Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Vijay K. Devabhaktuni"'
Autor:
Abhishek Sahu, Khair A. Al Shamaileh, Peter H. Aaen, Said A. Abushamleh, Vijay K. Devabhaktuni
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 34-45 (2021)
In this article, a systematic procedure is presented for the design of a dual-band unequal-split Wilkinson power divider (WPD) with high frequency and power division ratios. The design methodology is based on replacing the impractical high-impedance
Externí odkaz:
https://doaj.org/article/78a7992981884c558871dc463b1589fb
Publikováno v:
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:
https://doaj.org/article/009488470e0347ac9e24fbc13a94aac4
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:
Nahian Siddique, Sidike Paheding, Abel A. Reyes Angulo, Md. Zahangir Alom, Vijay K. Devabhaktuni
Publikováno v:
Journal of medical imaging (Bellingham, Wash.). 9(6)
U-Net is a deep learning technique that has made significant contributions to medical image segmentation. Although the accomplishments of deep learning algorithms in terms of image processing are evident, many challenges still need to be overcome to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb0c9b8a5d1704a275d0de666a80732c
https://pubmed.ncbi.nlm.nih.gov/36591602
https://pubmed.ncbi.nlm.nih.gov/36591602
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:
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63639413ec5c4d1ded7a453b4d6a1ac6
https://doi.org/10.1109/access.2018.2853560
https://doi.org/10.1109/access.2018.2853560
Publikováno v:
WWW '19 The World Wide Web Conference
WWW
WWW
We consider the problem of analyzing timestamped relational events between a set of entities, such as messages between users of an on-line social network. Such data are often analyzed using static or discrete-time network models, which discard a sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd467963d668904d51833e7a3a2eef7
https://hdl.handle.net/20.500.11850/347637
https://hdl.handle.net/20.500.11850/347637
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319943459
Autonomous ground vehicles (AGVs) play a significant role in performing the versatile task of replacing human-operated vehicles and improving vehicular traffic. This facilitates the advancement of an independent and interdependent decision-making pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3023d091c3ab324c512134b6fe84237e
https://doi.org/10.1007/978-3-319-94346-6_4
https://doi.org/10.1007/978-3-319-94346-6_4
Publikováno v:
Advances in Human Error, Reliability, Resilience, and Performance ISBN: 9783319943909
The rapid increase in integration of intelligent systems in every corner of technology created an emerging field called Human-Machine Teaming (HMT). In HMT, human and machine collaborate with one another to accomplish a common goal or task. To achiev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0677df4be223d87efd3357266c758e
https://doi.org/10.1007/978-3-319-94391-6_5
https://doi.org/10.1007/978-3-319-94391-6_5
Publikováno v:
PIERS Online. 3:77-82
Owing to the negative and nonlinear nature of phase constant (fl) versus frequency, left-handed transmission lines (LH-TLs) can present higher values of fl as compared to right- handed ones. As such, left-handed (LH) structures are promising in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2316f60460393ea315f3193a5baf141
https://doi.org/10.2529/piers060905164931
https://doi.org/10.2529/piers060905164931