Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Rajdeep Kumar"'
Autor:
Raut, Rajdeep Kumar, Kumar, Santosh
Publikováno v:
Digital Policy, Regulation and Governance, 2023, Vol. 26, Issue 2, pp. 135-152.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DPRG-07-2023-0101
Autor:
Tashakori, Masoumeh, Rusanen, Matias, Karhu, Tuomas, Grote, Ludger, Nath, Rajdeep Kumar, Leppänen, Timo, Nikkonen, Sami
Publikováno v:
In Sleep Medicine May 2024 117:201-208
We present a novel methodology for automated feature subset selection from a pool of physiological signals using Quantum Annealing (QA). As a case study, we will investigate the effectiveness of QA-based feature selection techniques in selecting the
Externí odkaz:
http://arxiv.org/abs/2106.05134
This paper presents a model for predicting a driver's stress level up to one minute in advance. Successfully predicting future stress would allow stress mitigation to begin before the subject becomes stressed, reducing or possibly avoiding the perfor
Externí odkaz:
http://arxiv.org/abs/2106.07542
The advent of IoT has enabled the design of connected and integrated smart health monitoring systems. These smart health monitoring systems could be realized in a smart home context to render long-term care to the elderly population. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2107.09509
Machine Learning Based Anxiety Detection in Older Adults using Wristband Sensors and Context Feature
Publikováno v:
Springer Nature Computer Science (SNCS), 2021
This paper explores a novel method for anxiety detection in older adults using simple wristband sensors such as Electrodermal Activity (EDA) and Photoplethysmogram (PPG) and a context-based feature. The proposed method for anxiety detection combines
Externí odkaz:
http://arxiv.org/abs/2106.03019
Publikováno v:
Springer Nature Computer Science (SNCS), 2021
Optimizing the training of a machine learning pipeline helps in reducing training costs and improving model performance. One such optimizing strategy is quantum annealing, which is an emerging computing paradigm that has shown potential in optimizing
Externí odkaz:
http://arxiv.org/abs/2106.02964
Akademický článek
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Publikováno v:
Review of Accounting and Finance, 2023, Vol. 22, Issue 4, pp. 449-465.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RAF-12-2022-0353
Publikováno v:
Social Responsibility Journal, 2020, Vol. 17, Issue 7, pp. 877-896.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SRJ-02-2018-0052