Zobrazeno 1 - 10
of 4 693
pro vyhledávání: '"Kumar P. K."'
Autor:
Jain Rituraj, Chakravarthi M. Kalyan, Kumar P. K., Hemakesavulu O., Ramirez-Asis Edwin, Pelaez-Diaz Guillermo, Mahaveerakannan R.
Publikováno v:
Nonlinear Engineering, Vol 11, Iss 1, Pp 582-589 (2022)
Artificial intelligence (AI) is a machine intelligence technology with vast potential for a smart industrial revolution. This study aims to create new electric-powered transportation such as bicycles, motorbikes, and other vehicles. The combination o
Externí odkaz:
https://doaj.org/article/975997d595cd4959ab41028b41dd377c
Multi-Agent Path Finding (MAPF), which involves finding collision-free paths for multiple robots, is crucial in various applications. Lifelong MAPF, where targets are reassigned to agents as soon as they complete their initial targets, offers a more
Externí odkaz:
http://arxiv.org/abs/2403.13421
Vitrimers are polymer networks that can undergo bond exchange reactions. They dynamically rearrange their structures while maintaining their overall integrity, thus resulting in unique properties such as self-healing, reprocessability, shape memory a
Externí odkaz:
http://arxiv.org/abs/2402.16226
In the past few years, cybersecurity is becoming very important due to the rise in internet users. The internet attacks such as Denial of service (DoS) and Distributed Denial of Service (DDoS) attacks severely harm a website or server and make them u
Externí odkaz:
http://arxiv.org/abs/2308.08803
Publikováno v:
ACS Omega, Vol 9, Iss 29, Pp 32124-32132 (2024)
Externí odkaz:
https://doaj.org/article/38b5181f83094194a82e1a4972e32dbc
Publikováno v:
Indian Journal of Animal Sciences, Vol 94, Iss 10 (2024)
Agriculture and livestock sectors are crucial for economic and social equity in rural areas. Livestock sector growth and fodder availability are directly related. Enhancing profitability of livestock husbandry can only be possible by ensuring adequat
Externí odkaz:
https://doaj.org/article/c880e4313b3e4d0fa556f0e910af1017
Autor:
Lorena C S Chaves, Nichole Orr-Burks, Daryll Vanover, Varun V Mosur, Sarah R Hosking, Pramod Kumar E K, Hyeyoon Jeong, Younghun Jung, José A F Assumpção, Hannah E Peck, Sarah L Nelson, Kaitlyn N Burke, McKinzie A Garrison, Robert A Arthur, Henry Claussen, Nicholas S Heaton, Eric R Lafontaine, Robert J Hogan, Chiara Zurla, Philip J Santangelo
Publikováno v:
PLoS Pathogens, Vol 20, Iss 7, p e1012345 (2024)
The CRISPR-Cas13 system has been proposed as an alternative treatment of viral infections. However, for this approach to be adopted as an antiviral, it must be optimized until levels of efficacy rival or exceed the performance of conventional approac
Externí odkaz:
https://doaj.org/article/ff2b71e5f2c14cc889ed30f7de84cd2e
Neural Networks and related Deep Learning methods are currently at the leading edge of technologies used for classifying objects. However, they generally demand large amounts of time and data for model training; and their learned models can sometimes
Externí odkaz:
http://arxiv.org/abs/2204.05112
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 1, Pp 175-180 (2024)
Background: Botulinum toxin type A (BTX-A) is widely used to treat spasticity in children. The optimal strategy for the combined treatment of casting and BTX-A injections is not known. This prospective study is conducted to know the functional outcom
Externí odkaz:
https://doaj.org/article/39b4feb8fd7648c58b33e992629bdf76
Autor:
Sathyamoorthy, Adarsh Jagan, Patel, Utsav, Paul, Moumita, Kumar, Nithish K Sanjeev, Savle, Yash, Manocha, Dinesh
We present CoMet, a novel approach for computing a group's cohesion and using that to improve a robot's navigation in crowded scenes. Our approach uses a novel cohesion-metric that builds on prior work in social psychology. We compute this metric by
Externí odkaz:
http://arxiv.org/abs/2108.09848