Zobrazeno 1 - 10
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pro vyhledávání: '"Ranjan,Ashish"'
Autor:
Darapaneni, Narayana, Ranjan, Ashish, Bright, Dany, Trivedi, Devendra, Kumar, Ketul, Kumar, Vivek, Paduri, Anwesh Reddy
With the advancement in AI, deep learning techniques are widely used to design robust classification models in several areas such as medical diagnosis tasks in which it achieves good performance. In this paper, we have proposed the CNN model (Convolu
Externí odkaz:
http://arxiv.org/abs/2204.03618
Publikováno v:
In The Ocular Surface October 2024 34:235-240
Publikováno v:
Information Sciences, 2022
Attention-based deep networks have been successfully applied on textual data in the field of NLP. However, their application on protein sequences poses additional challenges due to the weak semantics of the protein words, unlike the plain text words.
Externí odkaz:
http://arxiv.org/abs/2201.02912
Publikováno v:
Phys. Rev. A 104, 022437 (2021)
State space structure of tripartite quantum systems is analyzed. In particular, it has been shown that the set of states separable across all the three bipartitions [say $\mathcal{B}^{int}(ABC)$] is a strict subset of the set of states having positiv
Externí odkaz:
http://arxiv.org/abs/2104.06938
Publikováno v:
In AEUE - International Journal of Electronics and Communications January 2024 174
Publikováno v:
Journal of Applied Physics; 5/14/2024, Vol. 135 Issue 18, p1-16, 16p
Generating music is an interesting and challenging problem in the field of machine learning. Mimicking human creativity has been popular in recent years, especially in the field of computer vision and image processing. With the advent of GANs, it is
Externí odkaz:
http://arxiv.org/abs/2011.00773
We present a new facial recognition system, capable of identifying a person, provided their likeness has been previously stored in the system, in real time. The system is based on storing and comparing facial embeddings of the subject, and identifyin
Externí odkaz:
http://arxiv.org/abs/2011.00443
A system to model the spread of COVID-19 cases after lockdown has been proposed, to define new preventive measures based on hotspots, using the graph clustering algorithm. This method allows for more lenient measures in areas less prone to the virus
Externí odkaz:
http://arxiv.org/abs/2011.00414
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