Virtual and Augmented Reality
An Educational Handbook
Mixed Reality has been part of our lives ever since we first started to dream of creative ways to comprehend information and concepts through actual and imaginative experiences. This book explores the latest research informing education design in virtual and augmented reality. By utilising numerous studies and examples, it describes the differences between perceived knowledge, usage area, technologies, and tools. It will help the reader gain a better understanding of the nature of virtual or augmented realities and their applications in theory and practice.
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
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Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology. In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on…
This book shows how artificial intelligence (AI) and machine learning (ML) are used to prevent security assaults on blockchain. It explores use cases and security methods, arguing that integrating AI and ML is crucial for increasing blockchain security.
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This original and truly multidisciplinary book explores how a variety of separate fields have been impacted by COVID-19 and how they can contribute to tackling the problems created by the disease. Covering the humanities, social sciences, physical sciences, life sciences, and health sciences, it offers varied perspectives on the positive and negative impacts of the COVID-19 pandemic on the human race and specifically on Indonesians. The book will be of interest to researchers working in many different fields, university students, the general public, and policy makers concerned with business and…
This multidisciplinary book explores COVID-19’s impact across the sciences and humanities. It offers varied perspectives on the pandemic’s challenges and solutions, with a specific focus on Indonesia. For researchers, students, the public, and policy makers.
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Satellite image processing is crucial in detecting vegetation, clouds, and other atmospheric applications. Due to sensor limitations and pre-processing, remotely sensed satellite images may have interpretability concerns as to specific portions of the image, making it hard to recognise patterns or objects and posing the risk of losing minute details in the image. Existing imaging processors and optical components are expensive to counterfeit, have interpretability issues, and are not necessarily viable in real applications. This book exploits the usage of deep learning (DL) components in feature extraction to boost the…
Satellite images often suffer from interpretability issues and lost details due to sensor limitations. This book exploits deep learning to boost minute details and improve classification, showing how super-resolution improves spatial detail for precise decision-making.
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Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission, storage and processing capabilities available and embedded everywhere. Thanks to the unbelievable amount of recorded information and the theoretical results of measurement and data science, a great deal of newly developed products invade our surroundings and enable previously unconceivable smart services and support. This volume consists of a number of chapters covering the scientific results of researchers working in this field at the Department of…
This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.
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This book deals with one of the most modern research areas: the study of human speech behavior, including the biology of the human brain, mathematics, linguistics and modern artificial intelligence technologies, specifically the theory and practice regarding artificial neural networks and microelectronics of neurochips in its various guises. The book also considers the main areas related to speech behavior; issues of implementing speech technologies in terms of speech behavior modeling, including purposeful speech behavior: automatic speech recognition, text-to-speech synthesis, video recognition, implementation of dialogue behavior; and the issues of integrating…
This book offers an integral view of human speech behavior, uniting biology, linguistics, math, and AI. It explores neural networks and microelectronics for speech recognition, text-to-speech synthesis, and dialogue systems. For a broad professional audience.
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This book explores real-world uses of artificial intelligence (AI) for the interpretation of behavioral patterns, and how behavior may have a significant influence on a person's actions, choices and personality. It also discusses problems with AI, as well as its various uses, such as controlling diseases that affect millions of people. The book serves as a succinct introduction to new notions and theories that may be discovered at the nexus of AI and modern personality analysis. Subjects such as deep learning, deep neural networks, and meteorological applications are discussed, making…
This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
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This book is a collection of real-world cases, illustrating how to handle challenging and volatile financial time series data for a better understanding of their past behavior and robust forecasting of their future movement. It demonstrates how the concepts and techniques of statistical, econometric, machine learning, and deep learning are applied to build robust predictive models, and the ways in which these models can be used for constructing profitable portfolios of investments. All the concepts and methods used here have been implemented using R and Python languages on TensorFlow and…
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
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The Art of Artificial Intelligence
Philosophical Keywords
What is artificial intelligence to us today? This book tackles this question from a somewhat unique perspective, that of art. The starting hypothesis is that art can provide an example of how we can engage with artificial intelligence without being subjugated by it. The Art of Artificial Intelligence: Philosophical Keywords guides the reader through a theoretical journey that begins, each time, with a particular work of art: visual artworks, but also literary texts and theatrical performances. Each chapter is anchored by a philosophical keyword: "work," "author," "time," "memory," "human." What…
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
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This book is a precise and comprehensive history of the digital computer. It is the first collection of available information about the digital computer, beginning with the philosophical and logical advancements in the early 20th century that led to it. The book explores the histories and stories of the computer, tracing its roots and routes. It examines and analyzes commonly accepted views on the digital computer and its development, and offers clearer and more accurate alternatives to them. Its approach, though dealing with the introduction and development of the digital…
This book is a precise and comprehensive history of the digital computer, tracing its roots and routes through the modern era. Though dealing with the history of technology in general, its central focus is the automatic digital program-controlled calculating devices of 1935-1945.
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A Global Approach to Data Value Maximization
Integration, Machine Learning and Multimodal Analysis
This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of “sonification”, multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it…
A multitude of approaches and techniques can be applied to extract the maximum informative value from complex data sets, many of which are discussed here. Dell’Aversana begins with the domain of geosciences, before moving on to various other scientific and engineering sectors.
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Mainframe Computer Systems
The General Electric Corporation
This volume describes General Electric Corporation’s venture into developing second and third generation mainframe computer systems. The General Electric Corporation (GE), which began its life as the Edison Electric Co., was long involved in electrical appliances and industrial machines. It was also a founder of the Radio Corporation of America, which eventually became one of its competitors, and developed many electrical systems in order to control different types of industrial machines. Its breakthrough into computing came with its winning bid to provide the computing systems for the Electronic Recording Method…
This volume describes General Electric’s venture into mainframe computers. GE pioneered commercial timesharing, and its hardware was used to develop the BASIC language and the influential Multics system. Unable to compete with IBM, GE sold its computer division to Honeywell.
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Neuroinformatics and Semantic Representations
Theory and Applications
This book proposes an approach to the analysis of information using a neural network based on neural-like elements and temporal summation of signals, which makes it possible to implement a structural approach to the analysis of information streams. Together with associative access to information, structural multilevel analysis enables the interpretation of information processing in columns of the cerebral cortex of humans. Using representations of information processing in the hippocampus, it is possible to re-construct the human model of the world and to interpret purposeful behaviour. The book describes the procedure…
This book proposes a neural network for structural information analysis. Inspired by the human brain, this approach reconstructs a model of the world to interpret behaviour and enables automatic semantic analysis of text, constructing a semantic portrait from any stream.
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In modern technology networks, security plays an important role in safeguarding data. Detecting the threats posed by hackers, and capturing the data about such attacks are known as the virtual honeypot. This book details the process, highlighting how to confuse the attackers and to direct them onto the wrong path.
A virtual honeypot detects threats from hackers and captures data about their attacks. This book details how to confuse attackers and direct them onto the wrong path.
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Analysis and Forecasting of Financial Time Series
Selected Cases
This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns. Using time series data from diverse financial sectors, it shows how the concepts and techniques of statistical analysis, machine learning, and deep learning are applied to build robust predictive models, as well as the ways in which these models can be used for forecasting the future prices of stocks and constructing profitable portfolios of investments. All the…
This book uses real-world cases to show how to analyse volatile financial time series with statistical analysis, machine learning, and deep learning. Learn to build predictive models to forecast stock prices and construct profitable portfolios using Python and R.
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Intelligent Transportation Systems
Concepts and Cases
Transportation-related challenges exist all over the world, with all countries struggling to develop efficient, effective and user-friendly transportation systems. Today, policy agencies and financing institutions are keen to invest heavily for a potentially good transport systems, as good mobility is pertinent to social growth and a sustainable environment. Intelligent Transportation Systems (ITS) have become a global area of growth in recent times because of increasing demand for mobility, rampant urbanization, and depleting energy reserves. Existing conventional transport infrastructure fails to meet the ever-increasing demand; building additional transportation infrastructure is cumbersome,…
With demand for mobility growing and infrastructure limited, Intelligent Transportation Systems (ITS) are essential. This book presents the ingredients of good ITS not from a technology perspective, but from a business, management, and policy view, with real-life case studies.
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Post-editing of Machine Translation
Processes and Applications
Post-editing is possibly the oldest form of human-machine cooperation for translation. It has been a common practice for just about as long as operational machine translation systems have existed. Recently, however, there has been a surge of interest in post-editing among the wider user community, partly due to the increasing quality of machine translation output, but also to the availability of free, reliable software for both machine translation and post-editing. As a result, the practices and processes of the translation industry are changing in fundamental ways. This volume is a…
A surge of interest in post-editing, the oldest form of human-machine cooperation for translation, is fundamentally changing the industry. This volume compiles work by researchers, developers, and practitioners on this essential, evolving practice.
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Second Generation Mainframes
The IBM 7000 Series
Second Generation Mainframes: The IBM 7000 Series describes IBM’s second generation of mainframe computers which introduced new technology, new peripherals and advanced software. These systems were continuations of the instruction sets of the IBM 700 series with significant enhancements, but supported upwards compatibility that preserved customers’ investment in the earlier series. The use of magnetic cores, fast magnetic tapes and disks, and transistors yielded computation speeds that opened new domains for computation. Programming languages continued to be developed and enhanced, and new ones were developed for specific domains, such as…
The IBM 7000 series led the way in many innovative concepts that helped to establish IBM as the foremost manufacturer of computer systems. This study describes IBM’s second generation of mainframe computers, detailing their new technology, new peripherals and advanced software.
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Enhanced Learning Environments
Technology and Innovation
Representing a diverse range of academic perspectives from various disciplines to provoke original thinking, engage critical analysis, and fuel the desire to improve education, this book is for those readers with a genuine interest in quality education and supporting technology. One often hears the words “Enhanced”, “Learning Environments”, “Technology”, and “Innovation” liberally applied in conversations with an assumption that their inclusion automatically improves the quality of education. This book looks beyond mere buzzwords for the ground truth in how education, technology, and innovation can enhance theory and practice in pedagogy…
This book looks beyond buzzwords for the ground truth in how technology can enhance education. It makes a strong case for how innovations like immersive virtual reality, accessible Hollywood technology, and the metaverse can create a new frontier for future-focused learning.
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This book is primarily intended for undergraduate and postgraduate students of statistics, mathematics, operations research, and engineering. It provides the basic concepts and methods of linear and integer linear programming. The text begins with an introduction containing the mathematical background to the subject matter, and goes on to discuss advancements the field. Formulations of various problems in diverse fields in linear and integer programming formats are also presented here. The book’s presentation of the solution of various numerical problems makes the subject matter and the methods detailed in the text…
For students of statistics, mathematics, and engineering, this book provides the concepts and methods of linear and integer programming. It presents formulations of diverse problems and solutions to numerical examples, making the subject matter easier to comprehend.
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