Zobrazeno 1 - 10
of 4 662
pro vyhledávání: '"SHARMA, GAURAV"'
Autor:
Sharma, Gaurav
Spinal muscular atrophy (SMA) is a devastating disorder caused by deletions and mutations in the survival of motor neuron (SMN1) gene and is marked by motor neuron loss and muscle weakness. While its genetic basis is clear, the underlying molecular m
Externí odkaz:
https://hdl.handle.net/11572/417910
Policy constraint methods in offline reinforcement learning employ additional regularization techniques to constrain the discrepancy between the learned policy and the offline dataset. However, these methods tend to result in overly conservative poli
Externí odkaz:
http://arxiv.org/abs/2408.02165
We propose an assistive technology that helps individuals with Color Vision Deficiencies (CVD) to recognize/name colors. A dichromat's color perception is a reduced two-dimensional (2D) subset of a normal trichromat's three dimensional color (3D) per
Externí odkaz:
http://arxiv.org/abs/2408.01895
LiDAR-based sensors employing optical spectrum signals play a vital role in providing significant information about the target objects in autonomous driving vehicle systems. However, the presence of fog in the atmosphere severely degrades the overall
Externí odkaz:
http://arxiv.org/abs/2408.01085
Autor:
Srivastava, Siddharth, Sharma, Gaurav
Majority of research in learning based methods has been towards designing and training networks for specific tasks. However, many of the learning based tasks, across modalities, share commonalities and could be potentially tackled in a joint framewor
Externí odkaz:
http://arxiv.org/abs/2311.05709
We introduce a novel graph-based framework for alleviating key challenges in distantly-supervised relation extraction and demonstrate its effectiveness in the challenging and important domain of biomedical data. Specifically, we propose a graph view
Externí odkaz:
http://arxiv.org/abs/2310.18912
Autor:
Kumar, Adarsh, Awad, Ali Ismail, Sharma, Gaurav, Krishnamurthi, Rajalakshmi, Jain, Saurabh, Srikanth, P., Sharma, Kriti, Hedabou, Mustapha, Sood, Surinder
Quantum communication is the most secure technique of transmitting data available today. Fiber communication lines and satellite-to-ground links have served as the basis for the most successful quantum networks that have been developed so far. Using
Externí odkaz:
http://arxiv.org/abs/2303.11753
The Internet of Things is an essential component in the growth of an ecosystem that enables quick and precise judgments to be made for communication on the battleground. The usage of the battlefield of things (BoT) is, however, subject to several res
Externí odkaz:
http://arxiv.org/abs/2212.11562
We investigate data-driven texture modeling via analysis and synthesis with generative adversarial networks. For network training and testing, we have compiled a diverse set of spatially homogeneous textures, ranging from stochastic to regular. We ad
Externí odkaz:
http://arxiv.org/abs/2212.09983
Autor:
Sharma, Gaurav1 gsharma.gs341@gmail.com, Chandel, Uttam1, Kumar, Sawan1, Guleria, Satish Kumar1, Kumar, Nimit1
Publikováno v:
Electronic Journal of Plant Breeding. Sep2024, Vol. 15 Issue 3, p538-545. 8p.
