Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Batchu, Vishal"'
Autor:
Batchu, Vishal, Wilson, Alex, Peng, Betty, Elkin, Carl, Jain, Umangi, Van Arsdale, Christopher, Goroshin, Ross, Gulshan, Varun
The transition to renewable energy, particularly solar, is key to mitigating climate change. Google's Solar API aids this transition by estimating solar potential from aerial imagery, but its impact is constrained by geographical coverage. This paper
Externí odkaz:
http://arxiv.org/abs/2408.14400
Autor:
Garg, Shubhika, Feinstein, Ben, Timnat, Shahar, Batchu, Vishal, Dror, Gideon, Rosenthal, Adi Gerzi, Gulshan, Varun
The increasing intensity and frequency of floods is one of the many consequences of our changing climate. In this work, we explore ML techniques that improve the flood detection module of an operational early flood warning system. Our method exploits
Externí odkaz:
http://arxiv.org/abs/2302.08180
We develop a deep learning based convolutional-regression model that estimates the volumetric soil moisture content in the top ~5 cm of soil. Input predictors include Sentinel-1 (active radar), Sentinel-2 (optical imagery), and SMAP (passive radar) a
Externí odkaz:
http://arxiv.org/abs/2206.09649
Video games have become an integral part of most people's lives in recent times. This led to an abundance of data related to video games being shared online. However, this comes with issues such as incorrect ratings, reviews or anything that is being
Externí odkaz:
http://arxiv.org/abs/1805.11372
Binarization is an extreme network compression approach that provides large computational speedups along with energy and memory savings, albeit at significant accuracy costs. We investigate the question of where to binarize inputs at layer-level gran
Externí odkaz:
http://arxiv.org/abs/1804.03867
Deep neural networks are highly effective at a range of computational tasks. However, they tend to be computationally expensive, especially in vision-related problems, and also have large memory requirements. One of the most effective methods to achi
Externí odkaz:
http://arxiv.org/abs/1804.02941
Autor:
Batchu, Vishal1 (AUTHOR) vishalbatchu@google.com, Nearing, Grey2 (AUTHOR), Gulshan, Varun1 (AUTHOR)
Publikováno v:
Journal of Hydrometeorology. Oct2023, Vol. 24 Issue 10, p1789-1823. 35p.