Zobrazeno 1 - 10
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pro vyhledávání: '"A Sudhakar"'
Publikováno v:
Wireless Pers Commun 135, 2024
Wireless networking is encouraged by the constant enhancement of sensors' ability and wireless communication. To provide service quality support for multimedia viz. audio and video streams, the IEEE 802.11e MAC (Media Access Control) improves basic 8
Externí odkaz:
http://arxiv.org/abs/2411.05368
Publikováno v:
Wireless Personal Communication, 2024
Sign languages are the language of hearing-impaired people who use visuals like the hand, facial, and body movements for communication. There are different signs and gestures representing alphabets, words, and phrases. Nowadays approximately 300 sign
Externí odkaz:
http://arxiv.org/abs/2411.04517
For the 3D localization problem using point spread function (PSF) engineering, we propose a novel enhancement of our previously introduced localization neural network, LocNet. The improved network is a physics-informed neural network (PINN) that we c
Externí odkaz:
http://arxiv.org/abs/2410.13295
Two dimensional conformal field theories with the extended $\mathcal{W}_3$ symmetry algebra have an infinite number of mutually commuting conserved charges, which are referred to as the quantum Boussinesq charges. In this work we construct local oper
Externí odkaz:
http://arxiv.org/abs/2410.11748
High runtime memory and high latency puts significant constraint on Vision Transformer training and inference, especially on edge devices. Token pruning reduces the number of input tokens to the ViT based on importance criteria of each token. We pres
Externí odkaz:
http://arxiv.org/abs/2410.09324
Activation functions introduce non-linearity into Neural Networks, enabling them to learn complex patterns. Different activation functions vary in speed and accuracy, ranging from faster but less accurate options like ReLU to slower but more accurate
Externí odkaz:
http://arxiv.org/abs/2410.10887
Deep neural networks (DNNs) can deteriorate in accuracy when deployment data differs from training data. While performing online training at all timesteps can improve accuracy, it is computationally expensive. We propose DecTrain, a new algorithm tha
Externí odkaz:
http://arxiv.org/abs/2410.02980
Autor:
Sah, Sudhakar, Ganji, Darshan C., Grimaldi, Matteo, Kumar, Ravish, Hoffman, Alexander, Rohmetra, Honnesh, Saboori, Ehsan
We introduce MCUBench, a benchmark featuring over 100 YOLO-based object detection models evaluated on the VOC dataset across seven different MCUs. This benchmark provides detailed data on average precision, latency, RAM, and Flash usage for various i
Externí odkaz:
http://arxiv.org/abs/2409.18866
Autor:
HEENA SHAH, A SUDHAKAR, SANDEEP KUMAR DONTHULA, HARDIK POOJARA, SWAPNIL GAJJAR, SUJIT SAHA, NILESH NAYEE
Publikováno v:
Indian Journal of Animal Sciences, Vol 92, Iss 10 (2022)
The current study tested the suitability of Illumina® BovineHD BeadChip in genotyping three riverine breeds of buffalo viz. Jaffarabadi, Murrah and Mehsana. Of the 777962 SNPs, 670955 SNPs were called in all animals and only 13150 SNPs were found to
Externí odkaz:
https://doaj.org/article/87b7e0560c204d058d6840e7841f5681
Autor:
Campiglia, Miguel, Sudhakar, Adarsh
Superrotations are local extensions of the Lorentz group at null infinity that have been argued to be symmetries of gravitational scattering. In their smooth version, they can be identified with the group of diffeomorphisms on the celestial sphere. T
Externí odkaz:
http://arxiv.org/abs/2408.13067