Zobrazeno 1 - 10
of 6 386
pro vyhledávání: '"Kumar Ravi"'
Broadcast speech recognition and control system based on Internet of Things sensors for smart cities
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp p. 2403-10 (2023)
With the wide popularization of Internet of Things (IoT) technology, the design and implementation of intelligent speech equipment have attracted more and more researchers’ attention. Speech recognition is one of the core technologies to control in
Externí odkaz:
https://doaj.org/article/6ba3fb602a0c4dea8163eec9c8fc7ea5
Autor:
Kumar Ravi, Dhiman Babli
Publikováno v:
Acta Universitatis Sapientiae: Economics and Business, Vol 10, Iss 1, Pp 1-14 (2022)
This paper aims to test the long-run and short-run relationships between the Indian and Chinese metal futures markets using the weekly closing prices of three nonferrous metals, that is, copper, aluminium, and zinc, for the period of 2009–2020. The
Externí odkaz:
https://doaj.org/article/163eca1329494840a4a8d937fc2d1eb2
Publikováno v:
E3S Web of Conferences, Vol 537, p 07012 (2024)
This research examines the properties of advanced nanomaterials such as graphene, carbon nanotubes (CNTs), and metal-organic frameworks (MOFs) for use in sustainable energy applications. An examination of material composition shows that graphene has
Externí odkaz:
https://doaj.org/article/421e8551994b4e92894f3313c305fe32
Autor:
Modi Sanjay, Balmiki Vinod, Kaushik Vaibhav, Mohan Chandra, Kumar Ravi, Ravikanth P., Dayawati
Publikováno v:
E3S Web of Conferences, Vol 511, p 01015 (2024)
In order to tackle the worldwide problems of water pollution and shortage, this work explores the green synthesis of nanocomposite membranes for sustainable water filtering. Graphene oxide, cellulose nanocrystals, and silver nanoparticles were used a
Externí odkaz:
https://doaj.org/article/09100323aa724e6f8e83c2b980631665
Autor:
Vatin Nikolai Ivanovich, Rekha M., Nautiyal Mansi, Kumar Ravi, Suri Sahil, Rajoria Yogendra Kumar
Publikováno v:
E3S Web of Conferences, Vol 511, p 01020 (2024)
In this study, we present and examine the implementation of a fuzzy logic-driven energy storage management system devised to enhance the efficiency of charging and discharging activities in modern power grids. By using real data derived from the inst
Externí odkaz:
https://doaj.org/article/b284a735b2f649ec820a5b5ea6012a68
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 5, Pp 2262-2270 (2022)
Banking institution is a critical part of any country’s economy, which provides a variety of services for an individual or a business entity. Due to vast availability of banks and their services, it is a cumbersome task for a person to choose a ban
Externí odkaz:
https://doaj.org/article/4ddfc112dbb94b5f851f2ec34b2e632a
One of the core pillars of efficient deep learning methods is architectural improvements such as the residual/skip connection, which has led to significantly better model convergence and quality. Since then the residual connection has become ubiquito
Externí odkaz:
http://arxiv.org/abs/2411.07501
Autor:
Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sinha, Amer, Zhang, Chiyuan
We provide new lower bounds on the privacy guarantee of the multi-epoch Adaptive Batch Linear Queries (ABLQ) mechanism with shuffled batch sampling, demonstrating substantial gaps when compared to Poisson subsampling; prior analysis was limited to a
Externí odkaz:
http://arxiv.org/abs/2411.04205
Autor:
Xie, Chulin, Huang, Yangsibo, Zhang, Chiyuan, Yu, Da, Chen, Xinyun, Lin, Bill Yuchen, Li, Bo, Ghazi, Badih, Kumar, Ravi
Large language models (LLMs) achieve good performance on challenging reasoning benchmarks, yet could also make basic reasoning mistakes. This contrasting behavior is puzzling when it comes to understanding the mechanisms behind LLMs' reasoning capabi
Externí odkaz:
http://arxiv.org/abs/2410.23123
We study differential privacy (DP) in a multi-party setting where each party only trusts a (known) subset of the other parties with its data. Specifically, given a trust graph where vertices correspond to parties and neighbors are mutually trusting,
Externí odkaz:
http://arxiv.org/abs/2410.12045