A Smart Capacity Enhancement and Estimation Model for Hybrid Buildings by using Light Weight Deep Learning Model-Reference-Cited by-同舟云学术

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A Smart Capacity Enhancement and Estimation Model for Hybrid Buildings by using Light Weight Deep Learning Model

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Kumar Senthil¹,Atyam Nageswara Rao²,K Khadar Nawas³,Awasthi Shashank⁴,Kotteeswaran M.⁵,Thirunavukkarasu K. S.⁶

Affiliation:

1. Koneru Lakshmanan Education Foundation,KL School of Architecture,Guntur,Andhra Pradesh,India

2. CMR Institute of Technology,Electrical and Electronics Department,Bengaluru,Karnataka,India

3. Vellore Institute of Technolog,School of Computing Science and Engineering,Chennai,Tamil Nadu,India

4. GL Bajaj Institute of Technology and Management,Department of Computer Science and Engineering,Greater Noida,Uttar Pradesh,India

5. Vels Institute of Science Technology and Advanced Studies (VISTAS), Pallavaram,School of Management and Commerce,Chennai,Tamil Nadu,India

6. Vels Institute of Science Technology and Advanced Studies (VISTAS), Pallavaram,School of Computing Science,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150433/10150449/10151361.pdf?arnumber=10151361

Reference10 articles.

1. A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings

2. Damage and performance evaluation of masonry buildings constructed in 1970s during the 2019 Albania earthquakes

3. A novel probabilistic regression model for electrical peak demand estimate of commercial and manufacturing buildings

4. Exogenous windborne debris: Definition and required extent of surrounding buildings for modeling in hurricanes

5. Building a Smart Hydroponic Farming with Aquaculture using IoT and Big data;tamana;Int J Aqua Sci,2021

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