Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ripan Kumar Kundu"'
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 10, Iss 3, p 53 (2021)
One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms
Externí odkaz:
https://doaj.org/article/9fb8225ce3e742348920e3d53ffb4c62
Cybersickness is a common ailment associated with virtual reality (VR) user experiences. Several automated methods exist based on machine learning (ML) and deep learning (DL) to detect cybersickness. However, most of these cybersickness detection met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ea8b89d112ac5092fbfb4357b80f36
http://arxiv.org/abs/2302.03037
http://arxiv.org/abs/2302.03037
A plethora of recent research has proposed several automated methods based on machine learning (ML) and deep learning (DL) to detect cybersickness in Virtual reality (VR). However, these detection methods are perceived as computationally intensive an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db89a6c36d25708b8e531ceeb4ba9f13
http://arxiv.org/abs/2302.01985
http://arxiv.org/abs/2302.01985
Autor:
Shuva Paul, Ripan Kumar Kundu
Publikováno v:
2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6320bf3f0df1d84b6c72bff0c87d096a
https://doi.org/10.1109/isgt50606.2022.9817480
https://doi.org/10.1109/isgt50606.2022.9817480
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 10, Iss 53, p 53 (2021)
Journal of Sensor and Actuator Networks
Volume 10
Issue 3
Journal of Sensor and Actuator Networks
Volume 10
Issue 3
One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e014492928439e14fe483f29c9aa4ca
https://doi.org/10.3390/jsan10030053
https://doi.org/10.3390/jsan10030053
Publikováno v:
2017 Innovations in Power and Advanced Computing Technologies (i-PACT).
Electric three wheelers are used extensively in most of the districts of Bangladesh for transportation. Despite the apparent advantages these vehicles are consuming a huge amount of energy. To provide this increasing number of energy for a developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f18f4ce7e9644a8c8c88f7865e39073
https://doi.org/10.1109/ipact.2017.8244931
https://doi.org/10.1109/ipact.2017.8244931
Publikováno v:
UEMCON
The resource of radio frequency spectrum is not efficiently managed, and the increased dependence on wireless devices in the modern era just adds to the problem. The concept of cognitive radio aims to overcome the problem of limited radio frequency s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d8fead63ea9a8962980d2c49a629433
https://doi.org/10.1109/uemcon.2016.7777887
https://doi.org/10.1109/uemcon.2016.7777887