IoT machine learning applications in telecom, energy, and agriculture : with raspberry Pi and arduino using python
Material type:
TextPublication details: New York : Apress, ©2020.Description: xv, 278 p. : ill. ; 20 cmISBN: - 9781484255483
- 004.678 MAT-I
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
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IIITD General Stacks | Computer Science and Engineering | 004.678 MAT-I (Browse shelf(Opens below)) | Available | Gifted by IIITD-IIC | G02594 |
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| 004.678 KUR-C Computer networking : a top-down approach featuring the internet | 004.678 LIS-S Securing the internet of things | 004.678 LIU-D DNS and Bind on IPv6 | 004.678 MAT-I IoT machine learning applications in telecom, energy, and agriculture : with raspberry Pi and arduino using python | 004.678 PAR-F The filter bubble : | 004.678 RAN-A Advances in cloud computing : | 004.678 SIN-E Edge computing |
Includes index and bibliographical references.
CHAPTER 1: Getting Started: Software and Hardware Needed
CHAPTER 2: Overview of IoT and IIoT
CHAPTER 3: Using Machine Learning with IoT and IIoT in Python
CHAPTER 4: Using Machine Learning and IoT in Telecom, Energy, and Agriculture
CHAPTER 5: Preparing for the Case Studies
CHAPTER 6: Configuring IIoT Energy Meter
CHAPTER 7: Telecom Industry Case Study: Solving the Problem of Call Drops with IoT
CHAPTER 8: Energy Industry Case Study: Predictive Maintenance for an Industrial Machine
CHAPTER 9: Agriculture Industry Case Study: Predicting a Cash Crop Yield. .
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