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A01=Berkan Höke
A01=Cem Ünsalan
A01=Eren Atmaca
Age Group_Uncategorized
Age Group_Uncategorized
Author_Berkan Höke
Author_Cem Ünsalan
Author_Eren Atmaca
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Category1=Non-Fiction
Category=TJFC
Category=UKM
Category=UYF
Category=UYQM
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
PS=Forthcoming
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Embedded Machine Learning with Microcontrollers: Applications on Arduino Boards

English

By (author): Berkan Höke Cem Ünsalan Eren Atmaca

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. Following the learning-by-doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples, providing them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify microcontroller properties easily, the material allows for fast implementation of the developed system. Students are guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and real-world projects are available for readers and instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.

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Original price €67.99
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A01=Berkan HökeA01=Cem ÜnsalanA01=Eren AtmacaAge Group_UncategorizedAuthor_Berkan HökeAuthor_Cem ÜnsalanAuthor_Eren Atmacaautomatic-updateCategory1=Non-FictionCategory=TJFCCategory=UKMCategory=UYFCategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 29 Nov 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 29 Nov 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031694202

About Berkan HökeCem ÜnsalanEren Atmaca

Cem Ünsalan is a full professor at the Department of Electrical and Electronics Engineering at Yeditepe University Turkey since 2013. He is the Dean of the Faculty of Engineering at the same university. Dr. Ünsalan also worked as a full professor at the Department of Electrical and Electronics Engineering at Marmara University Turkey between 2017 and 2023. He served as the department head for four years there. Dr. Ünsalan received his BSc degree from Hacettepe University Turkey his MSc degree from Bogazici University Turkey and his Ph.D. from The Ohio State University USA in 1995 1998 and 2003 respectively. His research focuses on embedded systems computer vision and remote sensing. He has published extensively on these topics in respected journals and has written several books including Embedded System Design with ARM Cortex-M Microcontrollers: Applications with C C++ and MicroPython (Springer 2022). Berkan Höke is currently working as a senior machine vision engineer at Agsenze Ltd United Kingdom. He has a diverse professional background including roles as a computer vision engineer at Migros Turkey (20172020) machine learning engineer at Huawei Turkey (20202022) and computer vision engineer at Techsign Turkey (20222023). Mr. Höke received his BSc degree from Bilkent University Turkey and his MSc degree from Boaziçi University Turkey in 2014 and 2019 respectively. His research focuses on machine learning computer vision and embedded systems. Eren Atmaca is currently pursuing his masters degree in communications and electronics engineering at Technical University of Munich Germany. He received his bachelor's degree from Marmara University Turkey in 2022. His research focuses on embedded systems signal processing and machine learning.

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