Zobrazeno 1 - 10
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pro vyhledávání: '"Arya, Deeksha"'
Autor:
Arya, Deeksha1,2 (AUTHOR) deeksha@ct.iitr.ac.in, Maeda, Hiroya3 (AUTHOR), Ghosh, Sanjay Kumar1,4 (AUTHOR), Toshniwal, Durga1,5 (AUTHOR), Sekimoto, Yoshihide2 (AUTHOR)
Publikováno v:
Geoscience Data Journal. Oct2024, Vol. 11 Issue 4, p846-862. 17p.
Autor:
Arya, Deeksha, Maeda, Hiroya, Ghosh, Sanjay Kumar, Toshniwal, Durga, Omata, Hiroshi, Kashiyama, Takehiro, Sekimoto, Yoshihide
This paper summarizes the Crowdsensing-based Road Damage Detection Challenge (CRDDC), a Big Data Cup organized as a part of the IEEE International Conference on Big Data'2022. The Big Data Cup challenges involve a released dataset and a well-defined
Externí odkaz:
http://arxiv.org/abs/2211.11362
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 6507-6515
Road rutting is a severe road distress that can cause premature failure of road incurring early and costly maintenance costs. Research on road damage detection using image processing techniques and deep learning are being actively conducted in the pa
Externí odkaz:
http://arxiv.org/abs/2209.14225
The data article describes the Road Damage Dataset, RDD2022, which comprises 47,420 road images from six countries, Japan, India, the Czech Republic, Norway, the United States, and China. The images have been annotated with more than 55,000 instances
Externí odkaz:
http://arxiv.org/abs/2209.08538
Publikováno v:
In Advanced Engineering Informatics April 2024 60
Autor:
Arya, Deeksha, Maeda, Hiroya, Ghosh, Sanjay Kumar, Toshniwal, Durga, Omata, Hiroshi, Kashiyama, Takehiro, Sekimoto, Yoshihide
This paper summarizes the Global Road Damage Detection Challenge (GRDDC), a Big Data Cup organized as a part of the IEEE International Conference on Big Data'2020. The Big Data Cup challenges involve a released dataset and a well-defined problem with
Externí odkaz:
http://arxiv.org/abs/2011.08740
Autor:
Arya, Deeksha, Maeda, Hiroya, Ghosh, Sanjay Kumar, Toshniwal, Durga, Mraz, Alexander, Kashiyama, Takehiro, Sekimoto, Yoshihide
Many municipalities and road authorities seek to implement automated evaluation of road damage. However, they often lack technology, know-how, and funds to afford state-of-the-art equipment for data collection and analysis of road damages. Although s
Externí odkaz:
http://arxiv.org/abs/2008.13101
In open-source software (OSS), the design of usability is often influenced by the discussions among community members on platforms such as issue tracking systems (ITSs). However, digesting the rich information embedded in issue discussions can be a m
Externí odkaz:
http://arxiv.org/abs/2001.06067
Most modern Issue Tracking Systems (ITSs) for open source software (OSS) projects allow users to add comments to issues. Over time, these comments accumulate into discussion threads embedded with rich information about the software project, which can
Externí odkaz:
http://arxiv.org/abs/1902.07093