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A Beginner s Guide to Data Agglomeration and Intelligent Sensing

A Beginner s Guide to Data Agglomeration and Intelligent Sensing
  • Author : Amartya Mukherjee
  • Publsiher : Academic Press
  • Release : 02 March 2020
  • ISBN : 0128203412
  • Pages : 198 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKA Beginner s Guide to Data Agglomeration and Intelligent Sensing

Summary:
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
  • Publisher : Academic Press
  • Release : 02 March 2020
GET THIS BOOKA Beginner's Guide to Data Agglomeration and Intelligent Sensing

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

Book A Beginner's Guide to Data Agglomeration and Intelligent Sensing PDF Download/ Read Online


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
  • Publisher : Academic Press
  • Release : 19 February 2020
GET THIS BOOKA Beginner's Guide to Data Agglomeration and Intelligent Sensing

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

Book A Beginner's Guide to Data Agglomeration and Intelligent Sensing PDF Download/ Read Online


The Data Science Design Manual

The Data Science Design Manual
  • Author : Steven S. Skiena
  • Publisher : Springer
  • Release : 01 July 2017
GET THIS BOOKThe Data Science Design Manual

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

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The Data Industry

The Data Industry
  • Author : Chunlei Tang
  • Publisher : John Wiley & Sons
  • Release : 13 June 2016
GET THIS BOOKThe Data Industry

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

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Automated Machine Learning

Automated Machine Learning
  • Author : Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
  • Publisher : Springer
  • Release : 17 May 2019
GET THIS BOOKAutomated Machine Learning

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

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Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning
  • Author : Sebastian Raschka,David Julian,John Hearty
  • Publisher : Packt Publishing Ltd
  • Release : 31 August 2016
GET THIS BOOKPython: Deeper Insights into Machine Learning

Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies. Develop a strategy to deal with a large amount of data. Use of Python code for implementing a range of machine learning algorithms and techniques. Who This Book Is For This title is for data scientist and researchers who are already into the field of data science and want to see machine learning in action and explore its real-world application.

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Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
  • Author : MIT Critical Data
  • Publisher : Springer
  • Release : 09 September 2016
GET THIS BOOKSecondary Analysis of Electronic Health Records

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

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Perspectives and Trends in Education and Technology

Perspectives and Trends in Education and Technology
  • Author : Anabela Mesquita,António Abreu,João Vidal Carvalho
  • Publisher : Springer Nature
  • Release : 17 November 2021
GET THIS BOOKPerspectives and Trends in Education and Technology

This book presents high-quality, peer-reviewed papers from the International Conference in Information Technology & Education (ICITED 2021), to be held at the ESPM – Higher School of Advertising and Marketing, Sao Paulo, Brazil, between the 15th and the 17th of July 2021. The book covers a specific field of knowledge. This intends to cover not only two fields of knowledge – Education and Technology – but also the interaction among them and the impact/result in the job market and organizations. It covers the research and

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Machine Learning and Data Mining

Machine Learning and Data Mining
  • Author : Igor Kononenko,Matjaz Kukar
  • Publisher : Horwood Publishing
  • Release : 14 May 2007
GET THIS BOOKMachine Learning and Data Mining

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

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Machine Learning Algorithms

Machine Learning Algorithms
  • Author : Giuseppe Bonaccorso
  • Publisher : Packt Publishing Ltd
  • Release : 24 July 2017
GET THIS BOOKMachine Learning Algorithms

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

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Food Processing Technology

Food Processing Technology
  • Author : P.J. Fellows
  • Publisher : CRC Press
  • Release : 28 July 2009
GET THIS BOOKFood Processing Technology

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

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Intelligent Cities and Globalisation of Innovation Networks

Intelligent Cities and Globalisation of Innovation Networks
  • Author : Nicos Komninos
  • Publisher : Routledge
  • Release : 17 July 2008
GET THIS BOOKIntelligent Cities and Globalisation of Innovation Networks

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.

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Smart Sensor Systems

Smart Sensor Systems
  • Author : Gerard Meijer,Kofi Makinwa,Michiel Pertijs
  • Publisher : John Wiley & Sons
  • Release : 02 April 2014
GET THIS BOOKSmart Sensor Systems

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

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