Digital forensics in the era of artificial intelligence, Moustafa, Nour
Автор: Peter Norvig Название: Paradigms of Artificial Intelligence Programming, ISBN: 1558601910 ISBN-13(EAN): 9781558601918 Издательство: Elsevier Science Рейтинг: Цена: 9599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.
Автор: Dan Zhang, Bin Wei Название: Novel Design and Applications of Robotics Technologies ISBN: 1522552766 ISBN-13(EAN): 9781522552765 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29938.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39640.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.
Автор: Millington Название: Artificial Intelligence for Games,Third Edition ISBN: 1138483974 ISBN-13(EAN): 9781138483972 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.
In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.
This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
Автор: Bohr, Adam Название: Artificial Intelligence In Healthcare ISBN: 0128184388 ISBN-13(EAN): 9780128184387 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.
This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.
Chapter 1 Model-based Validation of Business Processes: Case Study of Logistic Sector
Firna Muninggar Kistianti, Muharman Lubis, and Asti Amalian Nur Fajrillah,
Chapter 2
COVID-19 Lung Image Classification based on Logistic Regression and Support Vector Machine
Nazish, Syed Irfan Ullah, Abdus Salam, Wajid Ullah, and Muhammad Imad
Chapter 3 Performance Analysis of POX and RYU based on Dijkstra's Algorithm for Software Defined Networking
Naimullah, Syed Irfan Ullah, Arbab Wajid Ullah, Abdus Salam, Muhammad Imad, and Farhat Ullah
Chapter 4
Priority Based Power Delivery System for Electric Vehicle Charging
Noaima Bari, Ahteshamul Haque, Gaurav Ahuja, and V S Bharath Kurukuru
Chapter 5 Clustering Algorithms as a tool for Odour Classifications in E-nose Developments
Yousif Albastaki
Chapter 6 Bidirectional Octonion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition
Shobarani Salvadi, Dr.D.Nagendra Rao, and Dr. Srinivasan Vatsal3,
Chapter 7 E-Learning Acceptance during the Covid-19 Outbreak: A cross-sectional study
Mohammed Habes, Sana Ali, Atiqa Khalid, Hiba Abou Haykal, Mokhtar Elareshi, Tabinda Khan, and Abdulkairm Ziani
Chapter 8 Digital Social Contracts with AI Robots: Some Implications for Amazon.com
Frank T. Lorne and, Mahita Reddy Gogireddy
Chapter 9 Adaptations during COVID-19 and Smart Disease Detection through 'Germica'
Rajkumar Rajasekaran, Dr.Jolly Masih, and Damandeep Kaur
Chapter 10
Facebook advertising in the era of Digital Economy
Sharma Megha, Dangwal Chandra Ramesh, and Masih Jolly
Chapter 11 Life-Saving APP: Snake Classification 'Venomous and Non-Venomous' using fast.ai based on Indian Species
Dr Lakshmi D, Ramesh Chandra Panda, Amrita, and Mr. Abhinav Prakash
Chapter 12 Digital Media Usage among Arab Journalists during Covid-19 Outbreak
Abdul-Karim Ziani1, Mokhtar Elareshi, Mohammed Habes, Khalaf Mohammed Tahat, and Sana Ali
Track 2: Industry 4.0 Management for Sustainable Technologies
Chapter 13 Impact of E-Procurement on Supply Chain Performance
Ali M. Albinkhali
Chapter 14 Predicting Pyramid Geometric Solar Water Still Plant Efficiency using RBF Based Multi-layer Perceptron
Rajeev Raghuvanshi, MD Ilyas, and Surbhi Sharma
Chapter 15
Comparative Analysis of Machine Learning Algorithms for Stock Market Prediction During Covid-19 Outbreak
Jolly Masih, Rajkumar Rajasekaran, Neha Saini and Damandeep Kaur
Chapter 16
Bitcoin Prediction using Ensemble Modelling
Govinda K, Rajkumar R, and Jolly Masih
Chapter 17
Structural Modeling of the Lean Supply Chain Enablers
Hemant Sharma and Nagendra Sohani
Chapter 18
Increasing productivity and quality with IoT technologies in industrial treatment systems
Adem Kayar, Fatih Цztьrk, and Hakan Ceyhan
Chapter 19
Intelligent Community Detection: Comparative Study (Covid19 Dataset)
Jenan Moosa, Wasan Awad, and Tatiana Kalganova
Chapter 20 An Exploration into the Posture of Robo-Advisor Globally
Ismail Canoz
Chapter 21
Автор: Chamundeswari Arumugam, Sanjay Misra, Saraswathi S, Suresh Jaganathan Название: Confluence of AI, Machine, and Deep Learning in Cyber Forensics ISBN: 1799858383 ISBN-13(EAN): 9781799858386 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 22869.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed.
Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11504.00 р. Наличие на складе: Нет в наличии.
Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
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