Электронный каталог

DDC 006.3
A 81

    Artificial intelligence and security challenges in emerging networks / / Ryma Abassi, editor. - Hershey, PA : : Engineering Science Reference,, [2019]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/5FF07013-FD50-48A8-9FED-90B5CBEBB948. - ISBN 9781522573548 (electronic bk.). - ISBN 1522573542 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Artificial intelligence and security challenges in emerging networks. - Hershey, PA : Engineering Science Reference, [2019]. - ISBN 9781522573531
    Содержание:
Artificial Intelligence and Security Challenges in Emerging Networks / Ryma Abassi, University of Carthage, Tunisia -- Network Manipulation Using Network Scanning in SDN / Thangavel M, TCE, Madurai, India, Pavithra V, Thiagarajar College of Engineering, India, Guru Roja R, Thiagarajar College of Engineering, India -- The Usage Analysis of Machine Learning Methods for Intrusion Detection in Software Defined Networks / Derya Yiltas-Kaplan, Istanbul University, Turkey -- Toward Formal verification of SDN Access-Control Misconfigurations / AMINA SAADAOUI, URSN, University of Carthage, SUP'Com, Tunisia -- The Age of Ransomware: Understanding Ransomware and its Countermeasures / Muhammad Kiru, Universiti Sains Malaysia., Malaysia, Aman Jantan, Universiti Sains Malaysia, Malaysia -- A Review of Security Mechanisms for Multi-Agent Systems: Security Challenges in Multi-Agent Systems / Antonio Muñoz, University of Málaga, Spain -- A Survey on Chaos based Encryption Technique / Anandkumar R, Pondicherry Engineering College, India, Kalpana R, Pondicherry Engineering College, India -- High-Reliability Vehicle Detection and Lane Collision Warning System / Yassin Kortli, University of Monastir, Franceá -- Security and Dependability properties system verification, Antonio Muñoz, University of Málaga, Spain.
~РУБ DDC 006.3

Рубрики: Computer networks--Security measures.

   Internet--Security measures.

   Malware (Computer software)

   Artificial intelligence.

   Artificial intelligence.

   Computer networks--Security measures.

   Internet--Security measures.

   Malware (Computer software)

   COMPUTERS / General

Аннотация: "This book explores the recent rise of emerging networking technologies such as social networks, content centric networks, IoT networks, etc. It also examines the applications of artificial intelligence (AI), machine learning, and data mining to security and privacy problems"--

Доп.точки доступа:
Abassi, Ryma, (1980-) \editor.\

DDC 005.133
V 30
Vasilev, Ivan,.
    Python deep learning : : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow / / Ivan Vasilev [and four others]. - Second edition. - Birmingham, UK : : Packt Publishing,, 2019. - 1 online resource (1 volume) : : il. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/5682200B-4F26-4AF6-87E8-D53D703D5883. - ISBN 1789349702. - ISBN 9781789349702 (electronic bk.)
Description based on online resource; title from title page (Safari, viewed February 15, 2019).
Параллельные издания: Print version: :
    Содержание:
Table of ContentsMachine Learning -- An IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision With Convolutional NetworksAdvanced Computer VisionGenerating images with GANs and Variational AutoencodersRecurrent Neural Networks and Language ModelsReinforcement Learning TheoryDeep Reinforcement Learning for GamesDeep Learning in Autonomous Vehicles.
~РУБ DDC 005.133

Рубрики: Python (Computer program language)

   Machine learning.

   Neural networks (Computer science)

   Artificial intelligence.

   Artificial intelligence.

   Machine learning.

   Neural networks (Computer science)

   Python (Computer program language)

DDC 006.3
K 20
Kapoor, Amita.
    HANDS-ON ARTIFICIAL INTELLIGENCE FOR IOT [[electronic resource] :] : expert techniques for developing smarter iot systems ... through machine learning and deep learning with py. / Amita. Kapoor. - [Place of publication not identified], : PACKT Publishing Limited,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B94A773E-2ED1-4C6F-8B4C-CA7B38AA8A86. - ISBN 9781788832762 (electronic bk.). - ISBN 1788832760 (electronic bk.)
Параллельные издания: Print version: :
~РУБ DDC 006.3

Рубрики: Artificial intelligence.

   Machine learning.

   Internet of things.

   Artificial intelligence.

   Internet of things.

   Machine learning.

   COMPUTERS / General

DDC 005.3
H 65
High, Rob,.
    Cognitive Computing with IBM Watson [[electronic resource] /] / Rob High. - 1st edition. - 1788478298. - [Б. м.] : Packt Publishing,, 2019. - 1 online resource (256 pages) ( час. мин.), 1788478298. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/5D176F61-54C5-48F7-88F9-12FB37F41ED5. - ISBN 9781788478984 (electronic bk.). - ISBN 1788478983 (electronic bk.)
Online resource; Title from title page (viewed April 30, 2019).
~РУБ DDC 005.3

Рубрики: Watson (Computer)

   Application software--Development.

   Application program interfaces (Computer software)

   Machine learning.

   Artificial intelligence.

Аннотация: Understand, design, and create cognitive applications using Watson's suite of APIs Key Features Work with IBM Watson APIs to build efficient and powerful cognitive apps Build smart apps to carry out different sets of activities with the help of real-world use cases Get well-versed with the best practices of IBM Watson and implement them in your daily work Book Description Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases. This book introduces you to a whole new paradigm of computing - a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems. Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you'll be able to research and apply cognitive computing in your projects. What you will learn Get well-versed with the APIs provided by IBM Watson on IBM Cloud Understand ML, AI, cognitive computing, and neural network principles Implement smart applications in fields such as healthcare, entertainment, security, and more Explore unstructured data using cognitive metadata with the help of Natural Language Understanding Discover the capabilities of IBM Watson's APIs by using them to create real-life applications Delve into various domains of cognitive computing, such as media analytics, embedded deep learning, computer vision, and more Who this book is for If you're new to cognitive computing, you'll find this book useful. Although not a prerequisite, some knowledge of artificial intelligence and deep learning will be an added advantage. This book covers these concepts using IBM Watson's tools. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Cognitive-Computing-with-IBM-Watson . If you require support please email: customercare@packt.com.

Доп.точки доступа:
Bakshi, Tanmay, \author.\
Safari, an O'Reilly Media Company.

DDC 006.312
S 17
Salcedo, Jesus.
    Machine Learning for Data Mining [[electronic resource] :] : Improve Your Data Mining Capabilities with Advanced Predictive Modeling. / Jesus. Salcedo. - Birmingham : : Packt Publishing, Limited,, 2019. - 1 online resource (247 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DB31EBDC-325D-4F42-81DF-F1B237EA3081. - ISBN 1838821554 (electronic bk.). - ISBN 9781838821555 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Salcedo, Jesus Machine Learning for Data Mining : Improve Your Data Mining Capabilities with Advanced Predictive Modeling. - Birmingham : Packt Publishing, Limited,c2019. - ISBN 9781838828974
~РУБ DDC 006.312

Рубрики: Data mining.

   Machine learning.

   Artificial intelligence.

Аннотация: Most data mining opportunities involve machine learning and often come with greater financial rewards. This book will help you bring the power of machine learning techniques into your data mining work. By the end of the book, you will be able to create accurate predictive models for data mining.

DDC 006.32
D 29
De Marchi, Marchi, Leonardo.
    Hands-on neural networks : : learn how to build and train your first neural network model using Python / / Leonardo De Marchi, Laura Mitchell. - Birmingham, UK : : Packt Publishing,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/1DF618BF-0F92-4263-B417-14EC536EE7B5. - ISBN 1788999886 (electronic bk.). - ISBN 9781788999885 (electronic bk.)
~РУБ DDC 006.32

Рубрики: Neural networks (Computer science)

   Python (Computer program language)

   Artificial intelligence.

   Artificial intelligence.

   Neural networks (Computer science)

   Python (Computer program language)

Аннотация: This book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism.

Доп.точки доступа:
Mitchell, Laura.

DDC 620.00285/63
B 40
Bekdaş, Gebrail.
    Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering / Gebrail. Bekdaş, Nigdeli, Sinan Melih., Yücel, Melda. - Hershey : : IGI Global,, 2019. - 1 online resource (327 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D40641E1-9BF1-4C36-A4FC-3BA75D00E247. - ISBN 179980304X. - ISBN 9781799803041 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Bekdaş, Gebrail. Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering. - Hershey : IGI Global, ©2019. - ISBN 9781799803010
    Содержание:
Title Page; Copyright Page; Book Series; Table of Contents; Detailed Table of Contents; Preface; Chapter 1: Review and Applications of Machine Learning and Artificial Intelligence in Engineering; Chapter 2: Artificial Neural Networks (ANNs) and Solution of Civil Engineering Problems; Chapter 3: A Novel Prediction Perspective to the Bending Over Sheave Fatigue Lifetime of Steel Wire Ropes by Means of Artificial Neural Networks; Chapter 4: Introduction and Application Aspects of Machine Learning for Model Reference Adaptive Control With Polynomial Neurons
Chapter 5: Optimum Design of Carbon Fiber-Reinforced Polymer (CFRP) Beams for Shear Capacity via Machine Learning MethodsChapter 6: A Scientometric Analysis and a Review on Current Literature of Computer Vision Applications; Chapter 7: High Performance Concrete (HPC) Compressive Strength Prediction With Advanced Machine Learning Methods; Chapter 8: Artificial Intelligence Towards Water Conservation; Chapter 9: Analysis of Ground Water Quality Using Statistical Techniques; Chapter 10: Probe People and Vehicle-Based Data Sources Application in Smart Transportation
Chapter 11: Application of Machine Learning Methods for Passenger Demand Prediction in Transfer Stations of Istanbul's Public Transportation SystemChapter 12: Metaheuristics Approaches to Solve the Employee Bus Routing Problem With Clustering-Based Bus Stop Selection; Chapter 13: An Assessment of Imbalanced Control Chart Pattern Recognition by Artificial Neural Networks; Chapter 14: An Exploration of Machine Learning Methods for Biometric Identification Based on Keystroke Dynamics; Compilation of References; About the Contributors; Index
~РУБ DDC 620.00285/63

Рубрики: Artificial intelligence.

   Civil engineering--Data processing.

   Machine learning.

   Mechanical engineering--Data processing.

   Industrial engineering--Data processing.

Аннотация: In today's developing world, industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these recent methods are being applied within the engineering field and what effective solutions they are providing. Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering is a collection of innovative research on the methods and implementation of machine learning and AI.

Доп.точки доступа:
Nigdeli, Sinan Melih.
Yücel, Melda.

DDC 006.8
A 95

    Avatar-based control, estimation, communications, and development of neuron multi-functional technology platforms / / Vardan Mkrttchian, Ekaterina Aleshina, Leyla Gamidullaeva (editors). - Hershey, PA : : Engineering Science Reference (an imprint of IGI Global),, [2020]. - 1 online resource (xxvii, 355 pages). : il. - (Advances in computational intelligence and robotics (ACIR) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C9B64DC7-3986-4E3E-9C81-71111D10E9A6. - ISBN 1799815838 (electronic book). - ISBN 9781799815839 (electronic bk.)
Description based on online resource; title from digital title page (viewed on December 20, 2019).
Параллельные издания: Print version: : Avatar-based control, estimation, communications, and development of neuron multi-functional technology platforms. - Hershey, PA : Engineering Science Reference, [2020]. - ISBN 9781799815815
~РУБ DDC 006.8

Рубрики: Avatars (Virtual reality)

   Artificial intelligence.

   Information technology--Social aspects.

   Shared virtual environments.

   Artificial intelligence.

   Avatars (Virtual reality)

   Information technology--Social aspects.

   Shared virtual environments.

Аннотация: "This book presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications"--

Доп.точки доступа:
Mkrttchian, Vardan, (1950-) \editor.\
Aleshina, Ekaterina, (1978-) \editor.\
Gamidullaeva, Leyla, (1985-) \editor.\

DDC 794.81631
L 24
Lanham, Micheal,.
    Hands-on reinforcement learning for games : : implementing self-learning agents in games using artificial intelligence techniques / / Micheal Lanham. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/794FA818-3BC4-4505-8A70-925376C4C725. - ISBN 9781839216770. - ISBN 1839216778
Description based on online resource; title from title page (Safari, viewed June 17, 2020).
Параллельные издания: Print version: : Lanham, Micheal. Hands-On Reinforcement Learning for Games : Implementing Self-Learning Agents in Games Using Artificial Intelligence Techniques. - Birmingham : Packt Publishing, Limited, ©2020. - ISBN 9781839214936
~РУБ DDC 794.81631

Рубрики: Machine learning.

   Artificial intelligence.

   Reinforcement learning.

   Computer games--Programming.

   Application software--Development.

   Computer games--Programming.

Аннотация: The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a ...

DDC 005.7
A 22

    Advanced deep learning applications in big data analytics / / Hadj Ahmed Bouarara. - Hershey, PA : : Engineering Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource. - (Advances in data mining and database management (ADMDM) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D71A6EE5-41D1-4E43-ADBB-209C649D2B2B. - ISBN 1799827933 (electronic book). - ISBN 9781799827931 (electronic bk.)
Description based on online resource; title from digital title page (viewed on December 07, 2020).
Параллельные издания: Print version: : Advanced deep learning applications in big data analytics. - Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]. - ISBN 9781799827917
    Содержание:
Chapter 1. Advanced deep learning applications in big data analytics: introduction of Internet of things -- Chapter 2. Big data and cloud computing: a technological and literary background -- Chapter 3. Challenges and applications of data analytics in social perspectives: introduction of data science -- Chapter 4. Deep learning for social media text analytics -- Chapter 5. Deeplearning for computer vision problems: litterature review -- Chapter 6. Introduction of big data with analytics of big data -- Chapter 7. Machine learning in sentiment analysis over twitter: synthesis and comparative study -- Chapter 8. Machine learning techniques in spam detection -- Chapter 9. On swarm intelligence and its integration with Internet of things: challenges and applications -- Chapter 10. Physical characteristics of type 1 and 2 diabetic subjects: NCR, Indian-based computational perspective -- Chapter 11. Research information: bio-inspiration in information retrieval -- Chapter 12. Study on South Asian diabetic subjects on different attributes: a statistical approach.
~РУБ DDC 005.7

Рубрики: Big data.

   Artificial intelligence.

   Machine learning.

   Artificial intelligence.

   Big data.

   Machine learning.

Аннотация: "This book explores the developing and application of deep learning in big data"--

Доп.точки доступа:
Bouarara, Hadj Ahmed, (1990-) \editor.\