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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John A. Richards physically fit. Mobile health (mHealth) has emerged as a convenient and cost-effective tool to deliver healthcare services and help people monitor their health. The present chapter draws on adaptive goal-setting theory to examine the perception of using mHealth by individuals in Malaysia, a develop

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John A. Richardshe impact of social media on their businesses. In the sales context, studies on older salespeople’s adoption of social media to increase their sales performance remain scarce in the literature. Using a qualitative approach, this study provides valuable insights into the motivations of older salespeo

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John A. Richardsuser acceptance is crucial. This study explores factors influencing users’ acceptance of AR indoor navigation, combining traditional elements from the Technology Acceptance Model (TAM) with two additional dimensions: self-face concern and perceived enjoyment. Data from 150 valid responses were colle

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John A. Richards the healthcare industry in a new form with promising advances in testing, monitoring processes. Monitoring the health issues of the patients, organizing the treatment initiatives, and empowering the physicians it is providing superlative measures. The invention of the IoT through internet based art

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human intervention. In-depth learning uses a variety of statistical models and programs that allow different computational properties to reach the highest point. It is estimated that the market development of artificial intelligence and technology for deep learning will amount to USD 500 billion by

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Katarzyna Poczeta,?ukasz Kubu?,Alexander Yastrebov ganz neuen Teilen der Welt und auch allen m?glichen neuen Ger?ten erlaubt, sich ins Internet einzuw?hlen. Der Weg geht von der Kultur der über Draht verbundenen Desktops zu einer der zahllosen allgegenw?rtigen, über Funk verbundenen mobilen Ger?te.

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Aligning Users Across Social Networks via Intra and Inter Attentionsat the user alignment problem as a classification task and predict it upon a deep neural network. We conduct extensive experiments on six real-world datasets, and the results demonstrate the superiority of the proposed method against state-of-the-art competitors.

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Robert Walters,Leon Trakman,Bruno Zellerplex structures. These techniques include automatic reuse, parameterized reuse, parameterized topologies, and developmental genetic programming. The paper describes these techniques and how they contribute to automated design.