Business applications Books

Book SynopsisCultural forces govern a synergistic relationship among information institutions that shapes their roles collectively and individually. The book addresses the origins of cultural information institutions, the history of the professions that run them, and the social imperative of information organization as a catalyst for semantic synergy.Table of ContentsChapter 1. Cultural Synergy and the Role of Information Institutions.- Chapter 2. The Nature of Information.- Chapter 3. What is (are) Information Studies?.- Chapter 4. The Synergistic Information Professions: Applications of the Information Process.- Chapter 5. Some History of Libraries, Library and Information Science, Information Technology.- Chapter 6. Gatekeepers: Information Dissemination.- Chapter 7. Knowledge Organization: Bibliography as Synergic Catalyst.- Chapter 8. Into the Future Boldly: The Imperative for Cultural Synergy.

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Book SynopsisHarness the power of LaTeX and its wide range of features to create professional-looking text, articles, and books with both online and offline capabilities of LaTeX Key Features Get a hands-on introduction to LaTeX using fully explained examples to advance from beginner to LaTeX professional quickly Write impressive mathematical, scientific, and business papers or theses using LaTeX Explore LaTeX online Book DescriptionLaTeX is high-quality open source typesetting software that produces professional prints and PDF files. It's a powerful and complex tool with a multitude of features, so getting started can be intimidating. However, once you become comfortable with LaTeX, its capabilities far outweigh any initial challenges, and this book will help you with just that! The LaTeX Beginner's Guide will make getting started with LaTeX easy. If you are writing mathematical, scientific, or business papers, or have a thesis to write, this is the perfect book for you. With the help of fully explained examples, this book offers a practical introduction to LaTeX with plenty of step-by-step examples that will help you achieve professional-level results in no time. You'll learn to typeset documents containing tables, figures, formulas, and common book elements such as bibliographies, glossaries, and indexes, and go on to manage complex documents and use modern PDF features. You'll also get to grips with using macros and styles to maintain a consistent document structure while saving typing work. By the end of this LaTeX book, you'll have learned how to fine-tune text and page layout, create professional-looking tables, include figures, present complex mathematical formulas, manage complex documents, and benefit from modern PDF features.What you will learn Make the most of LaTeX s powerful features to produce professionally designed texts Download, install, and set up LaTeX and use additional styles, templates, and tools Typeset math formulas and scientific expressions to the highest standards Understand how to include graphics and work with figures and tables Discover professional fonts and modern PDF features Work with book elements such as bibliographies, glossaries, and indexes Typeset documents containing tables, figures, and formulas Who this book is forIf you are about to write mathematical or scientific papers, seminar handouts, or even plan to write a thesis, this book offers you a fast-paced and practical introduction to LaTeX. School and university students will find this easy-to-follow LaTeX guide helpful, as will mathematicians, physicists, engineers, and humanists. Anybody with high expectations from their software will discover how easy it is to leverage LaTeX's high performance for creating documents.Table of ContentsTable of Contents Getting Started with LaTeX Formatting Text and Creating Macros Designing Pages Creating Lists Including Images Creating Tables Using Cross-References Listing Content and References Writing Math Formulas Using Fonts Developing Large Documents Enhancing Your Documents Further Troubleshooting Using Online Resources

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Book SynopsisUse modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problemsPurchase of the print or Kindle book includes a free eBook in the PDF formatKey Features Explore unique recipes for financial data processing and analysis with Python Apply classical and machine learning approaches to financial time series analysis Calculate various technical analysis indicators and backtest trading strategies Book DescriptionPython is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.What you will learn Preprocess, analyze, and visualize financial data Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models Uncover advanced time series forecasting algorithms such as Meta's Prophet Use Monte Carlo simulations for derivatives valuation and risk assessment Explore volatility modeling using univariate and multivariate GARCH models Investigate various approaches to asset allocation Learn how to approach ML-projects using an example of default prediction Explore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet Who this book is forThis book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You'll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems.Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.Table of ContentsTable of Contents Acquiring Financial Data Data Preprocessing Visualizing Financial Time Series Exploring Financial Time Series Data Technical Analysis and Building Interactive Dashboards Time Series Analysis and Forecasting Machine Learning-Based Approaches to Time Series Forecasting Multi-Factor Models Modelling Volatility with GARCH Class Models Monte Carlo Simulations in Finance Asset Allocation Backtesting Trading Strategies Applied Machine Learning: Identifying Credit Default Advanced Concepts for Machine Learning Projects Deep Learning in Finance

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Book SynopsisUnlock the power of WinUI and supercharge your Windows app development with .NET and C# using this beginner's guide Key Features Find out how to create modern Windows apps with native UI controls Get to grips with modernizing existing desktop apps with a modern UI Leverage WinUI code to build apps for iOS, Android, the web, and more Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWinUI 3 takes a whole new approach to delivering Windows UI components and controls and has the ability to deliver the same features across multiple versions of Windows. Learn WinUI 3 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI and XAML applications. This updated second edition begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. The next set of chapters will help you set up a new Visual Studio environment, develop a new desktop project, incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project, and develop unit tests for ViewModel commands. Next, you’ll cover the basics of data access from WinUI projects with a step-by-step approach. As you advance, you’ll discover how to leverage the Fluent Design System to design beautiful WinUI applications. You’ll also explore the contents and capabilities of the Windows Community Toolkit and learn how to create cross-platform apps with markup and code from your project using Uno Platform. The concluding chapters will teach you how to build, debug, and deploy apps to the Microsoft Store. By the end of this book, you’ll have learned how to build WinUI applications from scratch and how to modernize existing desktop apps using WinUI 3 and the Windows App SDK.What you will learn Discover the latest features of WinUI 3 and learn how to provide product feedback Understand the WinUI project structure and the app lifecycle Use the MVVM pattern in WinUI and discover open source MVVM projects Find out how to create a simple data store to save app data between sessions Get to grips with incorporating the concepts of Fluent Design into a WinUI app Discover how to use push notifications and app notifications in WinUI Reuse WinUI views and view models in a cross-platform Uno Platform app Who this book is forThis book is for anyone looking to develop applications for Windows with a modern UI. If you’re familiar with Windows desktop app development and want to enhance your knowledge of the latest Windows development techniques, this book is for you. Whether you're starting a new project or planning to modernize your existing Windows apps, this book will provide you with guidance. Hands-on experience with C# and .NET is expected, but no prior knowledge of WinUI or the Windows App SDK is required.Table of ContentsTable of Contents Introduction to WinUI Configuring the Development Environment and Creating the Project MVVM for Maintainability and Testability Advanced MVVM Concepts Exploring WinUI Controls Leveraging Data and Services Fluent Design System for Windows Applications Adding Windows Notifications to WinUI Applications Enhancing Applications with the Windows Community Toolkits Accelerating App Development with Template Studio Debugging WinUI Apps with Visual Studio Hosting a Blazor Application in WinUI Take Your App Cross-Platform with Uno Platform Packaging and Deploying WinUI Applications

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Book SynopsisThis open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.Table of ContentsPart I: Technology.- The Evolution of Chatbots in Tourism: a Systematic Literature Review.- In-room voice-based digital assistants transforming on-site hotel services and guests’ experiences.- Co-Creating Personalised Experiences in the Context of Personalisation-Privacy Paradox.- AI based Self-Service Technology Service Failure in Hotel.- Part II: Innovation.- Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands.- A Netnographic Study of Consumer Value in Slow Travel.- Coworking & coliving: do they attract digital nomad tourist?.- Robo-tipping: Are customers game?.- Part III: Social Media & User Generated Content.- Tourist experiences at overcrowded attractions: A text analytics approach.- A Pinterest Netnography.- Contextual Effects of Online Review Recency: Three Research Propositions.- Cultural traits in the consumption of luxury hotel services. An exploratory analysis through online reviews data.- Part IV: Destinations.- The Digitized Ecosystem of Tourism in Europe: Current Trends and Implications.- Destination Imagery Diagnosis Model: The Case of Switzerland.- Discovering Cultural Differences through Information Flow of National DMOs Websites.- Smart Tourism Cities’ Competitiveness Index: A Conceptual Model.- Part V: COVID-19.- Hear no virus, see no virus, speak no virus: Swiss hotels’ online communication regarding Coronavirus.- Factors influencing tourists’ intention to use COVID-19 contact tracing app.- Examining Post COVID-19 Tourist Concerns Using Sentiment Analysis and Topic Modeling.- Enhancing the Visitor Experience in the time of COVID 19. The use of AI Robotics in Pembrokeshire Coastal Pathway.

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Book SynopsisThis book features the latest research in the area of immersive technologies, presented at the 6th International Augmented Reality and Virtual Reality Conference, held in online in 2020. Bridging the gap between academia and industry, it presents the state of the art in augmented reality (AR) and virtual reality (VR) technologies and their applications in various industries such as marketing, education, health care, tourism, events, fashion, entertainment, retail and the gaming industry.The book is a collection of research papers by prominent AR and VR scholars from around the globe. Covering the most significant topics in the field of augmented and virtual reality and providing the latest findings, it is of interest to academics and practitioners alike.Table of ContentsHow To Design Effective AR Retail Apps.- The Role of Mental Imagery as Driver to Purchase Intentions in a Virtual Supermarket.- User responses towards Augmented Reality face filters: Implications for social media and brands.- Can You Make the Cut? Exploring the Effect of Frequency of Cuts in Virtual Reality Storytelling.- Incorporation of augmented-reality technology into smartphone app for large-scale performance art.- Testing Mixed Reality Experiences and Visitor’s Behaviours in a Heritage Museum.- Interactive Mixed Reality Technology for Boosting the Level of Museum Engagement.- Too real for comfort: Measuring Consumers’ Augmented Reality Information Privacy Concerns.- The Proteus Effect: How Avatars Influence Their Users’ Self-Perception and Behaviour.- Modifying the Technology Acceptance Model To Investigate Behavioural Intention To Use Augmented.- Using Virtual Reality as a form of Simulation in the context of Legal Education

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Book SynopsisThe increasing importance of industrial services and rapid digitalization towards smart and remote services pose opportunities as well as challenges to the manufacturing sector. This book provides a holistic understanding of industrial service management and guides companies into building capabilities and management practices for smart and remote services. By combining insights from research and practice, it offers a unique perspective on the core and enabling activities of manufacturing companies for growth in the service business.In essence, the first part covers action-based research findings regarding service strategy, organizational design, service innovation, service sales, services operations, and customer relationship management together with insights into value networks. The second part introduces outstanding practices from leading manufacturing companies in industrial and smart services. The book concludes with a summary of key messages and recommendations to navigate the landscape of industrial and smart service management successfully.Table of ContentsPart I: Theoretical Considerations.- Introduction to Managing Industrial Services.- Servitization of Manufacturing Companies.- Fundamentals of Industrial Service Management.- Service Strategy.- Organizational Structure.- Service Innovation.- Service Sales.- Service Operations.- Customer Relationship Management and the Value Network.- Outlook and Summary of Managing Industrial Services.- Part II: Insights from Practice.- Editorial to Managing Industrial Services: Insights from Practice.- Industrial Smart Services Facilitated by the Heidelberg Cloud.- Adaptive Service: Digital Service Platform and the Service Crowd Community.- Enabling the Dealer Network to Deliver Smart Services.- SKF: Rotating Equipment Performance, a Shift in Perspective—From Transactions to Outcomes.- Value Co-creation as Key to Customer Satisfaction in Digital Services Sales.- Applications of a Digital Twin for the Use of Compressed Air Stations: Concepts and Methods for Model-Based Automatic Planning, Design, Control, and Analysis of Compressed Air Stations.

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Book SynopsisThis book explains how various forms of artificial intelligence, namely machine learning, natural language processing, and robotic process automation, could provide a source of competitive advantage to firms deploying them compared to those firms that would not have deployed these technologies. The advantages of machine learning, natural language processing, and robotic process automation in strategy formulation and strategy implementation are explored. The book illustrates the potential sources of advantage for the strategy formulation and strategy implementation processes, which can be derived from the deployment of each form of artificial intelligence.Table of Contents1. Introduction to Artificial Intelligence and the Changing Nature of a Firm: Implications to Strategy and Strategy Implementation.- 2. A High-Level Overview of Artificial Intelligence: Historical Overview and Emerging Developments.- 3. A Brief Overview of the Firm’s Strategy.- 4. Strategy Implementation.- 5. Machine Learning in Strategy and Implementation.- 6. Natural Language Processing in Strategy and Implementation.- 7. Robotic Process Automation in Strategy and Strategy Implementation.- 8. Synopsis to Artificial Intelligence and the Nature of a Firm:Implications to Strategy and Strategy Implementation.

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Book SynopsisThis book introduces higher-degree research students and early career academics to scientific research as occurring in the field of information systems and adjacent fields, such as computer science, management science, organization science, and software engineering. Instead of focusing primarily on research methods as many other textbooks do, it covers the entire research process, from start to finish, placing particular emphasis on understanding the cognitive and behavioural aspects of research, such as motivation, modes of inquiry, theorising, planning for research, planning for publication, and ethical challenges in research. Comprehensive but also succinct and compact, the book guides beginning researchers in their quest to do scholarly work and to assist them in developing their own answers and strategies over the course of their work. Jan Recker explains in this book the fundamental concepts that govern scientific research and then moves on to introduce the basic steps every researcher undertakes: choosing research questions, developing theory, building a research design, employing research methods, and finally writing academic papers. He also covers essentials of ethical conduct of scientific research. This second edition contains major updates on all these elements plus significant expansions on relevant research methods such as design research and computational methods, a rewritten and extended chapter on theory development, and expansions to the chapters on research methods, scientific publishing, and research ethics. A companion website provides pedagogical materials and instructions for using this book in teaching.Table of ContentsPart I: Basic Principles of Research.- Introduction.- Information Systems Research as a Science.- Part II: Conducting Research.- Planning Your Research.- Theorising.- Research Methods.- Part III: Publishing Research.- Writing IS Research Articles.- Ethical Considerations in Research.- Concluding Remarks.

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Book SynopsisThis book aims to facilitate and improve development work related to all documents and information required by functional safety standards. Proof of Compliance (PoC) is important for the assessor and certification bodies when called up to confirm that the manufacturer has developed a software system according to the required safety standards. While PoC documents add functionality to the product neither for the developer nor for the customer, they do add confidence and trust to the product and ease certification, and as such are important for the product’s value. In spite of this added value, the documentation needed for PoC is often developed late in the project and in a haphazard manner. This book aims at developers, assessors, certification bodies, and purchasers of safety instrumented systems and informs the reader about the most important PoC documents. A typical PoC documentation encompasses 50 to 200 documents, several of which are named in the safety standards (e.g., 82 documents in IEC 61508:2010 series, 101 documents in EN 5012X series and 106 work products in ISO 26262:2018 series). These documents also include further references, typically one to twenty of them, and the total number of pages developed by the manufacturer varies between 2000 and 10000 pages. The book provides guidance and examples what to include in the relevant plans and documents.Table of Contents1. The Introduction.- 2. Agile Practices.- 3. POC in Agile Development and for SMEs.- 4. Generic Documents.- 5. Plans and Functional safety Management.- 6. Safety Analysis Methods Applied to Software.- 7. Safety and Risk Documents.- 8. Software Documents.- 9. Test, Analysis and V&V.

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Book SynopsisThis book constitutes the proceedings papers of the 14th IFIP Working Conference on the Practice of Enterprise Modeling, held in Riga, Latvia, during November 24-26, 2021. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is the use of enterprise modeling and enterprise architecture towards ensuring sustainability and resilience of enterprises and societies. The 14 full and 6 short papers presented in this volume were carefully reviewed and selected from a total of 47 submissions. They were organized in topical sections named: enterprise modeling and enterprise architecture; enterprise modeling methods and method engineering; business process modeling and management; requirements engineering for privacy, security and governance; and case studies and experiences.Table of ContentsEnterprise Modeling and Enterprise Architecture.- Enterprise Coherence with GEA – a 15 Year Co-evolution of Practice and Theory.- Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials.- The Models for Knowledge Acquisition in PMI Specific Requirements Engineering.- Using Knowledge Graphs to Detect Enterprise Architecture Smells.- “Mind the Gap!”: Learning Missing Constraints from Annotated Conceptual Model Simulations.- Detecting value capture processes using FEM.- OLIVE, a Model-Aware Microservice Framework.- Enterprise Modeling Methods and Method Engineering.- An Experience Report on the Implementation of the KYKLOS Modeling Method.- Validation and Verification in Domain-Specific Modeling Method Engineering.- A Foundation for Design, Analysis, and Management of Digital Business Ecosystem through Situational Method Engineering.- Business Process Modeling and Management.- Design Guidelines to Derive ane3valueBusinessModel from a BPMN process model in the Financial Securities Sector.- Context-Aware Process Modelling for Medicinal Product Development.- Process Model Repair Meets Theory Revision - Initial Ideas.- Upper-bounded Model Checking for Declarative Process Models.- Requirements Engineering for Privacy, Security and Governance.- On the Philosophical Foundations of Privacy: Five Theses.- A Cyber Security Digital Twin for Critical Infrastructure Protection: the Intelligent Transport System Use Case.- Expanding Data Governance Across Company Boundaries – An Inter-Organizational Perspective of Roles and Responsibilities.- Case Studies and Experiences.- Can SysML Be Used for Enterprise Modelling?.- A Collaborative Model for Connecting Product Design and Assembly Line Design: an Aeronautical Case.- Assignment of Actors to Activities at Process-oriented Applications: A Research Agenda.

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Book SynopsisA new wave of digital technologies has impacted the business world like a tsunami. But after a first phase characterized by hype and unrealistic expectations, there is now a shared need for a better understanding of how to create real and sustainable value by adopting these technologies. This book suggests a pragmatic approach to value creation by embracing the post-digital mindset: a more mature attitude toward digital innovation focused on putting these technologies at work rather than marveling at them. After the illustration of a post-digital manifesto, the book explores all the key topics and tools that are relevant for the decision makers in this context. Table of Contents1. Companies and Digital Transformations.- 2. Disruptive as Usual: A Manifesto for the Digital Age.- 3. Redescovering the Fundamentals of Value Creation.- 4. Competences and Capabilities for Digital Value Creation.- 5. Enterprise Renewal and Change Management.- 6. A Tool for the Boardroom: The Devo Lab Hit Radar.- The Hit Radar in Action.- 8. The Legal Side of Digital Technologies: Challenges and New Paradigms.- 9. Enabling the Post-Digital Enterprise.

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Book SynopsisComputer Science Track.- Deep Learning Classification for Encrypted Botnet Traffic: Optimizing Model Performance and Resource Utilization.- WikiMotivate: A Facebook Plugin for Motivating Content Creation and Contribution on Wikipedia.- Empirical Evaluation of Variational Autoencoders and Denoising Diffusion Models for Data Augmentation in Bioacoustics Classification.- Investigating Markov Model Accuracy in Representing Student Programming Behaviours.- A Longitudinal Study on the Effect of Patches on Code Coverage and Software System Maintainability.- Analysis of Transformer-based Attention for Low-resource Languages.- Age-Related Face Recognition Using Siamese Networks and Vision Transformers.- Sarcasm Detection in Political Speeches using Recurrent Neural Networks.- Unsupervised State Encoding in Video Sequences using Beta Variational Autoencoders.- User Centred Design and Implementation of Useful Picture Archiving and Communication Systems for Effective Radiological Workflows in Public Health Facilities in Zambia.- Single Matrix Block Shift (SMBS) Dense Matrix Multiplication Algorithm.- Automatic Supervision of Online Assessments Using System Process Information and Random Photography.- Iterative Approximation of Nash Equilibrium Strategies for Multi-Agent Systems.- A Comparison of Text Representation Techniques and Encoder- Decoder Implementations in a Deep Neural Network for Converting Natural Language into Formal Logic Formulas.- Information Systems Track.- Leveraging Environmental Data for Intelligent Traffic Forecasting in Smart Cities. Understanding Limited Enterprise Systems Benefits in Government: An African Case.- Gender Perceptions of Software Developers' Job Satisfaction.- How the Perceptions of Farmers Influences the Adoption of the Agricultural Internet of Things in the Western Cape, South Africa.- POPIA Compliance in Digital Marketplaces: An IGOE Framework for Pattern Language Development.- Cybersecurity Vulnerabilities Experienced by Educators in Marginalised Schools: Case of South Africa.- Cautious Optimism: The Influence of Generative AI Tools in Software Development Projects.- Cybersecurity as a Competitive Advantage for Entrepreneurs.- Factors Affecting User Participation in the Design of Government Digital Services in South Africa.- Utilisation of a Virtualised Honeynet to Proactively Secure the South African National Research and Education Network Against Cyberattacks.- Examining Data Governance to Determine How Democratic Data Management can be Achieved in Organizations.- An Exploratory Qualitative Study of Disruptive Technology Adoption among Zimbabwean Small and Medium Enterprises in and around Harare, Gweru, and Bulawayo.

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Book SynopsisMachine Learning and AI Applications.- Development and Optimization of an Ultra-Lightweight Deep Spoken Keyword Spotting Model for FPGA Acceleration.- Hybrid AI Techniques for Non-Invasive Fault Detection with Experimental Validation.- An Interactive Question-Answer Based System on Alzheimer's Disease Using Retrieval Augmented Generation.- Assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models.- Evaluation of Effectiveness for Prompts and Generative AI Responses.- Blockchain and Security.- Securing RC Based P2P Networks: A Blockchain-Based Access Control Framework Utilizing Ethereum Smart Contracts for IoT and Web 3.0.- Integrating Blockchain-Based Security and Privacy with QML in Edge Computing for 6G Networks.- An Analysis of Malicious Behaviors of Open-Source Packages Using Dynamic Analysis.- Accessible Cybersecurity Education through Prompt Tree Structure.- Parallel Computing and Algorithms.- Bayesian Parameter Inference in Stochastic Biochemical Models using Moment Approximations.- Introducing Multidimensional Parallel Decoder to Reduce Cost of Implementation and Latency.- Introducing Novel Parallel Computing Using Orbital Data.- Data Processing and Image Analysis.- Image Segmentation Network Based on Convolutional Layers, a Clustering Layer, and Cluster Classification.- Measuring API Usability and the Environment: A YouTube API Case Study.- Networking and Edge Computing.- Enabling Seamless Healthcare Services with RC-Based Geographical Peer-to-Peer Fog Architecture in Healthcare 4.0.- Applying Skyline Operator and Taxicab Geometry to Identify Optimal Locations for Establishing Business Properties.- Cryptography and Pseudorandom Generators.- A New Pseudorandom Binary Generator Based on Nonlinear Feedback Registers with Boolean Function Combined Using Multiplexers.

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Book SynopsisDigital Transformation.- Advancements and Challenges in AI Applications for B2C Retail Promotions Unveiling a Socio Technical Framework for Computer Vision Technologies and Generative Adversarial Networks.-  Unravelling the adoption of digital technologies by European SMEs.- Successful Digital Transformation Observations on Digital Maturity, Technology and Logistics in Multiple Industries.- Digital Economy and Investment.- Defining Digital Platforms A Systematic Literature Review.- Digital Economy and Digital Maturity A Comprehensive Review.- Digital investment and firm performance evidence from Moroccan companies.- The nature of the relationship between Digital Financial Inclusion Index and China's Regional Economic Growth GMM-system empirical evidence.- Artificial Intelligence and E-learning.- Potential of Artificial Intelligence in Education A Practical Case Study at Mohammed V University Rabat.- Construction of Knowledge with Strategies Enabled by Generative Artificial Intelligence.- Students' Perceptions of Barriers in Four Teaching Formats a Quantitative Study.- Investigating the Higher Student's Acceptance of E Learning in Universities An Application of UTAUT Model.- E-commerce and Social Media Marketing.- Content and Review Platform Engagement of End Users and Local Businesses an Explorative Analysis based on Google Maps Data.- The effect of product innovativeness on online consumer engagement through the mediating role of intrinsic motivation and ewom.- Does Religiosity Matter An Indonesian Experience in Building Awareness and Developing Sharia E Commerce.- Unlocking Success in Social Media Across the Customer Journey An Integrated Marketing Communication Perspective.- Exploring the Nexus of Digital and Sustainable Economies in Developing States.- Digitalization and Shadow Economy A Literature Review.- The impact of Green Innovation on Green Growth in the era of digitalization Evidence from EU countries.- Is there a relationship between shadow economy, digitalization, and sustainable development Insights from a national and regional bibliometric analysis.- Digital Business Models.- Exploring Customer Acceptance of Smart Stores An Advanced Model Approach.- Bibliometric analysis and network mapping on Mobile Technologies in the area of marketing: Emerging topics and research agenda.- Catalysts driving the integration of artificial intelligence (AI) in project management an in depth exploration with a focus on the Moroccan context.- Integrating Advanced Mobility Services in Federated Data Spaces An Exploration of Organizational Roles.

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Book SynopsisApplication of Machine Learning for Business.- Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs.- Modeling funding decision of industrial projects using boosting machine learning algorithms.- A Sentiment Analysis Approach for Hotels Rating.- Digital Technologies and Innovative Management.- Application of Blockchain to Human Resources Management.- Predicting Turnover Tendency of Candidates/Employees Based on Personality Assessment Tests A Data Driven Approach.- Why embrace augmented reality beauty Filters? Delving into young women's motivations.- Social Networks and Information Technologies.- Marketplace Platforms Towards a New Taxonomy.- Comparative analysis of clinical terminology servers a quest for an improved solution.- A payment architecture for decentralized data spaces based on Gaia X.- Modelling a patient identifier system in the Estonian National Health Information System.- Digital Economy in Emerging Countries.- ICT and the Digital Divide Analyzing ICT Indicators in Morocco Using PCA.- Technological digitalization model for medium sized pig farms in Mexico.- Analysis of the relationship between innovation, digitalization, and economic growth in North African countries.- Unveiling the dynamics Global Innovation Index and digital technologies corporate sophistication in emerging country institutions.- Mobile Banking and Digital Assets.- Evaluating the Role of Mobile Money in Alleviating Liquidity Deficit.- Diagnosing Mobile Banking Applications to Optimize User Experience and Engagement Method, Features and Recommendations.- The impact of internet banking adoption on the profitability of the banking industry evidence from Morocco.- Examining the impact of Bitcoin price volatility on stock markets a comparative analysis between ARDL and NARDL approaches.- Online Session.- When the artificial revolutionizes the reality Focus on this new trend of Virtual Influencers.- Search Engine Gender Bias Cross Cultural Analysis.- Delving into the Shadows of Artificial Intelligence in Green Marketing.

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Book Synopsis.- Smart technologies. .- Beat trustfully: The correlation between heart rate and a multi-dimensional trust questionnaire..- Detecting and Locating Stress in Urban Settings with ChillIn..- Traceability. .- Interoperable Traceability in Supply Chains: A Use Case in Agritech..- Treemob: Expressive Mobility Data Representation through Tree-based Structures..- From GPS Traces to Individual Emission Exposure: a Data-Driven Four-Step Process..- Capacity Vehicle Routing Problem with Time Windows: Simulation tool for Footprint Network Design..- Chain of Portable Health Folders: A Systematic Literature Review..- Integrating Metro Infrastructure in Circular Food Supply Chains: A Model for decentralized Quito’s Food Bank Network Redesign..- Tra?ic forecasting and control. .- An AutoML Approach for Bike Demand Forecasting and Redistribution..- Adaptive Stop-Skipping Scheduling Approach Using Reinforcement Learning..- Machine Learning Approach for Labeling Undetected Planned Trips in Public Transport Operators..- Reinforcement Learning Algorithms with Graph Convolution Networks for Tra?ic Signal Control..- Optimizing Intelligent Transportation Systems with Multi-Agent Reinforcement Learning: A Socio-Economic Impact Assessment..- Road safety. .- A Mobile Application to secure pedestrians interacting with automated vehicles..- A Simulation-based Security Benchmarking Approach for Assessing Cooperative Driving Automation (CDA) Applications..- Regulations and policies. .- Wireless Interference and Regulatory Frameworks for Frequency Allocation in V2X Communication Systems..- Runtime norms regulation framework for drones’ smart cities applications..- Autonomous vehicles. .- A Data-Driven Integrated Framework for Virtual Testing of Autonomous Vehicles in Mixed Tra?ic Scenarios..- Federated Learning for Lane-Change Prediction..- Evaluating Tra?ic Control Strategies for Autonomous Shuttle In Different AV penetration, Using SUMO Tra?ic Simulation..- Adaptive Video Bitrate Allocation for Remotely Operated Vehicles (ROV)..- Model-based analysis for cooperative transportation under uncertainty and threats. .- Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors..- Impact of Network Delays on Edge-Assisted Platooning Systems in 5G Networks: Addressing Latency Challenges..- A model-based approach for analysis of data-alteration attacks in co-operative vehicles..- A Preliminary Approach To Verify Platoon Behaviour Using Execution Traces and Model Checking.

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Book Synopsis.- Impact of Item Polarity on Semantic Differential Scales in User Experience Measurement..- An End-User Tool for Supporting Frequent Multisource Web Search Workflows..- Overview of Web Application Performance Optimization Techniques..- Interest and Challenges of Students regarding Web and Mobile Technologies..- SWI (Soft Web Intelligence) Powered by User-Defined Fuzzy Operators and Aggregators..- Matching Pre-Processed Database Records Using Natural Language Queries on Advertisements..- Mapping Business Web Applications for Web Automation..- On the Construction of Text-to-SQL Tools Based on Large Language Models for Real-World Relational Databases..- Refining Community Boundaries in Bee Swarm Optimization for Enhanced Community Detection in Social Networks.

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Book SynopsisRegular Papers.- Evaluating the Inclusion of Technical Indicators for Deep Learning-empowered Stock Price Prediction in the Chinese Market.- AI-Powered Financial Services: A Value Co-Creation Model.- Enhancing Collaborative Analytics with an Ontology: A Case Study with High Frequency Data Analysis.- Enhancing Analytics Pipelines with Advanced Multi-Agent Feedback Integration.- Integrating Artificial Intelligence and Data Analytics: Implication for Auditing Practice.- Invited Papers.- Old Soldiers Never Die: They just Fade Away: Sweden is Cash Free.- AI and Gender Bias in Banking Hiring Practices.

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Book Synopsis.- Business Process Improvement..- AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining..- Identifying Process Improvement Opportunities through Process Execution Benchmarking..- Interdependency-Aware Business Process Prioritization for Process Improvements..- Human-AI Interplay in Exploring Process Representations..- Human-AI Collaboration for Business Process Modeling with Petri Nets..- Repairing Process Descriptions by Discovering Deviations from Process Models..- Process Model Complexity Metrics, Cognitive Load and Visual Behavior: A Multi-Granular Eye-Tracking Analysis..- Event Data Extraction..- Which Tables are Mine(able)?..- OCPM2: Extending the Process Mining Methodology for Object-Centric Event Data Extraction..- Making the Case for Process Analytics: A Use Case in Court Proceedings..- Probabilistic Approaches to Uncertainty and Prediction in Process Mining..- Predicting Unseen Process Behavior Based on Log Injection..- Toward IoT-based Process Analytics: Extending Event Knowledge Graphs with Ambiguity..- Probabilistic Learning of Temporal Uncertainties in Business Processes..- AI-Driven Modeling and Analysis..- Assessing the Suitability of Large Language Models in Generating UML Class Diagrams as Conceptual Models..- Exploring the Influence of Data Characteristics on Machine Learning Outcomes..- Can an LLM Use Work System Axioms when Describing Work Systems for Requirements Analysis?..- Security..- Forensic Readiness and Privacy: Towards Resolving Software Goal Conflict..- An ontological model of the phishing attack process..- harborLang: Enhancing Maritime Operational Safety Through Cyber Threat Simulation and Assessment..- Evaluation of Modeling Practices..- Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education..- Are Code and Design Models Similarly Effective in Understanding Software Structure and Behavior?..- Towards a Maturity Assessment Framework for MBSE Adoption: Results from a Meta-Synthesis..- Modeling of and within Organizations..- Enhancing C2-Systems: Validation of Goal and Concept Models with Stakeholders..- Supporting Collaborative Design by Diagram Briefs in the Early Stage of Innovation Projects..- A Metamodel for Applying Green BPM Approaches with the EU Taxonomy..- Experience Report: Applying a Capability Heat Map in a Government Organization..- Domain Modeling..- State of the Art and Research Directions for Visual Conceptual Modeling in Robotics..- A Domain-specific Modeling Method for Designing Conversational Agents for Coaching: A Case from Health Coaching..- Designing Decision Support Systems for Rural Mobility Enhancement.

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Book Synopsis.- Innovative ICT applications in education..- Report-Based Interpretation of 2024 Digital Literacy and Skills in China and the EU: Status, Differences, and Future Directions..- The use of technology by children aged 0-6: a study on educational models, attitudes, and media behaviors of educators and teachers in the context of the "new normal."..- Brain-Computer Interfaces and Educational Inclusion: The potential of BCI for learners with additional support needs (NAS)..- VR, online, hybrid or traditional training? Cyber threats training preferences and needs from the perspective of Polish and British teachers  - a comparative study..- The Role of Critical Pedagogy in Searching for a New Model of Digital Education in Poland..- Beyond tools: Navigating Pedagogical Innovation in Postdigital Classrooms..- Children and Ozobots - The First Contact Reminiscence..- Developing 21st Century Skills Through Micro:bits in Inclusive Education..- The cyberbullying perception of lower secondary school pupils..- Di.Co.EACH. - Digital competence in Early Childhood: educating parents and teachers in conscious, critical and creative uses of digital media..- Parents’ and preschool educators’ perspectives on digital devices in early childhood. Preliminary findings from the research project PRIN “Di.Co.Each”..- AI in education..- Mapping Theoretical Frameworks for Digital Literacy: DigComp 2.2, AI Literacy Competency Framework, AI literacy TPACK, the Machine Learning Education Framework, the UNESCO AI Competency Framework for and teachers and other innovative approaches..- Challenges for education based on empirical model of GAI in schools – what are the concerns of Polish primary school teachers?..- ChatGPT as a learning tool for migrant students with disabilities in upper secondary vocational education: An intersectional study..- Influence of Generative AI on higher education from a business students' perspective: A Delphi study..- AI in didactics in the light of applications, students’ acceptance and practical recommendations..- Acceptance of Artificial Intelligence in the Classroom: Transforming Pedagogical Approaches and Student Learning in Morocco..- A Preliminary Study on Higher Education Students' Usage, and Attitudes Towards AI..- Artificial intelligence metaphors for students as a fundament for developing AI literacy..- Ensuring Quality in AI-Generated Multiple-Choice Questions for Higher Education with the QUEST framework..- Bridging Scientific Research and AI: How Indonesian Teacher Candidates Perceive Emerging Technologies in Education..- Not All Bodies Are Created Equal: Use of Generative AI in Physical Education..- Academic Use of Artificial Intelligence Tools by University Students.

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Book Synopsis.- Information Systems..- Bridging the Financial Literacy Gap: Machine Learning-PoweredVisualisations for Non-Financial Users..- Overcoming Barriers to Technology Adoption Among ImmigrantEntrepreneurs in the Informal Economy..- Exploring the Ethical and Social Impact of Artificial Intelligence: ABERTopic Analysis of Academic Literature..- Using Metaphor Analysis to Explore the Theoretical Underpinningsof Agile Software Development: Towards a more Sustainable SoftwareDevelopment Environment..- Leveraging Advanced Technologies for Enhanced RegulatoryCompliance in Public Organizations..- Antecedents and Consequences of Consumer Internet of Things SecuritySelf-Efficacy..- Compliance with Cybersecurity in Schools: A Systematic LiteratureReview..- Conversion Process in Production and Distribution of Digital Resourcesfor Tuition in Higher Education..- An Organisational Culture Framework to Guide the Transition to anAgile Software Development Methodology..- The Impact of Large Language Models on Cybersecurity..- Design Science Research: Guidance for Crafting and Reporting DesignKnowledge Contributions..- Artificial Intelligence for Enhanced Master Data Quality Managementin Enterprise Resource Planning Systems..- Computer Science..- NUTRINET: A Computationally Efficient Graph Neural Model forInterpretable Nutrient Interaction Analysis..- Autonomous Anomaly Detection of Orchard Tree Crown Delineations. .- Data Overdose? Time for a Quadruple Shot: Knowledge GraphConstruction using Enhanced Triple Extraction..- Using Deep Learning to Detect Stitching Artefacts in Drone-BasedOrthomosaics of Orchards..- Sentiment Analysis in African Languages: Evaluating Generative AIand Afrocentric Language Models..- Rectification of Accumulated Proprioception Errors in EvolutionaryRobotics..- Citation context extraction using a transformer-based model with aquestion-answering task.

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Book Synopsis.- Full Papers..- A Business View on Information System Development..- Data Contracts in Data Mesh: A Systematic Gray Literature Review..- An Expressive Class of Well-formed Activity Diagrams..-  VR-SBOM: Visualization of Software Bill of Materials and Software Supply Chains in Virtual Reality..- The Effectiveness of 3D Virtual Environments for BPMN Teaching: A Quasi-Experimental Study..- Trustworthy Artificial Neural Networks Due to Process Mining in AI: Challenges and Opportunities..- Realizing the Full Potential of AI Applications through Business Process Management..- A Generative and Restrictive AI Interplay in Entity Matching and Retrieval..- A Hybrid Quantum-AI Architecture for Enhanced Blockchain Consensus..- Short Papers.- Engineering Functional Requirements..- Prompt Engineering for Analyzing Acceptance Criteria for Functional Requirements..- Towards Self-Adaptive Information Systems with Federated Learning and Decentralized Optimization..- Towards Generic Context Awareness Building Blocks that are Domain-Specific..- A Declarative Semantics for an Expressive Class of Well-formed Activity Diagrams..- Software Architecture for Automated 3D Image Measurements. ..- Ex-Ante Evaluation Approaches within the Design Process of Information and Data Models..- Tanned-ReLU: A Bounded and Smooth Activation Function for Reliable Deep Learning on Chaotic Multi-variate Data. ..- Open Data Portals Engagement: A Cross-Country Analysis of Game Elements..- Advancing Credit Assessment: A Hybrid Methodology for Importer Crediting...- Aligning Clinical Workflows and AI Integration: Digital Healthcare Reference Model in Dementia and Frailty Care..- Predicting Students' Critical Thinking Skills Using Machine Learning: A Comparative Study..- A.R.T.I.C.: A Conceptual Model for AR and UGC-Driven Social Media Marketing..- Unmanned Aerial Vehicles: A Regulatory Compliance Perspective.

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Book Synopsisfoundations.- engineering.- and management.

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Book Synopsis1. Motivation.- 2. Models.- 3. Modeling Languages for Business Processes.- 4. Contemporary Aspects in Business Process Modeling / Management.- 5. From Modeling to Digital Execution.- 6. Preparing an Implementation.- 7. Realization.- 8. Tools. - 9. Industrial Use Case.- 10. Conclusion.

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