Tinyml

Download Tinyml full books in PDF, epub, and Kindle. Read online Tinyml ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

DOWNLOAD NOW!

Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

TinyML for Edge Intelligence in IoT and LPWAN Networks

Author : Bharat S Chaudhari
Publisher : Elsevier
ISBN 13 : 0443222037
Total Pages : 520 pages
Book Rating : 4.4/5 (432 download)

DOWNLOAD NOW!

Book Synopsis TinyML for Edge Intelligence in IoT and LPWAN Networks by : Bharat S Chaudhari

Download or read book TinyML for Edge Intelligence in IoT and LPWAN Networks written by Bharat S Chaudhari and published by Elsevier. This book was released on 2024-06-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. Applications from the healthcare and industrial sectors are presented. Guidance on the design of applications and the selection of appropriate technologies is provided.

Introduction to TInyML

Author : Rohit Sharma
Publisher : AITS Inc
ISBN 13 :
Total Pages : 182 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Introduction to TInyML by : Rohit Sharma

Download or read book Introduction to TInyML written by Rohit Sharma and published by AITS Inc. This book was released on 2022-07-20 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an effort by AI Technology & Systems to demystify the TinyML technology including market, applications, algorithms, tools and technology. the book dive deeper into the technology beyond common application and keep it light for the readers with varying background including students, hobbyists, managers, market researchers and developers. It starts with introduction to TinyML with benefits and scalability. It introduces no-code and low-code tinyML platform to develop production worthy solutions including audio wake word, visual wake word, American sign language and predictive maintenance. Last two chapters are devoted to sensor and hardware agnostic autoML and tinyML compiler technologies. More information at http://thetinymlbook.com/

Practical Deep Learning for Cloud, Mobile, and Edge

Author : Anirudh Koul
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492034819
Total Pages : 585 pages
Book Rating : 4.4/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Practical Deep Learning for Cloud, Mobile, and Edge by : Anirudh Koul

Download or read book Practical Deep Learning for Cloud, Mobile, and Edge written by Anirudh Koul and published by "O'Reilly Media, Inc.". This book was released on 2019-10-14 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

DOWNLOAD NOW!

Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Automate It with Zapier

Author : Kelly Goss
Publisher : Packt Publishing Ltd
ISBN 13 : 1800200471
Total Pages : 618 pages
Book Rating : 4.8/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Automate It with Zapier by : Kelly Goss

Download or read book Automate It with Zapier written by Kelly Goss and published by Packt Publishing Ltd. This book was released on 2021-08-25 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build easy and accessible solutions for automating mundane processes in marketing, sales, operations, and finance to enable teams to focus on core tasks Key FeaturesLearn Zapier and find solutions to specific problems with this comprehensive yet concise guideExplore various scenarios describing specific business problems and how they can be solved with ZapierDiscover expert tips and practical examples to harness the full potential of ZapierBook Description Zapier is an emerging no-code workflow automation technology that enables organizations to connect their cloud-based and web applications and automate data transfer between them. Zapier's built-in features and flexibility allow users to integrate thousands of business applications and create simple to complex automation to reduce time spent on repetitive tasks, thereby increasing productivity. This book is a must-have for business owners, their employees, and independent freelancers and contractors looking to use Zapier for business process automation. The book takes a hands-on approach to implementation and associated problem-solving methodologies that will have you up-and-running and productive in no time while leveling up your automation skills. You'll discover how to plan your automation building for optimal results, what are the native features available in Zapier, and the applications that connect with it, as well as how to optimally configure your workflows to automate your processes in as few steps as possible. Finally, you'll find out how to create advanced workflow automation from scratch and learn how to troubleshoot issues. By the end of this Zapier book, you'll be able to build your own advanced workflow automation using Zapier, addressing the key pain points encountered in businesses with manual and repetitive tasks. What you will learnThink creatively to plan your business workflows to overcome specific business problemsGet to grips with the native features and built-in applications available in ZapierExplore different types of third-party business applications that integrate with ZapierConfigure your workflows optimally to automate business processes and minimize task usageUse Zapier's library of pre-built workflows and create advanced workflows from scratchDiscover the extensive functionality and practical uses of Zapier's built-in appsWho this book is for This book is for solutions architects, process consultants, business analysts, virtual assistants, digital marketers, CRM consultants, online business managers, technical consultants, bookkeepers, and accountants who want to deploy effective automation techniques in Zapier. This book will help micro, small, or medium-sized businesses to increase their productivity using workflow automation with Zapier, as well as freelancers and contractors providing digital process improvement, systemizing, and automation services. No prior experience with business process automation or Zapier is required.

Artificial Intelligence Applications and Innovations

Author : Ilias Maglogiannis
Publisher : Springer Nature
ISBN 13 : 3031083377
Total Pages : 528 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence Applications and Innovations by : Ilias Maglogiannis

Download or read book Artificial Intelligence Applications and Innovations written by Ilias Maglogiannis and published by Springer Nature. This book was released on 2022-06-16 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.

The 6th Mechanical Engineering, Science and Technology (MEST 2022) International Conference

Author : Taurista Perdana Syawitri
Publisher : Springer Nature
ISBN 13 : 9464631341
Total Pages : 633 pages
Book Rating : 4.4/5 (646 download)

DOWNLOAD NOW!

Book Synopsis The 6th Mechanical Engineering, Science and Technology (MEST 2022) International Conference by : Taurista Perdana Syawitri

Download or read book The 6th Mechanical Engineering, Science and Technology (MEST 2022) International Conference written by Taurista Perdana Syawitri and published by Springer Nature. This book was released on 2023-04-16 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. MEST2022 invites all potential authors from universities and various organisations to submit papers in the area of mechanical, manufacturing, materials sciences and related interdisciplinary engineering fields. This conference is part of a conference program called International Summit on Science Technology and Humanity (ISETH) 2022 Organized by Universitas Muhammadiyah Surakarta. The 6th Mechanical Engineering, Science and Technology (MEST2022) International conference is an annual the Mechanical Department of Universitas Muhammadiyah Surakarta event. All possible writers from universities and other organizations are invited to submit papers. The conference is a forum for academic exchange that provides a prompt presentation of articles on experimental, numerical, and theoretical studies that shed light on the critical topics of mechanical, thermal, fluid, and aerothermodynamics internal flow, heat and mass transfer, multiphase flow, turbulence modelling, combustion, engineering thermodynamics, thermophysical properties of matter, measurement, and visualization techniques. Contributions range from intriguing and significant research immediately applicable to industry development or practice to high-level student textbooks, explanations, distribution of technology, and good practice.

Computational Intelligence and Data Analytics

Author : Rajkumar Buyya
Publisher : Springer Nature
ISBN 13 : 981193391X
Total Pages : 616 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence and Data Analytics by : Rajkumar Buyya

Download or read book Computational Intelligence and Data Analytics written by Rajkumar Buyya and published by Springer Nature. This book was released on 2022-09-01 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.

LPWAN Technologies for IoT and M2M Applications

Author : Bharat S. Chaudhari
Publisher : Academic Press
ISBN 13 : 0128188804
Total Pages : 446 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis LPWAN Technologies for IoT and M2M Applications by : Bharat S. Chaudhari

Download or read book LPWAN Technologies for IoT and M2M Applications written by Bharat S. Chaudhari and published by Academic Press. This book was released on 2020-04-02 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low power wide area network (LPWAN) is a promising solution for long range and low power Internet of Things (IoT) and machine to machine (M2M) communication applications. The LPWANs are resource-constrained networks and have critical requirements for long battery life, extended coverage, high scalability, and low device and deployment costs. There are several design and deployment challenges such as media access control, spectrum management, link optimization and adaptability, energy harvesting, duty cycle restrictions, coexistence and interference, interoperability and heterogeneity, security and privacy, and others. LPWAN Technologies for IoT and M2M Applications is intended to provide a one-stop solution for study of LPWAN technologies as it covers a broad range of topics and multidisciplinary aspects of LPWAN and IoT. Primarily, the book focuses on design requirements and constraints, channel access, spectrum management, coexistence and interference issues, energy efficiency, technology candidates, use cases of different applications in smart city, healthcare, and transportation systems, security issues, hardware/software platforms, challenges, and future directions. One stop guide to the technical details of various low power long range technologies such as LoRaWAN, Sigfox, NB-IoT, LTE-M and others Describes the design aspects, network architectures, security issues and challenges Discusses the performance, interference, coexistence issues and energy optimization techniques Includes LPWAN based intelligent applications in diverse areas such as smart city, traffic management, health and others Presents the different hardware and software platforms for LPWANs Provides guidance on selecting the right technology for an application

Intelligent Mobile Projects with TensorFlow

Author : Jeff Tang
Publisher : Packt Publishing Ltd
ISBN 13 : 1788628802
Total Pages : 396 pages
Book Rating : 4.7/5 (886 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Mobile Projects with TensorFlow by : Jeff Tang

Download or read book Intelligent Mobile Projects with TensorFlow written by Jeff Tang and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book Description As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is for If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.

Device-Edge-Cloud Continuum

Author : Claudio Savaglio
Publisher : Springer Nature
ISBN 13 : 3031421949
Total Pages : 234 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Device-Edge-Cloud Continuum by : Claudio Savaglio

Download or read book Device-Edge-Cloud Continuum written by Claudio Savaglio and published by Springer Nature. This book was released on 2023-12-21 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on both theoretical and practical aspects of the “Device-Edge-Cloud continuum”, a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances to the user and featured by different peculiarities (high responsiveness, high computing power, etc.). The book specifically explores recent advances in paradigms, architectures, models, and applications for the “Device-Edge-Cloud continuum”, which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation.

Machine Learning on Commodity Tiny Devices

Author : Song Guo
Publisher : CRC Press
ISBN 13 : 100078035X
Total Pages : 268 pages
Book Rating : 4.0/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning on Commodity Tiny Devices by : Song Guo

Download or read book Machine Learning on Commodity Tiny Devices written by Song Guo and published by CRC Press. This book was released on 2022-11-24 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of the latest research progress and provides system-level insights on designing TinyML frameworks, including neural network design, training algorithm optimization and domain-specific hardware acceleration. It identifies the main challenges when deploying TinyML tasks in the real world and guides the researchers to deploy a reliable learning system. This volume will be of interest to students and scholars in the field of edge intelligence, especially to those with sufficient professional Edge AI skills. It will also be an excellent guide for researchers to implement high-performance TinyML systems.

Advances in Communication and Applications

Author : N. R. Shetty
Publisher : Springer Nature
ISBN 13 : 9819976332
Total Pages : 584 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Advances in Communication and Applications by : N. R. Shetty

Download or read book Advances in Communication and Applications written by N. R. Shetty and published by Springer Nature. This book was released on 2024-01-06 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) 2023. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. Some of the topics include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

Hardware-Aware Probabilistic Machine Learning Models

Author : Laura Isabel Galindez Olascoaga
Publisher : Springer Nature
ISBN 13 : 3030740420
Total Pages : 163 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Hardware-Aware Probabilistic Machine Learning Models by : Laura Isabel Galindez Olascoaga

Download or read book Hardware-Aware Probabilistic Machine Learning Models written by Laura Isabel Galindez Olascoaga and published by Springer Nature. This book was released on 2021-05-19 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-edge computing in the context of the Internet of Things (IoT) paradigm. Then, it briefly reviews the steps involved in the execution of a machine learning task and identifies the implications associated with implementing this type of workload in resource-constrained devices. The core of this book focuses on augmenting and exploiting the properties of Bayesian Networks and Probabilistic Circuits in order to endow them with hardware-awareness. The proposed models can encode the properties of various device sub-systems that are typically not considered by other resource-aware strategies, bringing about resource-saving opportunities that traditional approaches fail to uncover. The performance of the proposed models and strategies is empirically evaluated for several use cases. All of the considered examples show the potential of attaining significant resource-saving opportunities with minimal accuracy losses at application time. Overall, this book constitutes a novel approach to hardware-algorithm co-optimization that further bridges the fields of Machine Learning and Electrical Engineering.

Internet of Things. Advances in Information and Communication Technology

Author : Deepak Puthal
Publisher : Springer Nature
ISBN 13 : 3031458788
Total Pages : 472 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Internet of Things. Advances in Information and Communication Technology by : Deepak Puthal

Download or read book Internet of Things. Advances in Information and Communication Technology written by Deepak Puthal and published by Springer Nature. This book was released on with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications in Electronics Pervading Industry, Environment and Society

Author : Sergio Saponara
Publisher : Springer Nature
ISBN 13 : 3030954986
Total Pages : 340 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Applications in Electronics Pervading Industry, Environment and Society by : Sergio Saponara

Download or read book Applications in Electronics Pervading Industry, Environment and Society written by Sergio Saponara and published by Springer Nature. This book was released on 2022-04-09 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication and control. The volume is based on the 2021 ApplePies Conference, held online in September 2021, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean and efficient energy; the environment; and smart, green and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor.