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Springer MCMI 2020 Proceedings - Machine Learning and IoT

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Description

This volume from Springer contains peer-reviewed papers from the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). As part of the Lecture Notes in Electrical Engineering series, volume 887 provides an academic look at recent technological trends and advancements. The content covers a broad range of technical fields including VLSI design, wireless communications, and signal processing. Readers will find research on machine learning, image processing, and cloud computing, alongside studies on green energy, renewable energy, and hybrid vehicles. This collection is a valuable resource for understanding modern developments in CMOS sensors, RFID, transducers, and the Internet of Things.

Key Features

Contains peer-reviewed papers from the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020).

Part of the Springer Lecture Notes in Electrical Engineering series, specifically volume 887.

Covers advanced topics such as machine learning, image processing, and cloud computing.

Includes research on hardware and design technologies like VLSI design, IC technologies, and CMOS sensors.

Provides insights into communication systems including wireless and optical communications.

Discusses energy and environmental technologies such as green energy, renewable energy, and hybrid vehicles.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 July 2023
Listed Since
16 June 2023

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