Embedded Systems and Artificial Intelligence

This book PDF is perfect for those who love Technology & Engineering genre, written by Vikrant Bhateja and published by Springer Nature which was released on 07 April 2020 with total hardcover pages 880. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Embedded Systems and Artificial Intelligence books below.

Embedded Systems and Artificial Intelligence

Author	: Vikrant Bhateja
File Size	: 49,5 Mb
Publisher	: Springer Nature
Language	: English
Release Date	: 07 April 2020
ISBN	: 9789811509476
Pages	: 880 pages

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Embedded Systems and Artificial Intelligence by Vikrant Bhateja Book PDF Summary

This book gathers selected research papers presented at the First International Conference on Embedded Systems and Artificial Intelligence (ESAI 2019), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 2–3 May 2019. Highlighting the latest innovations in Computer Science, Artificial Intelligence, Information Technologies, and Embedded Systems, the respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Embedded Systems and Artificial Intelligence by Vikrant Bhateja,Suresh Chandra Satapathy,Hassan Satori

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Beginning Artificial Intelligence with the Raspberry Pi by Donald J. Norris

Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the

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Learning in Embedded Systems by Leslie Pack Kaelbling

Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial and error experience with an external world. The text is a detailed exploration of

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TinyML by Pete Warden,Daniel Situnayake

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding

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Embedded Artificial Intelligence by Ovidiu Vermesan,Mario Diaz Nava,Björn Debaillie

Recent technological developments in sensors, edge computing, connectivity, and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained, energy-efficient hardware devices for processing information at the network edge. Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on

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Applied Soft Computing and Embedded System Applications in Solar Energy by Rupendra Kumar Pachauri,Jitendra Kumar Pandey,Abhishek Sharmu,Om Nautiyal,Mangey Ram

Examines the integration of hardware with stand-alone PV panels and real time monitoring of factors affecting the efficiency of the photovoltaic panels Offers the real time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by Anonim

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by Shiho Kim,Ganesh Chandra Deka

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