Zobrazeno 1 - 10
of 20 189
pro vyhledávání: '"Praveen Kumar, A."'
Generative AI is transforming education by enabling personalized learning, enhancing administrative efficiency, and fostering creative engagement. This paper explores the opportunities and challenges these tools bring to pedagogy, proposing actionabl
Externí odkaz:
http://arxiv.org/abs/2411.15971
In the present work, we investigate cosmological perturbations of viscous modified chaplygin gas model. Using 1 + 3 covariant formalism, we define covariant and gauge invariant gradient variables, which after the application of scalar decomposition a
Externí odkaz:
http://arxiv.org/abs/2411.11309
Abnormalities in the gastrointestinal tract significantly influence the patient's health and require a timely diagnosis for effective treatment. With such consideration, an effective automatic classification of these abnormalities from a video capsul
Externí odkaz:
http://arxiv.org/abs/2410.19363
Arrhythmias are irregularities in the hearts electrical system which cause rapid and irregular heartbeats. These heart conditions affect over 33 million people globally and significantly increase the risk of severe complications, including stroke, he
Externí odkaz:
http://arxiv.org/abs/2410.19827
Brain-computer interfaces (BCIs) enable direct interaction between users and computers by decoding brain signals. This study addresses the challenges of detecting P300 event-related potentials in electroencephalograms (EEGs) and integrating these P30
Externí odkaz:
http://arxiv.org/abs/2410.08561
Let $X$ be a normal projective variety with an action of a semisimple algebraic group $G$ such that $X$ contains a unique closed orbit. Let $B$ be a Borel subgroup of $G$ and let $E$ be a $B$-equivariant vector bundle on $X$. In this article, we prov
Externí odkaz:
http://arxiv.org/abs/2409.20376
Autor:
Sedlak, Boris, Pujol, Victor Casamayor, Morichetta, Andrea, Donta, Praveen Kumar, Dustdar, Schahram
The current scenario of IoT is witnessing a constant increase on the volume of data, which is generated in constant stream, calling for novel architectural and logical solutions for processing it. Moving the data handling towards the edge of the comp
Externí odkaz:
http://arxiv.org/abs/2409.17937
Autor:
Jangra, Divya, De, Binoy Krishna, Sharma, Pragati, Chakraborty, Koushik, Parate, Shubham, Yogi, Arvind Kumar, Mittal, Ranjan, Gupta, Mayanak K, Nukala, Pavan, Velpula, Praveen Kumar, Sathe, Vasant G.
The anisotropic light-matter interactions in 2D materials have garnered significant attention for their potential to develop futuristic polarization-based optoelectronic devices, such as photodetectors and photo-actuators. In this study, we investiga
Externí odkaz:
http://arxiv.org/abs/2409.17570
Advanced wearable sensor devices have enabled the recording of vast amounts of movement data from individuals regarding their physical activities. This data offers valuable insights that enhance our understanding of how physical activities contribute
Externí odkaz:
http://arxiv.org/abs/2408.10191
Depth estimation is a critical topic for robotics and vision-related tasks. In monocular depth estimation, in comparison with supervised learning that requires expensive ground truth labeling, self-supervised methods possess great potential due to no
Externí odkaz:
http://arxiv.org/abs/2408.01565