Model Integrity Checking
Model Integrity Checking is a systematic verification process within Building Information Modeling (BIM) quality control that ensures the coherence, consistency, and correctness of model data by identifying and resolving structural, relational, and semantic discrepancies in accordance with established modeling standards and project requirements.
13
Publications
668
Citations
48
Authors
22
Institutions
Publications per year
2017–2026
9
Parents
13
Data Security Issues in Deep Learning: Attacks, Countermeasures, and Opportunities
Guowen Xu, Hongwei Li, Hao Ren et al. · IEEE Communications Magazine · 2019 · 118 citations
Sensitive-Sample Fingerprinting of Deep Neural Networks
Zecheng He, Tianwei Zhang, Ruby Lee · 2019 · 86 citations
1–5 of 13
48
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 48
22
Peng Cheng Laboratory
Shenzhen, China
2 h-index
2 publications
166 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
20 citations

Kaunas University of Technology
Kaunas, Lithuania
1 h-index
2 publications
30 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
80 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
36 citations
University of Memphis
Memphis, United States
1 h-index
1 publications
118 citations

North China Electric Power University
Beijing, China
1 h-index
1 publications
46 citations
Philipps University of Marburg
Marburg, Germany
1 h-index
2 publications
110 citations
1–8 of 22
Repository · 2 publications · 49 citations
2
h-index
1 publications · 99 citations
1
h-index
1 publications · 20 citations
1
h-index
JSS · 1 publications · 80 citations
1
h-index
1 publications · 46 citations
1
h-index
1–5