆县| 承德县| 那曲县| 三门县| 梨树县| 安阳县| 九龙城区| 正安县| 惠安县| 轮台县| 广昌县| 临江市| 沅江市| 云安县| 永丰县| 北川| 当雄县| 平泉县| 宁化县| 贵阳市| 宜兴市| 黄平县| 靖江市| 湟中县| 通榆县| 海城市| 镶黄旗| 朝阳县| 临夏县| 芒康县| 牟定县|