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-Driven Engineering Design; Ang Liu,Yuchen Wang,Xingzhi Wang Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusiv

[復(fù)制鏈接]
樓主: Autopsy
21#
發(fā)表于 2025-3-25 06:15:46 | 只看該作者
User-Generated Content Analysis for Customer Needs Elicitation, specific product features. The framework also provides insights into product usage contexts, which facilitates discovering product improvements and innovation opportunities. A case study of an e-reader demonstrates the application of the proposed framework.
22#
發(fā)表于 2025-3-25 09:59:36 | 只看該作者
23#
發(fā)表于 2025-3-25 13:38:57 | 只看該作者
Enabling Technologies of Data-Driven Engineering Design,logies can be integrated, either vertically or horizontally, towards an integrated system of systems. Multiple specific applications of these enabling technologies are presented as illustrative examples.
24#
發(fā)表于 2025-3-25 16:23:41 | 只看該作者
25#
發(fā)表于 2025-3-25 23:01:39 | 只看該作者
native approaches to early-stage design.This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in pa
26#
發(fā)表于 2025-3-26 03:13:26 | 只看該作者
27#
發(fā)表于 2025-3-26 06:01:31 | 只看該作者
28#
發(fā)表于 2025-3-26 12:07:38 | 只看該作者
29#
發(fā)表于 2025-3-26 13:39:00 | 只看該作者
Iterative Searching and Sorting,perations to support design operations involved in the process of designing a smart product with stronger context-smartness, network-smartness, and service-smartness. Some existing design methods and emerging design tools are also incorporated into the framework.
30#
發(fā)表于 2025-3-26 18:59:58 | 只看該作者
Data-Driven Engineering Design,h relevant notions. The background, motivation, and significance of data-driven engineering design are elaborated. From a theoretical perspective, data-driven engineering design is characterized by a novel integration between the existing design theory and methodology with the emerging data science.
 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-2-6 00:49
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
平远县| 遂溪县| 蕉岭县| 海宁市| 镇康县| 崇信县| 台北县| 高台县| 平阴县| 丹寨县| 洪江市| 武隆县| 水富县| 涟源市| 双江| 吉首市| 甘孜| 孟州市| 星子县| 西和县| 莫力| 乐安县| 乐东| 上高县| 昭平县| 新民市| 定边县| 广德县| 习水县| 集贤县| 叙永县| 桐柏县| 湟源县| 若羌县| 东丰县| 长兴县| 沁源县| 莱芜市| 米脂县| 高雄县| 上饶县|