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£118 today · previous high £118 · all-time low £117

Elsevier TinyML for Edge Intelligence in IoT and LPWAN Networks

Amazon

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Price range: £117 - £118

Price levels: 2 different prices over 49 days

Description

TinyML for Edge Intelligence in IoT and LPWAN Networks is an academic resource published by Elsevier through Academic Press that explores the intersection of machine learning and edge computing within resource-constrained environments. This book addresses the growing need to deploy intelligent algorithms directly on IoT devices and low-power wide-area network systems, eliminating the requirement for constant cloud connectivity and reducing latency in real-world applications. The text examines practical techniques for implementing machine learning models on microcontrollers and embedded systems, covering optimization strategies, model compression, and deployment methodologies essential for edge intelligence. Ideal for engineers, researchers, and developers working with IoT solutions, this reference provides comprehensive insights into building intelligent edge systems that operate efficiently within power and memory limitations.

Key Features

Covers TinyML implementation techniques specifically designed for edge devices and IoT systems with limited computational resources.

Explores LPWAN network integration strategies for deploying machine learning models across low-power wide-area networks.

Addresses model optimization and compression methods essential for running intelligent algorithms on microcontroller-based edge devices.

Published by Academic Press, offering peer-reviewed academic rigour and authoritative guidance on edge intelligence architectures.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 June 2024
Listed Since
16 June 2023

Barcode

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