Isbn: 9786204741864 - artificial intelligence and iot sensor-based supervision system: an experimental perspective approach (5 resultados)

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2022

      6204741861 / 9786204741864

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      Taschenbuch. Condición: Neu. Artificial Intelligence and IoT Sensor-based Supervision System | An Experimental Perspective Approach | Sachin Kumar (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204741864 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Feb 2022, 2022

      6204741861 / 9786204741864

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 79,90

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      Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the present situation, the world is moving towards digitalization where everything is made smart, easy, and comfortable for people of every age group. This book presented an experimental approach for smart supervision systems using Internet of Things (IoT) integration with Artificial Intelligence, Computer Vision, and Deep Learning. The most crucial devices that have been used to implement the experiments are Raspberry Pi, ESP8266 NodeMCU Microcontroller, and Arduino Microcontroller whereas, the sensors that were used for the same are PIR, Flame, MQ2, and Ultrasonic. Furthermore, the programming languages used for the experiments were Python, Arduino (C/C++), HTML, and CSS. 168 pp. Englisch.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2022

      6204741861 / 9786204741864

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      Librería: moluna, Greven, Alemaniamoluna

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      EUR 64,09

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      Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar SachinSachin Kumar is currently working as Teaching Assistant in the Department of Computer Science and IT, Kishtwar Campus, University of Jammu. Dr. Sourabh Shastri is currently working as an Assistant Professor in the D.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Feb 2022, 2022

      6204741861 / 9786204741864

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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      EUR 79,90

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      Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the present situation, the world is moving towards digitalization where everything is made smart, easy, and comfortable for people of every age group. This book presented an experimental approach for smart supervision systems using Internet of Things (IoT) integration with Artificial Intelligence, Computer Vision, and Deep Learning. The most crucial devices that have been used to implement the experiments are Raspberry Pi, ESP8266 NodeMCU Microcontroller, and Arduino Microcontroller whereas, the sensors that were used for the same are PIR, Flame, MQ2, and Ultrasonic. Furthermore, the programming languages used for the experiments were Python, Arduino (C/C++), HTML, and CSS.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2022

      6204741861 / 9786204741864

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      EUR 113,15

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      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the present situation, the world is moving towards digitalization where everything is made smart, easy, and comfortable for people of every age group. This book presented an experimental approach for smart supervision systems using Internet of Things (IoT) integration with Artificial Intelligence, Computer Vision, and Deep Learning. The most crucial devices that have been used to implement the experiments are Raspberry Pi, ESP8266 NodeMCU Microcontroller, and Arduino Microcontroller whereas, the sensors that were used for the same are PIR, Flame, MQ2, and Ultrasonic. Furthermore, the programming languages used for the experiments were Python, Arduino (C/C++), HTML, and CSS.