Silent Warfare: Understanding the World of Intelligence

Silent Warfare: Understanding the World of Intelligence

Silent Warfare: Understanding the World of Intelligence by Abram N. Shulsky
English | May 1, 2002 | ISBN: 1574883453 | 264 Pages | PDF | 3 MB
A thoroughly updated revision of the first comprehensive overview of intelligence designed for both the student and the general reader, Silent Warfare is an insider's guide to a shadowy, often misunderstood world.
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Inside British Intelligence 100 Years of MI5 and MI6


Inside British Intelligence 100 Years of MI5 and MI6
Gordon Thomas, "Inside British Intelligence: 100 Years of MI5 and MI6"
ISBN: 1906779104, 190753203X | 2009 | EPUB | 320 pages | 4 MB

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Time-Series Prediction and Applications: A Machine Intelligence Approach

Time-Series Prediction and Applications: A Machine Intelligence Approach

English | PDF | 2017 | 255 Pages | ISBN : 3319545965 | 5.08 MB
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Computational Intelligence in Complex Decision Systems

Computational Intelligence in Complex Decision Systems

Computational Intelligence in Complex Decision Systems By Da Ruan
English | PDF | 398 Pages | 2010 | ISBN : 9491216295 | 8.93 MB
In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems.
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The Image of the Enemy Intelligence Analysis of Adversaries since 1945


The Image of the Enemy Intelligence Analysis of Adversaries since 1945

The Image of the Enemy: Intelligence Analysis of Adversaries since 1945 by Paul Maddrell
2015 | ISBN: 1626162395, 1626162387 | English | 312 pages | PDF/EPUB | 1 MB/3 MB

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Abstract Intelligence How to Survive, and Excel, in Digital Reality


Abstract Intelligence How to Survive, and Excel, in Digital Reality

Abstract Intelligence: How to Survive, and Excel, in Digital Reality by Ilexa Yardley
English | 8 Aug. 2017 | ISBN: 1974280993 | ASIN: B074PF2DN1 | 50 Pages | AZW3 | 3.27 MB

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Data Science and Big Data An Environment of Computational Intelligence (Studies in Big Data)


Data Science and Big Data An Environment of Computational Intelligence (Studies in Big Data)

Data Science and Big data: An Environment of Computational Intelligence (Studies in Big Data) by Witold Pedrycz
English | 3 Apr. 2017 | ISBN: 3319534734 | 312 Pages | PDF | 10.45 MB
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.

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Artificial Intelligence Perspectives in Intelligent Systems, Vol 1

Artificial Intelligence Perspectives in Intelligent Systems, Vol 1

Artificial Intelligence Perspectives in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 1 by Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova
English | 2016 | ISBN: 3319336231 | 536 Pages | PDF | 21.1 MB
This volume is based on the research papers presented in the 5th Computer Science On-line Conference.
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Using Your Emotional Intelligence to Develop Others


Using Your Emotional Intelligence to Develop Others

S. Caldwell, L. Gravett, "Using Your Emotional Intelligence to Develop Others"
2017 | ISBN-10: 0230614582 | 192 pages | PDF | 1 MB

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence


Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence By Prof. Dr. Nilanjan Dey, Prof. Dr. Aboul Ella Hassanien, Ph.D. Chintan Bhatt, Dr. Amira S. Ashour, Prof. Suresh Chandra Satapathy
English | PDF | 2017 (2018 Edition) | 545 Pages | ISBN : 3319604341 | 15.37 MB
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.

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