Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ripan Kumar"'
Publikováno v:
AIP Advances, Vol 14, Iss 1, Pp 015025-015025-19 (2024)
We report results of Field Emission Scanning Electron Microscopy (FESEM), Energy Dispersive Analysis of X-rays (EDAX), X-ray Photoelectron Spectroscopy (XPS), X-ray Reflectivity (XRR), and X-ray Diffraction (XRD) and residual stress measurement studi
Externí odkaz:
https://doaj.org/article/e8af7a845cfa4024a2446226531bcc08
Autor:
Setu, Jyotirmay Nag, Le, Joshua M, Kundu, Ripan Kumar, Giesbrecht, Barry, Höllerer, Tobias, Hoque, Khaza Anuarul, Desai, Kevin, Quarles, John
Virtual Reality (VR) is quickly establishing itself in various industries, including training, education, medicine, and entertainment, in which users are frequently required to carry out multiple complex cognitive and physical activities. However, th
Externí odkaz:
http://arxiv.org/abs/2409.06898
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:
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:
http://arxiv.org/abs/2302.01985
The state-of-the-art predictive maintenance (PdM) techniques have shown great success in reducing maintenance costs and downtime of complicated machines while increasing overall productivity through extensive utilization of Internet-of-Things (IoT) a
Externí odkaz:
http://arxiv.org/abs/2301.10822
Cybersickness can be characterized by nausea, vertigo, headache, eye strain, and other discomforts when using virtual reality (VR) systems. The previously reported machine learning (ML) and deep learning (DL) algorithms for detecting (classification)
Externí odkaz:
http://arxiv.org/abs/2209.05257
Autor:
Reza, Md. Selim, Ghosh, Avijit, Gassoumi, Abdelaziz, Hasan, Md Rafid, Shahjalal, Mohammad, Yahia, Abul Kashem Mohammad, Reza, Md. Shamim, Prodhan, Ripan Kumar, Islam, Md Majharul, Talukder, Md Jakaria, Chaudhry, Aijaz Rasool, Akter, Mst. Mohona
Publikováno v:
In Inorganic Chemistry Communications February 2025 172
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Akademický článek
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