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Titlebook: Intelligent Transportation Systems: Theory and Practice; Amit Kumar Tyagi,Niladhuri Sreenath Book 2023 The Editor(s) (if applicable) and T

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樓主: Magnanimous
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發(fā)表于 2025-3-28 16:34:54 | 只看該作者
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發(fā)表于 2025-3-28 21:21:48 | 只看該作者
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發(fā)表于 2025-3-28 23:14:26 | 只看該作者
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發(fā)表于 2025-3-29 04:40:17 | 只看該作者
Amit Kumar Tyagi,Niladhuri Sreenathesign science research framework, dermatologists and patients have been interviewed to investigate and evaluate an AR prototype in the context of therapy understanding and medication adherence for patients. A visual framework of a mobile application and the AR prototype were demonstrated to dermatol
45#
發(fā)表于 2025-3-29 08:14:21 | 只看該作者
Amit Kumar Tyagi,Niladhuri Sreenathage study (.?=?250), we found that people do hold complex affective responses toward AI diagnostics, even without directly interacting with AI. Findings are relevant to designers of AI systems who might consider how users’ . affect may make them more or less resistant to technological adoption. Addi
46#
發(fā)表于 2025-3-29 13:28:53 | 只看該作者
Amit Kumar Tyagi,Niladhuri Sreenath to measure reaction time and to adapt tests to increase diagnostic accuracy..This abstract presents READAPT an application supporting the Bells Test, with the aim of overcoming the limits of existing static paper-and-pencil diagnostic tools and to facilitate recording and analysis of patient’s visu
47#
發(fā)表于 2025-3-29 16:49:45 | 只看該作者
Amit Kumar Tyagi,Niladhuri Sreenathiers to construct a stronger classifier with higher accuracy. In order to validate the effectiveness of the proposed method, we tested our algorithm on 89 healthy subjects of the ECG-ID database. Experimental results show that the proposed method can achieve accuracy rate of 98.88% within 7?s, which
48#
發(fā)表于 2025-3-29 20:26:59 | 只看該作者
Amit Kumar Tyagi,Niladhuri Sreenathequinus gait data in experimental analysis. Three participants walked normally, two participants simulated walking with equinus on the right leg, and two participants simulated walking with equinus on both legs. We have used two Sparkfun 9DoF Razor Inertial Measurement Unit (IMU) sensors having samp
49#
發(fā)表于 2025-3-30 01:55:18 | 只看該作者
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發(fā)表于 2025-3-30 04:40:59 | 只看該作者
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