Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Demiray, Bekir Z"'
Autor:
Demiray, Bekir Z., Demir, Ibrahim
This study explores the efficacy of a Transformer model for 120-hour streamflow prediction across 125 diverse locations in Iowa, US. Utilizing data from the preceding 72 hours, including precipitation, evapotranspiration, and discharge values, we dev
Externí odkaz:
http://arxiv.org/abs/2406.07484
Autor:
Sajja, Ramteja, Ramirez, Carlos Erazo, Li, Zhouyayan, Demiray, Bekir Z., Sermet, Yusuf, Demir, Ibrahim
Hackathons have emerged as pivotal platforms in the software industry, driving both innovation and skill development for organizations and students alike. These events enable companies to quickly prototype new ideas while offering students practical,
Externí odkaz:
http://arxiv.org/abs/2401.17434
Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution of radar rainfall products to help with more accurate climate change m
Externí odkaz:
http://arxiv.org/abs/2303.05552
Efficient climate change monitoring and modeling rely on high-quality geospatial and environmental datasets. Due to limitations in technical capabilities or resources, the acquisition of high-quality data for many environmental disciplines is costly.
Externí odkaz:
http://arxiv.org/abs/2109.09661
Autor:
Sit, Muhammed, Demiray, Bekir Z., Xiang, Zhongrun, Ewing, Gregory J., Sermet, Yusuf, Demir, Ibrahim
The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety, and velocity of water-related data are increasing due to large-scale sensor networks and increased attention to topics such as disaster response, wate
Externí odkaz:
http://arxiv.org/abs/2007.12269
LIDAR (light detection and ranging) is an optical remote-sensing technique that measures the distance between sensor and object, and the reflected energy from the object. Over the years, LIDAR data has been used as the primary source of Digital Eleva
Externí odkaz:
http://arxiv.org/abs/2004.04788
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing November 2023 205:176-190
Autor:
Goncalo Marques, Joshua O. Ighalo
Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in envir
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (