找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Disrupting Buildings; Digitalisation and t Theo Lynn,Pierangelo Rosati,Jennifer Kennedy Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and

[复制链接]
楼主: affected
发表于 2025-3-25 07:13:27 | 显示全部楼层
The Editor(s) (if applicable) and The Author(s) 2023
发表于 2025-3-25 11:15:23 | 显示全部楼层
Deep Renovation: Definitions, Drivers and Barriers, and digital technology adoption to support deep renovation are impacted by challenges presented in humans, organisational processes, technologies and external environments. This chapter explores the key drivers and barriers to deep renovation and associated digitalisation. It establishes the motivation for the remainder of the book.
发表于 2025-3-25 14:05:28 | 显示全部楼层
发表于 2025-3-25 19:05:14 | 显示全部楼层
发表于 2025-3-25 21:23:39 | 显示全部楼层
Embedded Sensors, Ubiquitous Connectivity and Tracking,antages and benefits of these technologies at the pre, during and post-renovation stages are discussed together with different use cases. The value of sensor network infrastructures and the legal and ethical implications of the use of such sensor infrastructures is also discussed.
发表于 2025-3-26 02:31:45 | 显示全部楼层
Intelligent Construction Equipment and Robotics,helps in their benefits by defining relevant metrics while considering their pitfalls in terms of quality, safety, time, and cost. This framework assists practitioners in decision-making for adopting IER in their construction operation.
发表于 2025-3-26 07:10:32 | 显示全部楼层
Overview of Development Finance Institutionsal Intelligence (AI) and Machine Learning (ML) to BIM models to optimise deep renovation project delivery. The prospects for this are encouraging, but further development work, including the creation of ontologies that are appropriate for renovation work, is still needed.
发表于 2025-3-26 12:08:46 | 显示全部楼层
Reitumetse Obakeng Mabokela,Yeukai A. Mlambop renovation and discusses a series of use cases, applications, advantages, and benefits as well as challenges and barriers. Finally, Big Data and deep renovation prospects are discussed, including future potential developments and guidelines.
发表于 2025-3-26 14:23:46 | 显示全部楼层
Terhi Nokkala,Bojana Ćulum,Tatiana Fumasoli the state-of-the-art deep learning methods for digital twins and discusses some real-life use cases. Finally, the chapter discusses the benefits and challenges associated with the adoption of digital twins.
发表于 2025-3-26 18:01:48 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-19 03:49
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表