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Titlebook: Radio Wave Propagation; An Introduction for John A. Richards Book 2008 Springer-Verlag Berlin Heidelberg 2008 Earth Atmosphere.Fundament.N

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11#
發(fā)表于 2025-3-23 12:18:13 | 只看該作者
John A. Richards, and losing sales. Internal drivers included the desire to become a role model for younger team members, building a personal brand, and self-improvement. The findings provide substantial theoretical and practical implications to the body of sales literature.
12#
發(fā)表于 2025-3-23 17:26:26 | 只看該作者
John A. Richardsd usefulness, in turn, affects users’ intention to use the technology. The research enriches the understanding of AR indoor navigation technology adoption, considering self-face concern and perceived enjoyment. It provides valuable insights for enhancing AR indoor navigation technology to better cat
13#
發(fā)表于 2025-3-23 18:54:51 | 只看該作者
14#
發(fā)表于 2025-3-23 22:31:14 | 只看該作者
15#
發(fā)表于 2025-3-24 02:59:32 | 只看該作者
16#
發(fā)表于 2025-3-24 09:19:46 | 只看該作者
s book. It treats the essential elements of radio wave propagation without requiring recourse to advanced elect- magnetic concepts and equations; however it provides suf cient detail to allow those concerned wi978-3-540-77124-1978-3-540-77125-8
17#
發(fā)表于 2025-3-24 13:06:03 | 只看該作者
18#
發(fā)表于 2025-3-24 18:20:19 | 只看該作者
y remotely monitoring farms of all types using the Internet of Things (IoTs). The system uses sensors to monitor different parameters for these living things to ensure that a proper environment is maintained at all times. This chapter gives a detailed explanation of the data loggers which transmit d
19#
發(fā)表于 2025-3-24 19:06:12 | 只看該作者
John A. Richardsy remotely monitoring farms of all types using the Internet of Things (IoTs). The system uses sensors to monitor different parameters for these living things to ensure that a proper environment is maintained at all times. This chapter gives a detailed explanation of the data loggers which transmit d
20#
發(fā)表于 2025-3-25 00:27:09 | 只看該作者
John A. Richardsently extracted and stored as unused raw data. On the other hand, machine learning and data mining techniques are becoming popular in the medical field, providing the ability to extract knowledge and valuable information from electronic health records along with accurately predicting future disease
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