Academic Press 第9页

Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan
Author: Goran Trajkovski,Marylee Demeter,Heather Hayes (Editor)
Publisher Finelybook 出版社: Information Science Reference (May 6, 2022)
Language 语言: English
pages 页数: 330 pages
ISBN-10 书号: 1799896447
ISBN-13 书号: 9781799896449

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Book Description
Available at a lower price from other sellers that may not offer free Prime shipping.
Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process Author: using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

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Regulatory Aspects of Artificial Intelligence on Blockchain (Advances in Computational Intelligence and Robotics)
Author: Pardis Moslemzadeh Tehrani
Publisher Finelybook 出版社: Engineering Science Reference (September 24, 2021)
Language 语言: English
pages 页数: 273 pages
ISBN-10 书号: 1799879275
ISBN-13 书号: 9781799879275

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Book Description
The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.

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Regulatory Aspects of Artificial Intelligence on Blockchain 9781799879275.zip

Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic
Author: Ryma Abassi and Aida Ben Chehida Douss
Publisher Finelybook 出版社: Information Science Reference (April 15, 2022)
Language 语言: English
pages 页数: 304 pages
ISBN-10 书号: 179989164X
ISBN-13 书号: 9781799891642

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Book Description
The COVID-19 pandemic has forced organizations and individuals to embrace new practices such as social distancing and remote working. During these unprecedented times, many have increasingly relied on the internet for work, shopping, and healthcare. However, while the world focuses on the health and economic threats posed Author: the COVID-19 pandemic, cyber criminals are capitalizing on this crisis as the world has become more digitally dependent and vulnerable than ever. Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic provides cutting-edge research on the best guidelines for preventing, detecting, and responding to cyber threats within educational, business, health, and governmental organizations during the COVID-19 pandemic. It further highlights the importance of focusing on cybersecurity within organizational crisis management. Covering topics such as privacy and healthcare, remote work, and personal health data, this premier reference source is an indispensable resource for startup companies, health and business executives, ICT procurement managers, IT professionals, libraries, students and educators of higher education, entrepreneurs, government officials, social media experts, researchers, and academicians.

Utilizing Blockchain Technologies in Manufacturing and Logistics Management (Advances in Business Information Systems and Analytics)
Author: S. B. Goyal,Nijalingappa Pradeep,Piyush Kumar Shukla,Mangesh M. Ghonge,Renjith V. Ravi (Editor)
Publisher Finelybook 出版社: Business Science Reference (January 21, 2022)
Language 语言: English
pages 页数: 315 pages
ISBN-10 书号: 1799886972
ISBN-13 书号: 9781799886976

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Book Description
Blockchain technology has the potential to utterly transform supply chains, streamline processes, and improve the whole of security. Manufacturers across the globe face challenges with forecasting demand, controlling inventory, and accelerating digital transformation to cater to the challenges of changing market dynamics and evolving customer expectations. Hence, blockchain should be seen as an investment in future-readiness and customer-centricity, not as an experimental technology. Utilizing Blockchain Technologies in Manufacturing and Logistics Management explores the strengths of blockchain adaptation in manufacturing industries and logistics management, which include product traceability, supply chain transparency, compliance monitoring, and auditability, and also examines the current open issues and future research trends of blockchain. Leveraging blockchain technology into a manufacturing enterprise can enhance its security and reduce the rates of systematic failures. Covering topics such as fraud detection, Industry 4.0, and security threats, this book is a ready premier reference for graduate and post-graduate students, academicians, researchers, industrialists, consultants, and entrepreneurs, as well as micro, small, and medium enterprises.

Machine Learning: A Bayesian and Optimization Perspective 2nd Edition
by 作者: Sergios Theodoridis
Pages: 1160 pages
Publisher Finelybook 出版社: Academic Press; 2 edition (April 3,2020)
Language 语言: English
ISBN-10 书号: 0128188030
ISBN-13 书号: 9780128188033

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Book Description
About the book
Machine Learning: A Bayesian and Optimization Perspective,Second Edition,gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches based on optimization techniques combined with the Bayesian inference approach. The book builds from the basic classical methods to recent trends,making it suitable for different courses,including pattern recognition,statistical/adaptive signal processing,and statistical/Bayesian learning,as well as short courses on sparse modeling,deep learning,and probabilistic graphical models. In addition,sections cover major machine learning methods developed in different disciplines,such as statistics,statistical and adaptive signal processing and computer science.
Focusing on the physical reasoning behind the mathematics,all the various methods and techniques are explained in depth and supported by examples and problems,giving an invaluable resource to both the student and researcher for understanding and applying machine learning concepts.
This updated edition includes many more simple examples on basic theory,complete rewrites of the chapter on Neural Networks and Deep Learning,and expanded treatment of Bayesian learning,including Nonparametric Bayesian Learning.

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Key Features
Presents the physical reasoning,mathematical modeling and algorithmic implementation of each method
Updates on the latest trends,including sparsity,convex analysis and optimization,online distributed algorithms,learning in RKH spaces,Bayesian inference,graphical and hidden Markov models,particle filtering,deep learning,dictionary learning and latent variables modeling
Provides case studies on a variety of topics,including protein folding prediction,optical character recognition,text authorship identification,fMRI data analysis,change point detection,hyperspectral image unmixing,target localization,and more
Contents

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About the Author
Preface
Acknowledgments
Notation
Chapter 1-Introduction
Chapter 2-Probability and Stochastic Processes
Chapter 3-Learning in Parametric Modeling Basic Concepts and Directions
Chapter 4-Mean-Square Error Linear Estimation
Chapter 5-Online Learning the Stochastic Gradient Descent Family of Algorithms
Chapter 6-The Least-Squares Family
Chapter 7-Classification a Tour of the Classics
Chapter 8-Parameter Learning a Convex Analytic Path
Chapter 9-Sparsity-Aware Learning Concepts and Theoretical Foundations
Chapter 10-Sparsity-Aware Learning Algorithms and Applications
Chapter 11-Learning in Reproducing Kernel Hilbert Spaces
Chapter 12-Bayesian Learning Inference and the EM Algorithm
Chapter 13-Bayesian Learning Approximate Inference and Nonparametric Models
Chapter 14-Monte Carlo Methods
Chapter 15-Probabilistic Graphical Models PartI
Chapter 16-Probabilistic Graphical Models Part ll
Chapter 17-Particle Filtering
Chapter 18-Neural Networks and Deep Learning
Chapter 19-Dimensionality Reduction and Latent Variable Modeling

Introduction to Probability and Statistics for Engineers and Scientists
by 作者: Sheldon M. Ross
Published: 2020
Publisher Finelybook 出版社: Academic Press
Pages: 704
ISBN-13 书号: 9780128177464
ISBN-10 书号: 0128177462

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Book Description
Introduction to Probability and Statistics for Engineers and Scientists,Sixth Edition,uniquely emphasizes how probability informs statistical problems,thus helping readers develop an intuitive understanding of the statistical procedures commonly used by 作者: practicing engineers and scientists. Utilizing real data from actual studies across life science,engineering,computing and business,this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas,also discussing the risks associated with the practical application of each material. In the new edition,coverage includes information on Big Data and the use of R.
This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological,physical and computer science departments. It is also appropriate for scientists,engineers and other professionals seeking a reference of foundational content and application to these fields.

OpenVX Programming Guide
Author: Frank Brill,Victor Erukhimov,Radha Giduthuru,Stephen Ramm(Author)
Publisher Finelybook 出版社: Academic Press; (June 10, 2020)
Language 语言: English
pages 页数: 372 pages
ISBN-10 书号: 0128164255
ISBN-13 书号: 9780128164259

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Book Description
Available at a lower price from other sellers that may not offer free Prime shipping.
OpenVX is the computer vision API adopted Author: many high-performance processor vendors. It is quickly becoming the preferred way to write fast and power-efficient code on embedded systems. OpenVX Programming Guidebook presents definitive information on OpenVX 1.2 and 1.3, the Neural Network, and other extensions as well as the OpenVX Safety Critical standard.
This book gives a high-level overview of the OpenVX standard, its design principles, and overall structure. It covers computer vision functions and the graph API, providing examples of usage for the majority of the functions. It is intended both for the first-time user of OpenVX and as a reference for experienced OpenVX developers.

The Rise of AI:: Implications and Applications of Artificial Intelligence in Academic Libraries (Volume 78) (Publications in Librarianship)
Author: Sandy Hervieux and Amanda Wheatley
Publisher Finelybook 出版社: Assoc of College & Research Libraries (May 2, 2022)
Language 语言: English
pages 页数: 220 pages
ISBN-10 书号: 0838939112
ISBN-13 书号: 9780838939116

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Book Description
Librarians are uniquely positioned to rise to the challenge that artificial intelligence (AI) presents to the field. Libraries and their like have existed for millennia; they progress with society, altering and adapting their services to meet the information needs of their communities.
The Rise of AI collects projects, collaborations, and future uses from academic librarians who have begun to embrace AI in their work. In three parts—User Services, Collections and Discovery, and Toward Future Applications—it explores:
machine translation
creating incubation spaces
robotics
combining information literacy initiatives with AI literacy
fostering partnerships with other on-campus groups
integrating AI technology into collections to enhance discoverability
using AI to refine metadata for images, articles, and theses
machine learning
The Rise of AI introduces implications and applications of artificial intelligence in academic libraries and hopes to provoke conversations and inspire new ways of engaging with the technology. As the discussion surrounding ethics, bias, and privacy in AI continues to grow, librarians will be called to make informed decisions and position themselves as leaders in this discourse.

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The Rise of AI 9780838939116.rar

Cybersecurity and Cognitive Science
Author: Ahmed A. Moustafa
Publisher Finelybook 出版社: Academic Press; (June 14, 2022)
Language 语言: English
pages 页数: 400 pages
ISBN-10 书号: 0323905706
ISBN-13 书号: 9780323905701

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Book Description
Cybersecurity and Cognitive Science provides the reader with multiple examples of interactions between cybersecurity, psychology and neuroscience. Specifically, reviewing current research on cognitive skills of network security agents (e.g., situational awareness) as well as individual differences in cognitive measures (e.g., risk taking, impulsivity, procrastination, among others) underlying cybersecurity attacks. Chapters on detection of network attacks as well as detection of cognitive engineering attacks are also included. This book also outlines various modeling frameworks, including agent-based modeling, network modeling, as well as cognitive modeling methods to both understand and improve cybersecurity.
Outlines cognitive modeling within cybersecurity problems
Reviews the connection between intrusion detection systems and human psychology
Discusses various cognitive strategies for enhancing cybersecurity
Summarizes the cognitive skills of efficient network security agents, including the role of situational awareness

Deep Natural Language Processing and Ai Applications for Industry 5.0 (Advances in Computational Intelligence and Robotics)
Author: Poonam Tanwar,Arti Saxena,C. Priya (Editor)
Publisher Finelybook 出版社: Engineering Science Reference (June 25, 2021)
Language 语言: English
pages 页数: 240 pages
ISBN-10 书号: 1799877280
ISBN-13 书号: 9781799877288

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Book Description
To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either Author: simplifying the communication process or Author: refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used Author: industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

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Deep Natural Language Processing and Ai Applications for Industry 5.0 9781799877288.zip