Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Agrawal, Ashwin"'
Recent developments in Artificial Intelligence (AI) provide unprecedented automation opportunities in the Architecture, Engineering, and Construction (AEC) industry. However, despite the enthusiasm regarding the use of AI, 85% of current big data pro
Externí odkaz:
http://arxiv.org/abs/2306.16799
Digital Twin (DT) technology is far from being comprehensive and mature, resulting in their piecemeal implementation in practice where some functions are automated by DTs, and others are still performed by humans. This piecemeal implementation of DTs
Externí odkaz:
http://arxiv.org/abs/2301.03040
Today's architectural engineering and construction (AEC) software require a learning curve to generate a three-dimension building representation. This limits the ability to quickly validate the volumetric implications of an initial design idea commun
Externí odkaz:
http://arxiv.org/abs/2210.13634
Publikováno v:
IEEE Journal of Radio Frequency Identification 2022
Despite the Digital Twin (DT) concept being in the industry for a long time, it remains ambiguous, unable to differentiate itself from information models, general computing, and simulation technologies. Part of this confusion stems from previous stud
Externí odkaz:
http://arxiv.org/abs/2210.05350
Autor:
Agrawal, Ashwin, Singh, Vishal, Thiel, Robert, Pillsbury, Michael, Knoll, Harrison, Puckett, Jay, Fischer, Martin
Publikováno v:
Construction Research Congress 2022
Based on an ethnographic action research study for a Digital Twin (DT) deployment on an automated highway maintenance project, this paper reports some of the stumbling blocks that practitioners face while deploying a DT in practice. At the outset, th
Externí odkaz:
http://arxiv.org/abs/2203.07030
Publikováno v:
In Automation in Construction October 2024 166
Recent technological developments and advances in Artificial Intelligence (AI) have enabled sophisticated capabilities to be a part of Digital Twin (DT), virtually making it possible to introduce automation into all aspects of work processes. Given t
Externí odkaz:
http://arxiv.org/abs/2201.06912
Autor:
Jain, Saahil, Agrawal, Ashwin, Saporta, Adriel, Truong, Steven QH, Duong, Du Nguyen, Bui, Tan, Chambon, Pierre, Zhang, Yuhao, Lungren, Matthew P., Ng, Andrew Y., Langlotz, Curtis P., Rajpurkar, Pranav
Extracting structured clinical information from free-text radiology reports can enable the use of radiology report information for a variety of critical healthcare applications. In our work, we present RadGraph, a dataset of entities and relations in
Externí odkaz:
http://arxiv.org/abs/2106.14463
Autor:
Lyu, Zhenghua, Zhang, Huan Hubert, Xiong, Gang, Wang, Haozhou, Guo, Gang, Chen, Jinbao, Praveen, Asim, Yang, Yu, Gao, Xiaoming, Agrawal, Ashwin, Wang, Alexandra, Lin, Wen, Yang, Junfeng, Wu, Hao, Li, Xiaoliang, Guo, Feng, Wu, Jiang, Zhang, Jesse, Raghavan, Venkatesh
Demand for enterprise data warehouse solutions to support real-time Online Transaction Processing (OLTP) queries as well as long-running Online Analytical Processing (OLAP) workloads is growing. Greenplum database is traditionally known as an OLAP da
Externí odkaz:
http://arxiv.org/abs/2103.11080
Autor:
Ko, Michael, Chen, Emma, Agrawal, Ashwin, Rajpurkar, Pranav, Avati, Anand, Ng, Andrew, Basu, Sanjay, Shah, Nigam H.
Publikováno v:
In Journal of Biomedical Informatics July 2021 119