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Titlebook: Smart Sensors Measurements and Instrumentation; Select Proceedings o Santhosh K V,K.Guruprasad Rao Conference proceedings 2021 The Editor(s

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楼主: 阿谀奉承
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Surajkumar Sawai,Shailaja Kurode and political excess in eighteenth-century writing. Having been rejected by the courtesan Sally Salisbury for two-timing her, the ‘Gentleman well known by the Name of .’, a holder of high office in Queen Anne’s government and ‘“A most profligate Debauchee”’, is invited to join a group of courtiers
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Shrikanth K. Shirakol,Veerayya Hiremath,S. S. Kerure diverged on its interpretation in significant ways; and yet they have tended to agree on one point whose implications for how to read the novel are fundamental. This is the conviction that Smollett’s central character, Matthew Bramble, speaks for its author and therefore articulates . social and e
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Manjusha R. Parodkar,Milankumar Sheta,Shreesha Chokkadixury brands worldwide expressed a certain preoccupation with the financial conditions of the market and how this could affect their business profit. In China at the same time, however, Chinese customers’ purchasing power, as well as their interest in and desire for luxury goods and services, was bei
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Revati Shriram,Nivedita Daimiwalnication to customer management and increased digitalization. In China, this has meant more opportunities to find new labour and benefit from development methods through electronic commerce (e-commerce). It is supposed that internet applications will represent up to 22 per cent of China’s productivi
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Toward Sustainable Cooling Strategy for Developing Nations: Opportunities for an Off-Grid Solar DC oposed work is to convert a conventional AC refrigerator into a DC refrigerator by retrofitting AC compressor with a DC compressor. Furthermore, the Internet of thing (IoT) implementation is incorporated to enhance the user experience by remotely controlling and monitoring the performance of the ref
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Internet of Things Enabled Electronic Tongue for Remote Monitoring of Water Quality,ndicates the quality of water in terms of light signals on a smartphone. The developed system demonstrates classification accuracy of 91.11% to classify water samples based on its quality. The results indicate that the system can be implemented further for remote analysis of a variety of samples.
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