IoT machine learning applications in telecom, energy, and agriculture : with raspberry Pi and arduino using python

By:

Mathur, Puneet

Material type: Text

9781484255483

Subject(s):

DDC classification:

004.678 MAT-I

Contents:

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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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds
Books	IIITD General Stacks	Computer Science and Engineering	004.678 MAT-I (Browse shelf(Opens below))	Available	Gifted by IIITD-IIC		G02594

Total holds: 0

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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