Artificial Intelligence Iot Sensor Based by Kumar Sachin (5 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2022

      6204741861 / 9786204741864

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Feb 2022, 2022

      6204741861 / 9786204741864

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2022

      6204741861 / 9786204741864

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Feb 2022, 2022

      6204741861 / 9786204741864

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2022

      6204741861 / 9786204741864

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      £ 99.88

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      Taschenbuch. Condition: 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.