Zobrazeno 1 - 10
of 2 339
pro vyhledávání: '"Mehta, A M"'
Autor:
Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
NASA's Solar Dynamics Observatory (SDO) mission collects extensive data to monitor the Sun's daily activity. In the realm of space mission design, data compression plays a crucial role in addressing the challenges posed by limited telemetry rates. Th
Externí odkaz:
http://arxiv.org/abs/2407.15730
While replacing Gaussian decoders with a conditional diffusion model enhances the perceptual quality of reconstructions in neural image compression, their lack of inductive bias for image data restricts their ability to achieve state-of-the-art perce
Externí odkaz:
http://arxiv.org/abs/2403.16258
Autor:
Zafari, Ali, Khoshkhahtinat, Atefeh, Grajeda, Jeremy A., Mehta, Piyush M., Nasrabadi, Nasser M., Boucheron, Laura E., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them efficiently transferable to the ground station is a twofold decision to m
Externí odkaz:
http://arxiv.org/abs/2311.02855
Autor:
Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Akyash, Mohammad, Kashiani, Hossein, Nasrabadi, Nasser M.
Transform and entropy models are the two core components in deep image compression neural networks. Most existing learning-based image compression methods utilize convolutional-based transform, which lacks the ability to model long-range dependencies
Externí odkaz:
http://arxiv.org/abs/2309.10799
Autor:
Zafari, Ali, Khoshkhahtinat, Atefeh, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
Missions studying the dynamic behaviour of the Sun are defined to capture multi-spectral images of the sun and transmit them to the ground station in a daily basis. To make transmission efficient and feasible, image compression systems need to be exp
Externí odkaz:
http://arxiv.org/abs/2309.10791
Autor:
Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel
NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's daily activity. Data compression is crucial for space missions to reduce data storage and video bandwidth requirements by eliminating redundancies in the data. I
Externí odkaz:
http://arxiv.org/abs/2309.10784
We study the landscape of axion theories in compactifications of type IIB string theory on orientifolds of Calabi-Yau threefolds. In a sample of approximately 400,000 geometries we find that in the regime of perturbative control there are only a hand
Externí odkaz:
http://arxiv.org/abs/2309.01831
Autor:
Daniell, Joshua D., Mehta, Piyush M.
Space weather indices are used commonly to drive forecasts of thermosphere density, which directly affects objects in low-Earth orbit (LEO) through atmospheric drag. One of the most commonly used space weather proxies, $F_{10.7 cm}$, correlates well
Externí odkaz:
http://arxiv.org/abs/2306.02169
Autor:
Licata, Richard J., Mehta, Piyush M.
The geospace environment is volatile and highly driven. Space weather has effects on Earth's magnetosphere that cause a dynamic and enigmatic response in the thermosphere, particularly on the evolution of neutral mass density. Many models exist that
Externí odkaz:
http://arxiv.org/abs/2211.04392
For objects in the low Earth orbit region, uncertainty in atmospheric density estimation is an important source of orbit prediction error, which is critical for space situational awareness activities such as the satellite conjunction analysis. This p
Externí odkaz:
http://arxiv.org/abs/2210.16992