Computing, Analytics and Networks


Computing, Analytics and Networks

Computing, Analytics and Networks: First International Conference, ICAN 2017, Chandigarh, India, October 27-28, 2017, Revised Selected Papers by Rajnish Sharma
English | PDF | 2018 | 222 Pages | ISBN : 9811307547 | 35.02 MB
This book constitutes the revised selected papers from the First International Conference on Computing, Analytics and Networks, ICAN 2017, held in Rajpura, India, in October 2017.

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Peer to Peer Accommodation Networks


Peer to Peer Accommodation Networks

Peer to Peer Accommodation Networks: An Examination
Goodfellow | English | 2018 | ISBN-10: 1911396528 | 256 pages | PDF | 16.41 MB
by Sara Dolnicar (Author)

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Practical Contiki-NG Programming for Wireless Sensor Networks


Practical Contiki-NG Programming for Wireless Sensor Networks

Practical Contiki-NG: Programming for Wireless Sensor Networks by Agus Kurniawan
English | EPUB | 2018 | 304 Pages | ISBN : 1484234073 | 15.87 MB
Explore how to develop and implement wireless server networks (WSN) using Contiki-NG, branded as the operating system for the IoT. The book explains Contiki-NG's advantages in sensing, communication, and energy optimization and enables you to begin solving problems in automation with WSN.

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Analyzing Social Networks

Analyzing Social Networks

Analyzing Social Networks by Stephen P Borgatti
English | 2 Feb. 2018 | ISBN: 1526404109, 1526404095 | 384 Pages | EPUB | 9.59 MB
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Cognitive Radio Oriented Wireless Networks

Cognitive Radio Oriented Wireless Networks

Mark Weichold, Mounir Hamdi, Muhammad Zeeshan Shakir, "Cognitive Radio Oriented Wireless Networks"
2015 | pages: 808 | ISBN: 3319245392 | PDF | 37,0 mb
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Evolutionary Algorithms and Neural Networks: Theory and Applications

Evolutionary Algorithms and Neural Networks: Theory and Applications

Evolutionary Algorithms and Neural Networks: Theory and Applications by Seyedali Mirjalili
English | PDF,EPUB | 2018 (2019 Edition) | 164 Pages | ISBN : 3319930249 | 12.28 MB
This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.
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Neural Networks and Deep Learning Neural Networks & Deep Learning, Deep Learning, Big Data


Neural Networks and Deep Learning Neural Networks & Deep Learning, Deep Learning, Big Data

Neural Networks and Deep Learning: Neural Networks & Deep Learning, Deep Learning, Big Data by Pat Nakamoto
English | 24 Jun. 2018 | ASIN: B07F12Q94H | 217 Pages | EPUB | 2.13 MB

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Deep Learning with Keras Implementing deep learning models and neural networks with the power of Python


Deep Learning with Keras Implementing deep learning models and neural networks with the power of Python

Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python by Antonio Gulli
English | 26 Apr. 2017 | ISBN: 1787128423 | 318 Pages | MOBI | 83.36 MB

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Ad Hoc Networks

Ad Hoc Networks

Nathalie Mitton, Melike Erol Kantarci, Antoine Gallais, "Ad Hoc Networks"
2015 | pages: 266 | ISBN: 3319250663 | PDF | 17,0 mb
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Bayesian Networks in Educational Assessment

Bayesian Networks in Educational Assessment

Bayesian Networks in Educational Assessment by Russell G. Almond
English | EPUB | 2015 | 678 Pages | ISBN : 149392124X | 6.45 MB
Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments.
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