Zobrazeno 1 - 10
of 11 236
pro vyhledávání: '"Chowdhary, A"'
Autor:
He, Zizhao, Li, Rui, Shu, Yiping, Tortora, Crescenzo, Er, Xinzhong, Canameras, Raoul, Schuldt, Stefan, Napolitano, Nicola R., N, Bharath Chowdhary, Chen, Qihang, Li, Nan, Feng, Haicheng, Deng, Limeng, Li, Guoliang, Koopmans, L. V. E., Dvornik, Andrej
Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, thousands of SL-QSO systems can be discovered expectedly, leading to unp
Externí odkaz:
http://arxiv.org/abs/2409.17471
Autor:
Wang, Tixian, Chang, Heng-Sheng, Kim, Seung Hyun, Guo, Jiamiao, Akcal, Ugur, Walt, Benjamin, Biskup, Darren, Halder, Udit, Krishnan, Girish, Chowdhary, Girish, Gazzola, Mattia, Mehta, Prashant G.
A neural network-based framework is developed and experimentally demonstrated for the problem of estimating the shape of a soft continuum arm (SCA) from noisy measurements of the pose at a finite number of locations along the length of the arm. The n
Externí odkaz:
http://arxiv.org/abs/2409.12443
We consider robust optimal experimental design (ROED) for nonlinear Bayesian inverse problems governed by partial differential equations (PDEs). An optimal design is one that maximizes some utility quantifying the quality of the solution of an invers
Externí odkaz:
http://arxiv.org/abs/2409.09137
In visual Reinforcement Learning (RL), learning from pixel-based observations poses significant challenges on sample efficiency, primarily due to the complexity of extracting informative state representations from high-dimensional data. Previous meth
Externí odkaz:
http://arxiv.org/abs/2409.02714
Autor:
Sivakumar, Arun N., Thangeda, Pranay, Fang, Yixiao, Gasparino, Mateus V., Cuaran, Jose, Ornik, Melkior, Chowdhary, Girish
Under-canopy agricultural robots require robust navigation capabilities to enable full autonomy but struggle with tight row turning between crop rows due to degraded GPS reception, visual aliasing, occlusion, and complex vehicle dynamics. We propose
Externí odkaz:
http://arxiv.org/abs/2408.03059
Tracking plant features is crucial for various agricultural tasks like phenotyping, pruning, or harvesting, but the unstructured, cluttered, and deformable nature of plant environments makes it a challenging task. In this context, the recent advancem
Externí odkaz:
http://arxiv.org/abs/2407.16829
Teams are the fundamental units propelling innovation and advancing modern science. A rich literature links the fundamental features of teams, such as their size and diversity, to academic success. However, such analyses fail to capture temporal patt
Externí odkaz:
http://arxiv.org/abs/2407.09326
Autor:
Chowdhary, Shubham, De Pasquale, Giulia, Lanzetti, Nicolas, Stoica, Ana-Andreea, Dorfler, Florian
We study fairness in social influence maximization, whereby one seeks to select seeds that spread a given information throughout a network, ensuring balanced outreach among different communities (e.g. demographic groups). In the literature, fairness
Externí odkaz:
http://arxiv.org/abs/2406.17736
Autor:
Schreiber, Andre, Sivakumar, Arun N., Du, Peter, Gasparino, Mateus V., Chowdhary, Girish, Driggs-Campbell, Katherine
Successful deployment of mobile robots in unstructured domains requires an understanding of the environment and terrain to avoid hazardous areas, getting stuck, and colliding with obstacles. Traversability estimation--which predicts where in the envi
Externí odkaz:
http://arxiv.org/abs/2406.02822
Autor:
Ahmed, Md. Toukir, Ahmed, Md Wadud, Monjur, Ocean, Emmert, Jason Lee, Chowdhary, Girish, Kamruzzaman, Mohammed
Publikováno v:
Smart Agricultural Technology,Volume 9 , December 2024
As the demand for food surges and the agricultural sector undergoes a transformative shift towards sustainability and efficiency, the need for precise and proactive measures to ensure the health and welfare of livestock becomes paramount. In the cont
Externí odkaz:
http://arxiv.org/abs/2405.13843