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Impact of Smart Technology and Economic Growth for Biomedical Applications
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Author(s): Dhinesh Kumar R. (Capgemini US, USA)
Copyright: 2020
Pages: 11
Source title:
Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Source Author(s)/Editor(s): Annamalai Suresh (Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, India), R. Udendhran (Department of Computer Science and Engineering, Bharathidasan University, India)and S. Vimal (Department of Information Technology, National Engineering College (Autonomous), Kovilpatti, India)
DOI: 10.4018/978-1-7998-3591-2.ch005
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Abstract
Commonly, the sensor installed by these entities collects the citizen and infrastructure data by explicit approval. The performance based on the outline of the citizens could be done through AI depending on the data they offer that could promote advancements in the cities, or it could be utilized for the profit of the corporation. Certain barriers should be crossed in order to succeed in achieving the deployments of the cities. Commonly, the only target is to inform AI through the data gathered by the IoT in the real-time process. At certain times, the generation of data is the main part that is done by several elements, and this could be employed in a deliberate way. Certain challenges are also faced in the economic growth and its impact on biomedical industry. This chapter presents the impact of smart technology and economic growth for biomedical applications.
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