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https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1654| Title: | Application of Image Data Analytics for Immediate Disaster Response |
| Authors: | Chaudhuri, Neha Bose, Indranil |
| Keywords: | Convolutional neural networks deep learning disaster management image classification smart urban environments |
| Issue Date: | 2020 |
| Publisher: | SCOPUS ACM International Conference Proceeding Series Association for Computing Machinery |
| Series/Report no.: | Part F165625 |
| Abstract: | This study identifies a novel source of data, i.e. images from smart urban infrastructures, that would be helpful in effective disaster management decision-making. For this purpose, we collected images from disaster-hit environments of Central Mexico (2017 earthquake). Also, this study utilizes deep learning convolutional neural network to analyze this novel dataset and evaluates the model effectiveness and technical viability during crisis scenarios. TensorFlow was utilized for the image classification task. The findings have important significance for effective disaster response. |
| Description: | Neha Chaudhuri, Management Information Systems, Indian Institute of Management, Calcutta, India; Indranil Bose, Management Information Systems, Indian Institute of Management, Calcutta, India DOI - 10.1145/3369740.3372729 |
| URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097983839&doi=10.1145%2f3369740.3372729&partnerID=40&md5=90e601a76136ac3ac0f44ec98ac65557 https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1654 |
| Appears in Collections: | Management Information Systems |
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