Название: Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 1: Foundations (Studies in Systems, Decision and Control)
Автор: Habib M. Ammari (Editor)
Издательство: Springer
Год: 2019
Формат: True PDF
Страниц: 820
Размер: 22.1 Mb
Язык: English

This book discusses topics in mission-oriented sensor networks and systems research and practice, enabling readers to understand the major technical and application challenges of these networks, with respect to their architectures, protocols, algorithms, and application design. It also presents novel theoretical and practical ideas, which have led to the development of solid foundations for the design, analysis, and implementation of energy-efficient, reliable, and secure mission-oriented sensor network applications. Covering various topics, including sensor node architecture, sensor deployment, mobile coverage, mission assignment, detection, localization, tracking, data dissemination, data fusion, topology control, geometric routing, location privacy, secure communication, and cryptograph, it is a valuable resource for computer scientists, researchers, and practitioners in academia and industry.

Название: Neural Networks with jаvascript Succinctly
Автор: James McCaffrey
Издательство: Syncfusion
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 163
Размер: 10 Mb
Язык: English

James McCaffrey leads you through the fundamental concepts of neural networks, including their architecture, input-output, tanh and softmax activation, back-propagation, error and accuracy, normalization and encoding, and model interpretation. Although most concepts are relatively simple, there are many of them, and they interact with each other in unobvious ways, which is a major challenge of neural networks. But you can learn all important neural network concepts by running and examining the code in Neural Networks with jаvascript Succinctly, with complete example programs for the three major types of neural network problems.

Название: Casting Light on the Dark Web: A Guide for Safe Exploration
Автор: Matthew Beckstrom, Brady Lund
Издательство: Rowman & Littlefield Publishers
Год: 2019
Страниц: 133
Язык: английский
Формат: pdf (true), azw3, epub
Размер: 10.05 MB

Covers topics from what the dark web is, to how it works, to how you can use it, to some of the myths surrounding it. Casting Light on the Dark Web: A Guide for Safe Exploration is an easy-to-read and comprehensive guide to understanding how the Dark Web works and why you should be using it! Readers will be led on a tour of this elusive technology from how to download the platform for personal or public use, to how it can best be utilized for finding information. This guide busts myths and informs readers, while remaining jargon-free and entertaining. Useful for people of all levels of internet knowledge and experience. The book has theoretical aspects (well, kind of - not enough to bore you) and technical aspects (how to install and use the technology), but it focuses primarily on telling you what things are in a simple, approachable manner.

Название: OPNET IoT Simulation
Автор: Min Chen, Yiming Miao, Iztok Humar
Издательство: Springer
Год: 2019
Формат: true pdf/epub
Страниц: 674
Размер: 66.7 Mb
Язык: English

This is the first book offering an in-depth and comprehensive IoT network simulation, supported by OPNET tool. Furthermore, the book presents the simulations of IoT in general, not limited by OPNET. The authors provide rich OPNET IoT simulation codes, with detailed explanation regarding the functionalities of the model. These codes can facilitate readers’ fast implementation, and the shared model can guide readers through developing their own research.

Название: Инсталогия
Автор: Митрошина Александра, Кетова Александра
Издательство: Интернет-издание
Год: 2017
Страниц: 77
Язык: русский
Формат: pdf
Размер: 21.2 MB

Мы не раскрутим ваш Инстаграм. Мы научим вас самих это делать. В то время, когда мы только начинали работать над своими профилями, вокруг практически не было информации о том, как надо это правильно делать. Мы действовали методом проб и ошибок: изучали, экспериментировали, не останавливались, радовались успехам. Мы знаем, как важно иметь перед собой не только цель, но и инструменты к ее достижению. Поэтому мы готовы поделиться с вами всем, что мы узнали. В этом курсе мы расскажем вам методы, которые работают на практике и предостережем от ошибок. Научим всем секретам, которыми владеем сами. Пройдя этот курс, вы будете уметь вести и продвигать свой инстаграм и обязательно наберете большую аудиторию.

Название: AWS Certified Cloud Practitioner Practice Tests 2019: 390 AWS Practice Exam Questions with Answers & detailed Explanations
Автор: Neal Davis
Издательство: Independently published
Год: 2019
Формат: epub/pdf(conv.)
Страниц: 386
Размер: 2 Mb
Язык: English

The AWS Certified Cloud Practitioner certification is extremely valuable in the Cloud Computing industry today and represents knowledge that is a prerequisite for many job roles.
The latest CLF-C01 exam is a foundation level exam that nonetheless includes tricky questions that test your knowledge and experience working with Amazon Web Services. Our practice tests are patterned to reflect the difficulty of the AWS exam and are the closest to the real AWS exam experience available anywhere.

Название: Social Network Analytics: Computational Research Methods and Techniques
Автор: Nilanjan Dey, Samarjeet Borah
Издательство: Academic Press
Год: 2019
Страниц: 276
Язык: английский
Формат: pdf (true)
Размер: 29.6 MB

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more.

Название: Artificial Intelligence for the Internet of Everything
Автор: William Lawless, Ranjeev Mittu
Издательство: Academic Press
Год: 2019
Страниц: 306
Язык: английский
Формат: pdf (true)
Размер: 26.2 MB

Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior.

Название: Social Engineering: Hacking Systems, Nations, and Societies
Автор: Michael Erbschloe
Издательство: CRC Press
Год: 2019
Страниц: 256
Язык: английский
Формат: epub, pdf (conv)
Размер: 20.5 MB

This book analyzes of the use of social engineering as a tool to hack random systems and target specific systems in several dimensions of society. It shows how social engineering techniques are employed well beyond what hackers do to penetrate computer systems. And it explains how organizations and individuals can socially engineer their culture to help minimize the impact of the activities of those who lie, cheat, deceive, and defraud. After reading this book, you'll be able to analyze how organizations work and the need for security to maintain operations and sustainability

Название: Neural Networks and Statistical Learning
Автор: Du K.L., Swamy M.N.S.
Издательство: 2nd. ed. — Springer-Verlag London
Год: 2019
Формат: pdf
Страниц: 955
Для сайта: LitMy.ru
Размер: 12 mb
Язык: английский

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: