A Beginner s Guide to Data Agglomeration and Intelligent Sensing

A Beginner s Guide to Data Agglomeration and Intelligent Sensing
Author: Amartya Mukherjee,Ayan Kumar Panja,Nilanjan Dey
Publsiher: Academic Press
Total Pages: 198
Release: 2020-02-19
ISBN 10: 0128203455
ISBN 13: 9780128203453
Language: EN, FR, DE, ES & NL

A Beginner s Guide to Data Agglomeration and Intelligent Sensing Book Review:

A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensing Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning

A Beginner s Guide to Data Agglomeration and Intelligent Sensing

A Beginner s Guide to Data Agglomeration and Intelligent Sensing
Author: Amartya Mukherjee,Ayan Kumar Panja,Nilanjan Dey
Publsiher: Academic Press
Total Pages: 198
Release: 2020-03-02
ISBN 10: 0128203412
ISBN 13: 9780128203415
Language: EN, FR, DE, ES & NL

A Beginner s Guide to Data Agglomeration and Intelligent Sensing Book Review:

A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensing Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning

Biomedical Sensors and Smart Sensing

Biomedical Sensors and Smart Sensing
Author: Ayan Kumar Panja,Amartya Mukherjee,Nilanjan Dey
Publsiher: Academic Press
Total Pages: 166
Release: 2022-06-14
ISBN 10: 0128230738
ISBN 13: 9780128230732
Language: EN, FR, DE, ES & NL

Biomedical Sensors and Smart Sensing Book Review:

Biomedical Sensors and Smart Sensing: A Beginner’s Guide, a book in the 10-volume Primers in Biomedical Imaging Devices and Systems series, covers a wide range of interdisciplinary applications in imaging modalities, nuclear medicine, computed tomographic systems, x-ray systems, magnetic resonance imaging, ultrasound, and virtual reality. The series explores the essential fundamental techniques required to analyze and process signals and images for diagnosis, scientific discovery and medical applications. Volumes in this series cover a wide range of interdisciplinary areas, combining foundational content with practical case studies to demonstrate the applications of these technologies in real-world situations. In addition, the 10-volume series considers various medical devices, electronics, circuits, sensors and algorithms. Several applications ranging from basic biological science to clinical practice are included to facilitate ongoing research. Covers a variety of sensing and signal processing techniques Introduces different approaches relating to communication and intelligent data processing for early detection and prediction of diseases Includes practical case studies

The Data Science Design Manual

The Data Science Design Manual
Author: Steven S. Skiena
Publsiher: Springer
Total Pages: 445
Release: 2017-07-01
ISBN 10: 3319554441
ISBN 13: 9783319554440
Language: EN, FR, DE, ES & NL

The Data Science Design Manual Book Review:

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

The Data Industry

The Data Industry
Author: Chunlei Tang
Publsiher: John Wiley & Sons
Total Pages: 216
Release: 2016-06-13
ISBN 10: 111913840X
ISBN 13: 9781119138402
Language: EN, FR, DE, ES & NL

The Data Industry Book Review:

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

Recent Advances in Technology Research and Education

Recent Advances in Technology Research and Education
Author: Dumitru Luca,Lucel Sirghi,Claudiu Costin
Publsiher: Springer
Total Pages: 352
Release: 2017-09-08
ISBN 10: 3319674595
ISBN 13: 9783319674599
Language: EN, FR, DE, ES & NL

Recent Advances in Technology Research and Education Book Review:

This book presents selected contributions to the 16th International Conference on Global Research and Education Inter-Academia 2017 hosted by Alexandru Ioan Cuza University of Iași, Romania from 25 to 28 September 2017. It is the third volume in the series, following the editions from 2015 and 2016. Fundamental and applied research in natural sciences have led to crucial developments in the ongoing 4th global industrial revolution, in the course of which information technology has become deeply embedded in industrial management, research and innovation – and just as deeply in education and everyday life. Materials science and nanotechnology, plasma and solid state physics, photonics, electrical and electronic engineering, robotics and metrology, signal processing, e-learning, intelligent and soft computing have long since been central research priorities for the Inter-Academia Community (I-AC) – a body comprising 14 universities and research institutes from Japan and Central/East-European countries that agreed, in 2002, to coordinate their research and education programs so as to better address today’s challenges. The book is intended for use in academic, government, and industrial R&D departments as a reference tool in research and technology education. The 42 peer-reviewed papers were written by more than 119 leading scientists from 14 countries, most of them affiliated to the I-AC.

Automated Machine Learning

Automated Machine Learning
Author: Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
Publsiher: Springer
Total Pages: 219
Release: 2019-05-17
ISBN 10: 3030053180
ISBN 13: 9783030053185
Language: EN, FR, DE, ES & NL

Automated Machine Learning Book Review:

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Mining the Social Web

Mining the Social Web
Author: Matthew A. Russell,Matthew Russell
Publsiher: "O'Reilly Media, Inc."
Total Pages: 332
Release: 2011-01-21
ISBN 10: 1449388345
ISBN 13: 9781449388348
Language: EN, FR, DE, ES & NL

Mining the Social Web Book Review:

Provides information on data analysis from a vareity of social networking sites, including Facebook, Twitter, and LinkedIn.

Machine Learning Algorithms

Machine Learning Algorithms
Author: Giuseppe Bonaccorso
Publsiher: Packt Publishing Ltd
Total Pages: 360
Release: 2017-07-24
ISBN 10: 1785884514
ISBN 13: 9781785884511
Language: EN, FR, DE, ES & NL

Machine Learning Algorithms Book Review:

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here. What You Will Learn Acquaint yourself with important elements of Machine Learning Understand the feature selection and feature engineering process Assess performance and error trade-offs for Linear Regression Build a data model and understand how it works by using different types of algorithm Learn to tune the parameters of Support Vector machines Implement clusters to a dataset Explore the concept of Natural Processing Language and Recommendation Systems Create a ML architecture from scratch. In Detail As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously. On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem. Style and approach An easy-to-follow, step-by-step guide that will help you get to grips with real -world applications of Algorithms for Machine Learning.

Computational Intelligence and Predictive Analysis for Medical Science

Computational Intelligence and Predictive Analysis for Medical Science
Author: Poonam Tanwar,Praveen Kumar,Seema Rawat,Masoud Mohammadian,Saif Ahmad
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 333
Release: 2021-11-08
ISBN 10: 3110715341
ISBN 13: 9783110715347
Language: EN, FR, DE, ES & NL

Computational Intelligence and Predictive Analysis for Medical Science Book Review:

This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline.

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
Author: MIT Critical Data
Publsiher: Springer
Total Pages: 427
Release: 2016-09-09
ISBN 10: 3319437429
ISBN 13: 9783319437422
Language: EN, FR, DE, ES & NL

Secondary Analysis of Electronic Health Records Book Review:

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Food Processing Technology

Food Processing Technology
Author: P.J. Fellows
Publsiher: CRC Press
Total Pages: 928
Release: 2009-07-28
ISBN 10: 9781439808214
ISBN 13: 143980821X
Language: EN, FR, DE, ES & NL

Food Processing Technology Book Review:

Widely regarded as a standard work in its field, this book introduces the range of processing techniques that are used in food manufacturing. It explains the principles of each process, the processing equipment used, operating conditions and the effects of processing on micro-organisms that contaminate foods, the biochemical properties of foods and their sensory and nutritional qualities. The book begins with an overview of important basic concepts. It describes unit operations that take place at ambient temperature or involve minimum heating of foods. Subsequent chapters examine operations that heat foods to preserve them or alter their eating quality, and explore operations that remove heat from foods to extend their shelf life with minimal changes in nutritional quality or sensory characteristics. Finally, the book reviews post-processing operations, including packaging and distribution logistics. The third edition has been substantially rewritten, updated and extended to include the many developments in food technology that have taken place since the second edition was published in 2000. Nearly all unit operations have undergone significant developments, and these are reflected in the large amount of additional material in each chapter. In particular, advances in microprocessor control of equipment, ‘minimal’ processing technologies, genetic modification of foods, functional foods, developments in ‘active’ or ‘intelligent’ packaging, and storage and distribution logistics are described. Developments in technologies that relate to cost savings, environmental improvement or enhanced product quality are highlighted. Additionally, sections in each chapter on the impact of processing on food-borne micro-organisms are included for the first time.

Advances in Artificial Intelligence Software and Systems Engineering

Advances in Artificial Intelligence  Software and Systems Engineering
Author: Tareq Ahram
Publsiher: Springer Nature
Total Pages: 615
Release: 2020-07-03
ISBN 10: 3030513289
ISBN 13: 9783030513283
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Software and Systems Engineering Book Review:

This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Based on the AHFE 2020 Virtual Conference on Software and Systems Engineering, and the AHFE 2020 Virtual Conference on Artificial Intelligence and Social Computing, held on July 16–20, 2020, it provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.

Basics of Geomatics

Basics of Geomatics
Author: Mario A. Gomarasca
Publsiher: Springer Science & Business Media
Total Pages: 656
Release: 2009-09-18
ISBN 10: 9781402090141
ISBN 13: 1402090145
Language: EN, FR, DE, ES & NL

Basics of Geomatics Book Review:

Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted. It includes several disciplines and te- niques for the study of the Earth’s surface and its environments, and computer science plays a decisive role. A more meaningful and appropriate expression is G- spatial Information or GeoInformation. Geo-spatial Information embeds topography in its more modern forms (measurements with electronic instrumentation, sophisticated techniques of data analysis and network compensation, global satellite positioning techniques, laser scanning, etc.), analytical and digital photogrammetry, satellite and airborne remote sensing, numerical cartography, geographical information systems, decision support systems, WebGIS, etc. These specialized elds are intimately interrelated in terms of both the basic science and the results pursued: rigid separation does not allow us to discover several common aspects and the fundamental importance assumed in a search for solutions in the complex survey context. The objective pursued by Mario A. Gomarasca, one that is only apparently modest, is to publish an integrated text on the surveying theme, containing simple and comprehensible concepts relevant to experts in Geo-spatial Information and/or speci cally in one of the disciplines that compose it. At the same time, the book is rigorous and synthetic, describing with precision the main instruments and methods connected to the multiple techniques available today.

Machine Learning and Data Mining

Machine Learning and Data Mining
Author: Igor Kononenko,Matjaz Kukar
Publsiher: Horwood Publishing
Total Pages: 454
Release: 2007-05-14
ISBN 10: 9781904275213
ISBN 13: 1904275214
Language: EN, FR, DE, ES & NL

Machine Learning and Data Mining Book Review:

Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of computer science and technology, as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to libraries and bookshelves of the many companies who are using the principles of data mining to effectively deliver solid business and industry solutions.

Industries Without Smokestacks

Industries Without Smokestacks
Author: Richard S. Newfarmer,John Page,Finn Tarp
Publsiher: Oxford University Press
Total Pages: 451
Release: 2018
ISBN 10: 0198821883
ISBN 13: 9780198821885
Language: EN, FR, DE, ES & NL

Industries Without Smokestacks Book Review:

A study prepared by the United Nations University World Institute for Development Economics Research (UNU-WIDER)

Smart Sensor Systems

Smart Sensor Systems
Author: Gerard Meijer,Kofi Makinwa,Michiel Pertijs
Publsiher: John Wiley & Sons
Total Pages: 296
Release: 2014-04-02
ISBN 10: 1118703170
ISBN 13: 9781118703175
Language: EN, FR, DE, ES & NL

Smart Sensor Systems Book Review:

With contributions from an internationally-renowned group ofexperts, this book uses a multidisciplinary approach to reviewrecent developments in the field of smart sensor systems, coveringimportant system and design aspects. It examines topics overthe whole range of sensor technology from the theory andconstraints of basic elements, physics and electronics, up to thelevel of application-orientated issues. Developed as a complementary volume to ‘Smart SensorSystems’ (Wiley 2008), which introduces the basics of smartsensor systems, this volume focuses on emerging sensingtechnologies and applications, including: State-of-the-art techniques for designing smart sensors andsmart sensor systems, including measurement techniques at systemlevel, such as dynamic error correction, calibration,self-calibration and trimming. Circuit design for sensor systems, such as the design ofprecision instrumentation amplifiers. Impedance sensors, and the associated measurement techniquesand electronics, that measure electrical characteristics to derivephysical and biomedical parameters, such as blood viscosity orgrowth of micro-organisms. Complete sensor systems-on-a-chip, such as CMOS optical imagersand microarrays for DNA detection, and the associated circuit andmicro-fabrication techniques. Vibratory gyroscopes and the associated electronics, employingmechanical and electrical signal amplification to enable low-powerangular-rate sensing. Implantable smart sensors for neural interfacing in bio-medicalapplications. Smart combinations of energy harvesters and energy-storagedevices for autonomous wireless sensors. Smart Sensor Systems: Emerging Technologies and Applicationswill greatly benefit final-year undergraduate and postgraduatestudents in the areas of electrical, mechanical and chemicalengineering, and physics. Professional engineers and researchers inthe microelectronics industry, including microsystem developers,will also find this a thorough and useful volume.

Intelligent Cities and Globalisation of Innovation Networks

Intelligent Cities and Globalisation of Innovation Networks
Author: Nicos Komninos
Publsiher: Routledge
Total Pages: 320
Release: 2008-07-17
ISBN 10: 1134049811
ISBN 13: 9781134049813
Language: EN, FR, DE, ES & NL

Intelligent Cities and Globalisation of Innovation Networks Book Review:

Intelligent Cities and Globalisation of Innovation Networks combines concepts and theories from the fields of urban development and planning, innovation management, and virtual / intelligent environments. It explains the rise of intelligent cities with respect to the globalisation of systems of innovation; opens up a new way for making intelligent environments via the connection of human skills, institutional mechanisms, and digital spaces operating within a community; and describes a series of platforms and tools for the making of intelligent cities.

Industry 4 0 and Regional Transformations

Industry 4 0 and Regional Transformations
Author: Lisa De Propris,David Bailey
Publsiher: Routledge
Total Pages: 258
Release: 2020-04-30
ISBN 10: 0429603584
ISBN 13: 9780429603587
Language: EN, FR, DE, ES & NL

Industry 4 0 and Regional Transformations Book Review:

This edited volume brings together a group of expert contributors to explorebthe opportunities and the challenges that Industry 4.0 (smart manufacturing) is likely to pose for regions, fi rms and jobs in Europe. Drawing on theory and empirical cases, it considers emerging issues like servitization, new innovation models for local production systems and the increase in reshoring. Industry 4.0 and Regional Transformations captures the complexity of this new manufacturing model in an accessible way and considers its implications for the future. It will be essential reading for advanced students and researchers and policy makers in regional studies, industrial policy, economic geography, innovation studies, operations management and engineering.

Big Data BigData 2018

Big Data     BigData 2018
Author: Francis Y. L. Chin,C. L. Philip Chen,Latifur Khan,Kisung Lee,Liang-Jie Zhang
Publsiher: Springer
Total Pages: 382
Release: 2018-06-20
ISBN 10: 3319943014
ISBN 13: 9783319943015
Language: EN, FR, DE, ES & NL

Big Data BigData 2018 Book Review:

This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.