Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Parashar Dhakal"'
Publikováno v:
Multimodal Technologies and Interaction, Vol 6, Iss 6, p 47 (2022)
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like interaction between machines and humans. Their prowess in emanating an unambiguous information exchange between the two makes these systems more reliable, efficien
Externí odkaz:
https://doaj.org/article/98ccd3e4f61448f9804a96e91f3124a7
Autor:
Praveen Damacharla, Parashar Dhakal, Jyothi Priyanka Bandreddi, Ahmad Y. Javaid, Jennie J. Gallimore, Colin Elkin, Vijay K. Devabhaktuni
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8390 (2020)
This work presents a multi-year study conducted at the University of Toledo, aimed at improving human–machine teaming (HMT) methods and technologies. With the advent of artificial intelligence (AI) in 21st-century machines, collaboration between hu
Externí odkaz:
https://doaj.org/article/4ad75ce608844542aface862eb8ee605
Autor:
Ahmad Y. Javaid, Jack D. Zaientz, Vijay Devabhaktuni, Aasim Kamal, Parashar Dhakal, Robert P. Marinier, Devinder Kaur
Publikováno v:
Journal of Visualization. 24:861-890
With data comes uncertainty, which is a widespread and frequent phenomenon in data science and analysis. The amount of information available to us is growing exponentially, owing to never-ending technological advancements. Data visualization is one o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1feb76c0495b08c879d348a44e6addb4
https://doi.org/10.1007/s12650-021-00755-1
https://doi.org/10.1007/s12650-021-00755-1
Autor:
Jennie J. Gallimore, Vijay Devabhaktuni, Parashar Dhakal, Ahmad Y. Javaid, Colin Elkin, Jyothi Priyanka Bandreddi, Praveen Damacharla
Publikováno v:
Applied Sciences
Volume 10
Issue 23
Applied Sciences, Vol 10, Iss 8390, p 8390 (2020)
Volume 10
Issue 23
Applied Sciences, Vol 10, Iss 8390, p 8390 (2020)
This work presents a multi-year study conducted at the University of Toledo, aimed at improving human&ndash
machine teaming (HMT) methods and technologies. With the advent of artificial intelligence (AI) in 21st-century machines, collaboration b
machine teaming (HMT) methods and technologies. With the advent of artificial intelligence (AI) in 21st-century machines, collaboration b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe1cb0821c2510b58b2cd97e753f5a4
Publikováno v:
2020 International Conference on Artificial Intelligence & Modern Assistive Technology (ICAIMAT)
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a03e2057f4965a5cd7c72de7be8f49e5
https://doi.org/10.1109/icaimat51101.2020.9308013
https://doi.org/10.1109/icaimat51101.2020.9308013
Autor:
Ahmad Y. Javaid, Douglas C. Hodge, Sebastian Stumbo, Praveen Damacharla, David A. Malek, Parashar Dhakal, Subhashini Ganapathy, Vijay K. Devabhaktuni
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e24cf668aac912b4372c1ff194bc9c0
Publikováno v:
Machine Learning and Knowledge Extraction
Volume 1
Issue 1
Pages 31-520
Volume 1
Issue 1
Pages 31-520
In this paper, we present a novel pipelined near real-time speaker recognition architecture that enhances the performance of speaker recognition by exploiting the advantages of hybrid feature extraction techniques that contain the features of Gabor F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d34f0b973ac8c6476005b125be1828cc
Publikováno v:
ISSPIT
This work contributes towards building a novel architecture for the real-time detection of background sounds such as ambulance, helicopter, gunshot, and explosions that usually occurs in the medical first responder environment. Further, we also ensur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a3666dc8c5306fbaa786b88e9a6ce93
https://doi.org/10.1109/isspit.2018.8642755
https://doi.org/10.1109/isspit.2018.8642755
Publikováno v:
International Journal of Computer Applications. 95:31-37
Particle filter is considered as one of the most robust and accurate techniques in object tracking because of its capability to handle non-linear and non-Gaussian problems. However this technique fails whenever the tracked object is occluded by other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4547976aace41ad03a28cf58bcf1d977
https://doi.org/10.5120/16608-6443
https://doi.org/10.5120/16608-6443