Titlebook: IoT Machine Learning Applications in Telecom, Energy, and Agriculture; With Raspberry Pi an Puneet Mathur Book 2020 Puneet Mathur 2020 Mach

GLIDE

Getting Started: Necessary Software and Hardware,BC is and what it is used for. This chapter will explain SBCs and how they have developed historically. You will also learn about the most popular SBCs on the market such as Banana Pi, Raspberry Pi, and Arduino. In an in-depth comparison, I will explain the features of popular SBCs with regards to USB, storage, networking, and communication.

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Density

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Preparing for the Case Studies Implementation,ware and software from scratch. Of course, you will be installing the popular Raspbian OS for this. After this, you will set up the Arduino Mega 2560 to your Raspberry Pi along with the IoT sensor modules to get data from. This will be followed by setting up the Python required for running a program

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Telecom Industry Case Study: Solving the Problem of Call Drops with the IoT,se study is a near-to-real problem of call drops, which most telecommunication companies grapple with. The case study takes you through the formation of a telecom operator, giving you enough background of its business establishment. The case study gives you a common political and business background

Paradox

Gantara power plant: Predictive Maintenance for an Industrial Machine, is against a backdrop of a fictitious country in the future in the African region. It lays down the challenges of setting up a power plant in a third-world country from taking up the task of land acquisition to conceptualizing its design to actually setting it up. Also covered are the technical req