Ethics of Artificial Intelligence In Education
Introduction to AI in Education: Provide a comprehensive overview of how artificial intelligence (AI) is being integrated into educational settings, including applications such as adaptive learning systems, intelligent tutoring, automated grading, and administrative tools. Discuss the potential benefits and transformative impact of AI on teaching and learning.Ethical Principles and Frameworks: Explore the fundamental ethical principles and frameworks relevant to AI in education, including fairness, transparency, accountability, privacy, and bias. Discuss how these principles apply to the development and deployment of AI technologies in educational contexts.Bias and Equity: Address the challenges of bias and equity in AI systems, including how biases in algorithms and data can impact educational outcomes. Provide insights into strategies for mitigating bias, promoting inclusivity, and ensuring equitable access to AI-powered educational tools and resources.Ethical Governance and Policy Recommendations: Discuss the role of governance and policy in ensuring ethical AI use in education. Explore best practices for developing ethical guidelines, establishing oversight mechanisms, and fostering collaboration among educators, technologists, policymakers, and stakeholders to address ethical concerns and promote responsible AI use.
Building Information Modeling
-Provides a comprehensive overview of the principles and practices of BIM, a digital modeling process used in the Architecture, Engineering, Construction, and Operations (AECO) industry. Begins with an introduction to the concept of BIM and its evolution over the years.-Covers the basics of digital information and its importance in the AECO industry. It also discusses the process of digitization and its role in improving efficiency and accuracy in the industry.-Provides the different types of representation used in the AECO industry, including symbolic and analogue representations. It also covers the specific representation techniques used in BIM.-Focuses on data and information management in BIM and explores the basics of data and information and their importance in decision-making processes.-Covers the various decision-making processes in the AECO industry and the role of information in these processes. It also covers process and information diagrams used in BIM to improve project management.-It is an essential guide for professionals and students in the AECO and it is a valuable resource for anyone looking to improve efficiency and accuracy in their projects
Augmented Reality
-Presents various modern and practical applications of augmented reality technology and explores the use of augmented reality in the education sector and its potential to enhance the learning experience.-Discusses the use of digital holographic microscopy for cytopathology, which allows for high-resolution imaging of biological samples and explores the latest advances in single and multiwavelength digital holography and holographic microscopy.-Examines the use of augmented reality in technical and vocational education and training and describes the use of intelligent virtual and augmented reality for managing natural disasters.-Presents the latest advances in spatially faithful 3D telepresence technology and discusses the use of augmented reality in different building information modeling (BIM) workflows.-It explores the use of design thinking for computer-aided co-design in architecture and discusses the potential of augmented reality as an emerging technology for promoting products and services.-This book is for game developers interested in adding AR capabilities to their games and apps. The book assumes beginner-level knowledge of Unity development and C# programming, familiarity with 3D graphics, and experience in using existing AR applications.
Fundamentals of Database Design
-The book covers fundamental concepts such as data, information, metadata, and database. It explains the differences between these terms and how they are interconnected.-The book explores the characteristics of a database system and its benefits, such as data independence, data security, and efficient data access.-The book covers the entity-relationship data model, which is a widely used modelling technique for designing relational databases. It explains the concepts of entities, attributes, and relationships.-The book describes the importance of maintaining data integrity in a database system and explains how to enforce integrity rules and constraints.-The book covers ER modelling, explains how to create an ER diagram and explores the concept of functional dependencies and how they are used in database design.-The book covers SQL's data manipulation language, which includes statements used for inserting, updating, and deleting data in a database.-This book is intended for computer science majors and the study matter lays special emphasis on designs issues, relational calculus, mathematical models and relational algebra.
Intelligent Unmanned Robotics
-The book provides a comprehensive overview of the latest developments in the field of unmanned robotics and their applications and explores several topics related to the field of unmanned robotics.-It discusses the development of robotic systems that can navigate and explore narrow, confined spaces such as pipes to assist in search and rescue operations and focuses on the development of robotic systems that can perform search operations in hazardous environments.-It explores the use of quadrotor unmanned aerial vehicles (UAVs) for various applications, such as surveillance, inspection, and monitoring.-It describes the development of a robotic system that can continuously map and explore underground sites, such as mines or tunnels, without human intervention.-It focuses on the development of advanced nonlinear control systems for UAVs, which can improve their performance and enable them to perform complex tasks and discusses various applications of UAVs.-It will be useful for researchers, engineers, and students working in this field
Tools and Algorithms for the Construction and Analysis of Systems
Fiber Optic Sensors and Applications
-It constitutes the most complete, comprehensive, and up-to-date reference on the development of optical fiber sensors.-The book covers a wide range of topics related to fiber optic sensors and their applications, providing insights into the latest technologies and trends in the field.-Describes the emerging technology of multi-core fiber and its applications in optical communications and explores the exploration of tapered fiber devices and their use in various applications.-Explores the latest techniques used in optical fiber communication to enhance the system's performance, including coded modulation and impairment compensation techniques and the use of orbital angular momentum (OAM) modes in optical fibers for next-generation space division multiplexing (SDM) systems.-Provides detailed examination of optical fiber tweezers and their use in assembling living photonic probes and use of fiber optics in bio-sensing applications, such as biosensors and medical imaging.-It covers the photonics and artificial intelligence (AI) technologies and their potential applications and the laser opto-electronic oscillator and its use in the modulation of laser emission.-Students as well as professionals who work with optical fiber sensors will find this volume to be an indispensable resource and reference.
Data Mining
-The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.-The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.-The book emphasizes the importance of machine learning in data mining and provides a detailed discussion of various machine learning techniques, such as regression and classification.-The book uses Python programming language and MapReduce algorithms to illustrate various data mining techniques, making it accessible to readers with programming experience.
Fractional Order Complex Systems
Fractional-order systems extend classical integer-order models, providing a more accurate description of real-world physical phenomena. In image processing, critical techniques like noise suppression and image fusion in medical imaging are essential for clinical diagnosis and treatment. The increasing diversity of image acquisition models has further emphasized the importance of these techniques. Recent advancements have positioned fractional operators as a key component in image processing, serving as powerful tools for noise reduction and feature enhancement. Additionally, the development of new fractional operating tools has significantly enhanced the analysis and design of nonlinear control systems. Singular systems, characterized by singular differential equations, exhibit unique properties distinct from classical systems. Methodologies for fractional-order control systems, inspired by integer-order approaches, are gaining traction within the control community due to their enhanced capabilities. This Special Issue highlights the latest developments in fractional calculus and its transformative impact across multiple disciplines, setting the stage for future innovations in applied mathematics and engineering.
Machine Learning and Data Analytics for Cyber Security
The aim of this reprint is to provide an overview of the current challenges within the cyber security community today, as recognized by our contributors. This reprint provides 16 papers from the Topical Collection on "Machine Learning and Data Analytics for Cyber Security" that cover topics of large language models for cybersecurity claim classification, adversarial machine learning attacks against intrusion detection systems, the detection of PLC process control anomalies, identifying session-replay bots compared to human users, and mitigating against side-channel attacks.
Against Metaphysical Necessity
One should not commit to metaphysical necessity; semantic modalities are enough. The best approaches to elucidate semantic modalities are versions of linguistic ersatzism and fictionalism, even if only developed in parts. Within these necessary properties and the difference between natural and semantic laws can be accounted for. The proper background theory for this is an updated version of Logical Empiricism. The anti-metaphysical attitude of Logical Empiricism deserves revitalization. The second part of the book illustrates a methodological observation from the first part: elucidating a concept can proceed by computational modelling. As an example, the book concerns modelling belief dynamics in the sense of building a computational model. The purpose is to illustrate some ideas about belief changes in a web of beliefs to explore and deepen one's understanding of belief changes by implementing corresponding algorithms. As a part of the model accepting conditionals and counterfactuals can be understood by versions of Ramsey Tests, i.e. again without modal commitments.
Unifying Systems
Interdisciplinary systems thinking is complementary but does not replace conventional disciplinary analytical thinking. The book is valuable for researchers, their advisors, and other thinkers interested in deep knowledge of science. Interdisciplinary systems thinking is valuable for three reasons: The goal of all science is a unified view of the world; we cannot solve the significant problems of our time without interdisciplinary collaboration; and general theories of systems and system archetypes support the solution to those problems. System archetypes are generic system models that have stood the test of time. As specialists within a discipline, we must be able to communicate between disciplines. Interdisciplinary generalists can offer us reliable visions and relevant research problems. The goal of interdisciplinary research is to find unified solutions to those problems. The book provides a lot of information from over a thousand sources in a structured manner to help the reader. The book includes a comprehensive chronology, vocabulary, and bibliography. The author has been a research professor in information engineering for over 25 years. During his career, he became interested in systems thinking, which is closely related to the philosophy and history of science.
Domain-Driven Refactoring
Apply domain-driven design practices effortlessly to evolve your system into a modern, robust application while mastering refactoring techniques that drive real-world resultsKey Features: - Learn how to modernize your system to make it as frictionless as possible- Gain hands-on experience in applying strategic and tactical patterns through real-world examples- Transform your architecture with practical guidance for seamless refactoring- Purchase of the print or Kindle book includes a free PDF eBookBook Description: As software development continues to grow, mastering domain-driven design (DDD) will help transform your approach to complex systems. Filled with actionable insights and practical examples, this book is your essential guide to implementing DDD principles, covering its key concepts and practical applications in modern architecture.Alessandro, an eCommerce specialist and DDD expert with 30 years of experience, and Alberto, a dedicated backend developer, tap into their extensive expertise to help you refactor your monolith into a modular structure, whether it be evolving into microservices or enhancing a maintainable monolith, resulting in a system that adapts to changing business needs and non-functional requirements.You'll explore vital DDD patterns like strategic design with bounded contexts and ubiquitous language, improving communication between technical and domain experts. The chapters take you through modeling techniques to manage complexity and increase flexibility, while also addressing microservices integration, including inter-service communication, transaction management, and data strategies.By the end of this book, you'll be able to decompose a monolith and refine its architecture for adaptability, all while ensuring business logic remains central to your software design and development.What You Will Learn: - Find out how to recognize the boundaries of your system's components- Apply strategic patterns such as bounded contexts and ubiquitous language- Master tactical patterns for building aggregates and entities- Discover principal refactoring patterns and learn how to implement them- Identify pain points in a complex code base and address them- Explore event-driven architectures for component decoupling- Get skilled at writing tests that validate and maintain architectural integrityWho this book is for: This book is ideal for software developers, architects, and team leads looking to modernize legacy applications using domain-driven design principles. If you're a backend developer or software engineer looking to enhance your understanding of DDD, this guide will elevate your skills in designing robust systems. Team leads and architects will find valuable insights for guiding their teams through the transition from monoliths to microservices. Familiarity with C# is a must, as the book provides practical examples in this language.Table of Contents- Evolution of Domain-Driven Design- Understanding Complexity: Problem and Solution Space- Strategic Patterns- Tactical Patterns- Introducing Refactoring Principles- Transitioning from Chaos- Integrating Events with CQRS- Refactoring the Database- DDD Patterns for Continuous Integration and Continuous Refactoring- When and Why You Should Transition to a Microservices Architecture- Dealing with Events and Their Evolution- Orchestrating Complexity: Advanced Approaches to Business Processes
Computational Intelligence and Human-Computer Interaction
The present Special Issue contains all of the articles accepted and published in the Special Issue of MDPI's journal Mathematics titled "Computational Intelligence and Human-Computer Interaction: Modern Methods and Applications, 2nd Edition", as a follow-up on the first edition. This Special Issue covered a wide range of topics connected to the theory and application of different computational intelligence techniques to the domain of human-computer interaction, such as automatic speech recognition, speech processing and analysis, virtual reality, emotion-aware applications, digital storytelling, natural language processing, smart cars and devices, and online learning. We hope that this Special Issue will be interesting and useful for those working in various areas of artificial intelligence, human-computer interaction, and software engineering and those interested in how these domains are connected in real-life situations.
Synergy and Redundancy Measures
The following Special Issue covers advances in both the theoretical formulation and applications of information-theoretic measures of synergy and redundancy. An important aspect of how sources of information are distributed across a set of variables concerns whether different variables provide redundant, unique, or synergistic information when combined with other variables. Intuitively, variables share redundant information if each variable individually carries the same information carried by other variables. Information carried by a certain variable is unique if it is not carried by any other variables or their combination, and a group of variables carries synergistic information if some information arises only when they are combined. Recent advances have contributed to building an information-theoretic framework to determine the distribution and nature of information extractable from multivariate data sets. Measures of redundant, unique, or synergistic information characterize dependencies between the parts of a multivariate system and can help to understand its function and mechanisms. This Special issue provides updates on advances in the formulation and application of decompositions of the information carried by a set of variables about a target of interest. Advances in the theoretical formulation comprise the connection with channel ordering, with information compression, and the characterization of decision regions. Applications extend to, among others, structure learning, characterizing emergence in complex systems, and understanding representations in cognition.
Application of Artificial Intelligence in the New Era of Communication Networks
This Special Issue highlights the valuable contributions to wireless and mobile communication technologies, mobile edge computing, and blockchain using modern artificial intelligence and machine learning techniques. The applications of machine learning in wireless and mobile communication networks have been receiving increasing attention, especially in the new era of big data and the Internet of Things (IoT), where data mining and data analysis technologies are effective approaches to solving wireless system issues. Artificial intelligence is one of the leading technologies in 5G, beyond 5G, and future 6G networks. Intelligence is playing a crucial role in unlocking the full potential of the 5G networks and the future 6G mobile wireless networks by leveraging universal infrastructure, open network architectures, software-defined networking, network function virtualization, multi-access edge compu-ting, vehicular networks, etc. The implementation of blockchain and mobile edge computing has become a significant part of new wireless and mobile communication networks, helping to perform computations as close to IoT devices as possible.
Petroleum Characterization and Bioprocesses
This Special Issue aims to showcase cutting-edge research on numerical modeling and experimental investigation in the characterization of petroleum and its derivatives and bioprocesses. The scope of this Special Issue includes cases of investigations on petroleum property relationships, the modeling of petroleum properties, the application of different methods for the characterization of petroleum and its derivatives, sustainable fuels, biofuels, petroleum refining process performance optimization, and bioprocesses. Included in this Special Issue are seventeen contributions from researchers across the globe in the fields of petroleum fluid characterization and bioprocesses.
Mathematics in Robot Control for Theoretical and Applied Problems
Robot control and navigation represent one of the most challenging topics in terms of industrial applications, as well as scientific issues. In particular, in engineering mathematics, this topic is significant and continues to attract international interest. In fact, theoretical and application aspects are strictly connected in this field. Applied mathematical aspects in engineering play a crucial role in driving future investigations and advancements. Advanced mathematical algorithms play a tremendous role in robot industrial applications and represent the basis of any progress in this area. The present reprint contains 13 articles accepted and published in the Special Issue "Mathematics in Robot Control for Theoretical and Applied Problems, 2023" of the MDPI journal Mathematics, covering a wide range of topics connected to the theory and applications in robot control. These topics include, among others, elements related to robotics, control, navigation, and machine vision. It is hoped that the reprint will be interesting and useful for those working in the area of robot control, as well as for those with the proper mathematical background who are willing to become familiar with recent advances in applications in engineering mathematics, particularly in mathematics for robot control, which has now entered almost all sectors of human life and activity.
Advances in Explainability, Agents, and Large Language Models
This book constitutes the refereed proceedings of the First International Workshop on Advances in explainability, agents, and large language models, CALM 2024, held in Kyoto, Japan, during November 18-19, 2024. The 7 full papers and 1 short paper presented in this book were carefully reviewed and selected from 17 submissions. The Workshop on Causality, Agents, and Large Models (CALM) was established to foster interdisciplinary collaboration and advance research at the intersection of causal reasoning, multi-agent systems (MAS), and large language models (LLMs).
Simple Type Theory
This unique textbook, in contrast to a standard logic text, provides the reader with a logic that can be used in practice to express and reason about mathematical ideas. The book is an introduction to simple type theory, a classical higher-order version of predicate logic that extends first-order logic. It presents a practice-oriented logic called Alonzo that is based on Alonzo Church's formulation of simple type theory known as Church's type theory. Unlike traditional predicate logics, Alonzo admits undefined expressions. The book illustrates using Alonzo how simple type theory is suited ideally for reasoning about mathematical structures and constructing libraries of mathematical knowledge. For this second edition, more than 400 additions, corrections, and improvements have been made, including a new chapter on inductive sets and types. Topics and features: - - - - - - Aimed at students of mathematics and computing at the graduate or upper-undergraduate level, this book is well suited for mathematicians, computing professionals, engineers, and scientists who need a practical logic for expressing and reasoning about mathematical ideas. William M. Farmer is a Professor in the Department of Computing and Software at McMaster University in Hamilton, Ontario, Canada.
Applications of Evolutionary Computation
This two-volume set, LNCS 15612 and 15613 constitutes the refereed proceedings of the 28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025, in Trieste, Italy, during April 23-25, 2025, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 50 full papers and 18 short papers presented in this book were carefully reviewed and selected from 104 submissions. These papers have been organized in the following topical sections: Part I: EvoApplications.Part II: Evolutionary machine learning; 30 years of particle swarm optimisation; Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications; Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems; Computational Intelligence for Sustainability; EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs); Evolutionary Computation in Edge, Fog, and Cloud Computing; Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition; Machine Learning and AI in Digital Healthcare and Personalized Medicine; Soft Computing Applied to Games.
Neuromorphic Computing Principles and Organization
The second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each chapter includes exercises to enhance understanding. All existing chapters have been meticulously revised, and a new chapter on advanced neuromorphic prosthesis design serves as a comprehensive case study. The book starts with an overview of neuromorphic systems and fundamental artificial neural network concepts. It explores artificial neurons, neuron models, storage technologies, inter-neuron communication, learning mechanisms, and design approaches. Detailed discussions cover challenges in constructing spiking neural networks and emerging memory technologies. A dedicated chapter addresses circuits and architectures, including Network-on-Chip (NoC) fabric, Address Event Representation (AER), memory access methods, and photonic interconnects. Reliability issues, recovery methods for multicore systems, and reconfigurable designs supporting multiple applications are examined. The book also describes the hardware-software design of a three-dimensional neuromorphic processor, focusing on high integration density, minimal spike delay, and scalable design. The book concludes with a comprehensive review of neuromorphic systems, providing a detailed analysis of the field and an overarching understanding of the key concepts discussed throughout the text.
Applications of Evolutionary Computation
This two-volume set, LNCS 15612 and 15613 constitutes the refereed proceedings of the 28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025, in Trieste, Italy, during April 23-25, 2025, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 50 full papers and 18 short papers presented in this book were carefully reviewed and selected from 104 submissions. These papers have been organized in the following topical sections: Part I: EvoApplications.Part II: Evolutionary machine learning; 30 years of particle swarm optimisation; Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications; Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems; Computational Intelligence for Sustainability; EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs); Evolutionary Computation in Edge, Fog, and Cloud Computing; Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition; Machine Learning and AI in Digital Healthcare and Personalized Medicine; Soft Computing Applied to Games.
Artificial Intelligence in Music, Sound, Art and Design
This book constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2025, held as part of EvoStar 2025, in Trieste, Itlay, during April 23-25, 2024. The 28 full papers presented in this book were carefully reviewed and selected from 52 submissions. They present a broad selection of topics and applications, including systems that create music, art, and design.
Guide to Distributed Algorithms
The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases. The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing. Topics and features: Presents comprehensive design methods for distributed algorithms Provides detailed analysis for the algorithms presented Uses graph templates to demonstrate the working of algorithms Provides working Python code for most of the algorithms presented This unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects.
Smart Cities to Smart Societies
This book explores the governance of smart cities from a holistic approach, arguing that the creation of smart cities must consider the specific the circumstances of each country to improve the preservation, revitalisation, liveability, and sustainability of urban areas.
The Resonant Brain
This Special Issue is dedicated to Stephen Grossberg, Professor Emeritus at the Department of Biomedical Engineering of Boston University (BU), Wang Professor of Cognitive and Neural Systems, and a former Director of the Center for Adaptive Systems of BU. Grossberg is an internationally acclaimed scientist and a pioneer in fundamental principles, mechanisms, and model architectures that form the foundation of contemporary neural network research. Articles in this collection focus on the perceptual integration of sensory information, cognitive representation, and mechanisms feeding consciousness.
Current trends in ICT applications to library and office processes
The Children of the Machine
X is called for an interview, though he has applied for no job. Invited to a waiting room, he finds him locked inside overnight. When he protests, he is offered breakfast, a room and finds himself half guest, half prisoner. His attempts to escape are foiled by the "centre's" knowledge of him and uncanny supervision. He is treated to lavish meals, accommodated in luxury but can't quieten his disturbance. Sexual services are on offer every day, but their coldness unnerves him. During temporary escapes, he comes across a dilapidated cottage occupied by a silent, old man with a shotgun, a house empty except for a young girl and her fierce Rottweiler, a remote, tiny pub run by a lone woman who feeds him before warning him the authorities are coming for him. Why does the old man kill himself ?Why does the girl disappear overnight? He is taken to a restaurant where he witnesses apparently innocent diners seized and taken away by security. Elite entertainment is provided. He's introduced to the rich and famous. But what is the "contentment doctrine" and who are the "normalisation force"? And why does everyone accept the decisions of "the machine"? When a crisis arises with the "outsiders" the atmosphere changes. In this novella, Dent explores the nature of autonomy, the threat of ceding control to AI, and the debilitating nature of being constantly served. X is a modern everyman. His tragic fate a warning to us all.
Innovations and Interdisciplinary Solutions for Underserved Areas
Artificial Intelligence Adoption and It's Impact on the Sustainability
Digital Literacy
This book, "Digital Literacy: Empowering Individuals in the Digital Age," aims to shed light on the importance of digital literacy and provide a comprehensive guide for individuals seeking to enhance their digital skills and knowledge. It serves as a roadmap, equipping readers with the necessary tools to harness the power of technology and make informed decisions in a rapidly changing digital landscape.In the following pages, we will explore the various dimensions of digital literacy, delving into topics such as internet safety, media literacy, digital citizenship, information literacy, and critical thinking. We will examine the impact of digital technologies on different aspects of our lives, from education and employment to communication and personal development.
The Spirit of Recovery
The book focuses on how information technology may assist in achieving goals and provide solutions to problems like the pandemic. It explores and describes the current state-of-the-art research conducted during the pandemic. Topics covered include the IT Viewpoint and the rules governing digital transformation throughout the epidemic.
