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Weight-Reduction%3A-can-you-do-it-With-Exercise-Alone%3F.md

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+<br> Another cause for a lower performance in the adaptive design compared to at all times working BayeSlope, particularly for more intense exercise (earlier than and after VO2max) and during restoration, as shown in Table 1, is due to a difficulty in the error detection. After the signal filtering and REWARD operating on the FC, the error detection (additionally operating on the FC) checks the accuracy of the R peaks output. The totally different segments shown in Fig. 9 characterize growing exercise intensities until the restoration after exhaustion (section 5), as described in Section 4. In Fig. 9a, Subject 7 has one of many worst error rates for the new algorithm, and the reason being that section three is sort of noisy. Subject 16, representing top-of-the-line case eventualities in Fig. 12c, highlights the adaptivity of the total design and its error detection by the segments, starting with a minimal energy consumption, since solely REWARD is running, and maximum attainable accuracy. In the case of a smaller quantity of coaching knowledge, e.g., One hundred dog images, PCK considerably decreases by 9.57% even with other class knowledge.<br>
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