Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Damacharla, Praveen"'
Autor:
Katyara, Sunny, Sharma, Suchita, Damacharla, Praveen, Santiago, Carlos Garcia, Dhirani, Lubina, Chowdhry, Bhawani Shankar
As the manufacturing industry shifts from mass production to mass customization, there is a growing emphasis on adopting agile, resilient, and human-centric methodologies in line with the directives of Industry 5.0. Central to this transformation is
Externí odkaz:
http://arxiv.org/abs/2409.10784
Autor:
Katyara, Sunny, Sharma, Suchita, Damacharla, Praveen, Santiago, Carlos Garcia, O'Farrell, Francis, Long, Philip
Designing an efficient and resilient human-robot collaboration strategy that not only upholds the safety and ergonomics of shared workspace but also enhances the performance and agility of collaborative setup presents significant challenges concernin
Externí odkaz:
http://arxiv.org/abs/2409.08166
In this research, an effort is made to address microgrid systems' operational challenges, characterized by power oscillations that eventually contribute to grid instability. An integrated strategy is proposed, leveraging the strengths of convolutiona
Externí odkaz:
http://arxiv.org/abs/2407.14984
In this paper, we present a machine learning based architecture for microwave characterization of inkjet printed components on flexible substrates. Our proposed architecture uses several machine learning algorithms and automatically selects the best
Externí odkaz:
http://arxiv.org/abs/2404.04623
There are multiple applications to automatically count people and specify their gender at work, exhibitions, malls, sales, and industrial usage. Although current speech detection methods are supposed to operate well, in most situations, in addition t
Externí odkaz:
http://arxiv.org/abs/2312.07059
Publikováno v:
International Conference on Applied Artificial Intelligence (ICAPAI 2021), Halden, Norway, May 19-21, 2021
Visual steel surface defect detection is an essential step in steel sheet manufacturing. Several machine learning-based automated visual inspection (AVI) methods have been studied in recent years. However, most steel manufacturing industries still us
Externí odkaz:
http://arxiv.org/abs/2101.06915
Autor:
Dhakal, Parashar, Damacharla, Praveen, Javaid, Ahmad Y., Vege, Hari K., Devabhaktuni, Vijay K.
Publikováno v:
1st International Conference on Artificial Intelligence & Modern Assistive Technology (ICAIMAT), Riyadh Saudi Arabia, November, 24-26, 2020
At the time of writing this paper, the world has around eleven million cases of COVID-19, scientifically known as severe acute respiratory syndrome corona-virus 2 (SARS-COV-2). One of the popular critical steps various health organizations are advoca
Externí odkaz:
http://arxiv.org/abs/2009.02673
Autor:
Damacharla, Praveen, Dhakal, Parashar, Stumbo, Sebastian, Javaid, Ahmad Y., Ganapathy, Subhashini, Malek, David A., Hodge, Douglas C., Devabhaktuni, Vijay
Publikováno v:
Int J Artif Intell Educ, 29, 122-143, 2018
As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responders. It is critical that medical first responders are well trained to de
Externí odkaz:
http://arxiv.org/abs/2008.05064
Publikováno v:
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, 2018, pp. 1-5
Computing and intelligence are substantial requirements for the accurate performance of autonomous ground vehicles (AGVs). In this context, the use of cloud services in addition to onboard computers enhances computing and intelligence capabilities of
Externí odkaz:
http://arxiv.org/abs/2008.04853
Publikováno v:
in IEEE Access, vol. 6, pp. 38637-38655, 2018
A significant amount of work is invested in human-machine teaming (HMT) across multiple fields. Accurately and effectively measuring system performance of an HMT is crucial for moving the design of these systems forward. Metrics are the enabling tool
Externí odkaz:
http://arxiv.org/abs/2008.04855