Databases / Data management Books

Book SynopsisThis open access book summarizes knowledge about several file systems and file formats commonly used in mobile devices. In addition to the fundamental description of the formats, there are hints about the forensic value of possible artefacts, along with an outline of tools that can decode the relevant data. The book is organized into two distinct parts: Part I describes several different file systems that are commonly used in mobile devices. · APFS is the file system that is used in all modern Apple devices including iPhones, iPads, and even Apple Computers, like the MacBook series. · Ext4 is very common in Android devices and is the successor of the Ext2 and Ext3 file systems that were commonly used on Linux-based computers. · The Flash-Friendly File System (F2FS) is a Linux system designed explicitly for NAND Flash memory, common in removable storage devices and mobile devices, which Samsung Electronics developed in 2012. · The QNX6 file system is present in Smartphones delivered by Blackberry (e.g. devices that are using Blackberry 10) and modern vehicle infotainment systems that use QNX as their operating system. Part II describes five different file formats that are commonly used on mobile devices. · SQLite is nearly omnipresent in mobile devices with an overwhelming majority of all mobile applications storing their data in such databases. · The second leading file format in the mobile world are Property Lists, which are predominantly found on Apple devices.· Java Serialization is a popular technique for storing object states in the Java programming language. Mobile application (app) developers very often resort to this technique to make their application state persistent. · The Realm database format has emerged over recent years as a possible successor to the now ageing SQLite format and has begun to appear as part of some modern applications on mobile devices. · Protocol Buffers provide a format for taking compiled data and serializing it by turning it into bytes represented in decimal values, which is a technique commonly used in mobile devices. The aim of this book is to act as a knowledge base and reference guide for digital forensic practitioners who need knowledge about a specific file system or file format. It is also hoped to provide useful insight and knowledge for students or other aspiring professionals who want to work within the field of digital forensics. The book is written with the assumption that the reader will have some existing knowledge and understanding about computers, mobile devices, file systems and file formats.Table of ContentsPart I: Mobile File System Formats.- 1. APFS.- 2. Ext4.- 3. The Flash-Friendly File System (F2FS).- 4. QNX6.- Part II: Mobile File Formats.- 5. SQLite.- 6. Property Lists.- 7. Java Serialization.- 8. Realm.- 9. Protocol Buffers.

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Book SynopsisThis book takes a forward-looking approach by bringing in research and contributions that facilitate in mapping the impact of AI and big data on businesses, the nature of work along with providing practical solutions for preparing the work, workplace, and the workforce of the future. Organizations globally have been experiencing immense transformation due to the reinvention and redefining of the business models due to the dynamic nature of the business environment. Looking at an organizational context, undeniably, the definition of ‘work’ and ‘organizations’ is genuinely changing. Artificial intelligence, big data, automation, and robotics are a few of those keywords that are seemingly entering the workplace and reshaping the way work is being done. Moreover, the transition that is being addressed herein not only focuses upon aspects that are operative within an organization like the organizational culture, team building, networking, recruitments, and so on but also aims to address the external aspects like supply chain management, value chain analysis, investment management, etc. Broadly, every single step that is now taken is intensely experiencing this impact upon its functioning. This book serves as a guide not just to the academia but also to the industry to adopt suitable strategies that offer insights into global best practices as well as the innovations in the domain.Table of ContentsPart I: Driving Innovative and Creative Practices.- Challenges of the Industrial IOT (IIoT) in Higher Education in the Kingdom of Bahrain.- The role of Emotional Intelligence in the improvement of Industrial Multicriteria Decision Making: A Model Driven Approach for Emotional Intelligence Testing.- Redesigning and Reinvention of Retail Industry through Artificial Intelligence (AI).- The Role of Artificial intelligence in Human Resources.- Transforming into Smart Business: The role of Artificial Intelligence.- The Dynamic Capital Structure Decision of Firms in Indonesia.- The Suitability of Gold as a High-quality Liquid Asset: Empirical Evidence from Volatility Structure Analysis.- The Impact of Artificial Intelligence on the Banking Industry Performance.- Part II: Social media, Communication and its effects on society and business.- In Influencers We Trust? A Model of Trust Transfer in Social Media Influencer Marketing.- The Usage of Artificial Intelligence in Journalism.- Societal Partnership in the Fourth Era of Industrial Revolution Between the Media And Civil Society Institutions Aiming To Reducing The Demand For Drugs.- Artificial Intelligence: Chatbot - The New Generation of Communication.- The Relationship Between Food E-Advertising and Children’s Obesity in Bahrain.- Technological Sustainability in the 21st Century.- Part III: The implementation of technology and the future of education and knowledge.- Interns' Self-Efficacy, Internet Addiction, Wellbeing, and Online Learning Experiences: A Descriptive-Correlational Study.- The challenges and factors influencing the E-learning system usage during COVID-19 pandemic.- Student Invigilation Detection using Deep Learning and Machine after Covid-19: A Review on Taxonomy and Future Challenges.- The Websites Technology for Arabic Language Learning through COVID-19 Pandemic.- The Impact of Digitizing Business Education on the Quality of Education during COVID-19 Pandemic: The Role of International Accreditation Bodies.- The Role of Artificial Intelligence in Knowledge Management.- Knowledge and Perceptions of the COVID-19 Pandemic in the Kingdom of Bahrain: A Descriptive Study.- Part IV. The Fourth Industrial Revolution, cryptocurrency, cybersecurity, ethics and corporate performance.- Risks, Advantages and Obstacles Associated with Bitcoin: The Perspective of Palestinian Banks.- The impact of major technologies in Fourth Industrial Revolution.- The Usage of Financial Technology Payments During the Pandemic of Covid-19.- The Influence of Cybersecurity on The Firms’ Financial Performance.- The Fact of corporate governance in the Palestinian territories.- Malay Ethnic Directors, Board Attributes and Ownership Structure on Firm Performance: Corporate Governance Evidence from an Emerging Market.- Impact of Derivatives on Firm Value: Evidence on Shariah and non-Shariah Compliant Firms.- The Impact of Artificial Intelligence (AI) in the Oil and Gas Industry.

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Book SynopsisThis open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.Table of ContentsData Science and Earth System Science.- The Digital Earth project: focus and agenda.- Data analysis and exploration with visual approaches.- Data analysis and exploration with computational approaches.- Data analysis and exploration with scientific workflows.- The Digital Earth SMART monitoring concept and tools.- Interdisciplinary collaboration.- Evaluating the success of the Digital Earth project.- Lessons learned in the Digital Earth project.

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Book SynopsisThis book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications, different kinds of networks need to collaborate, and wired and next generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. The aim of the book “Advanced Information Networking and Applications” is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.Table of ContentsA Fuzzy-Based System for Determining Driver Stress in VANETs Considering Driving Experience and History.- Performance Evaluation of WMNs by WMN-PSOHC Hybrid Simulation System Considering Different Instances: A Comparison Study for RDVM and LDIWM Replacement Methods.- Millimeter-Wave Dual-Band Slotted Antenna for 5G Applications.- The Multi-access Edge Computing (MEC)-based Bit Rate Adaptive Multicast SVC.- Distributed Log Search based on Time Series Access and Service Relations.- Viterbi Algorithm & HMM Implementation to Multicriteria Data-Driven Decision Support Model for Optimization of Medical Service Quality Selection.- Prevention of DrDoS Amplification Attacks by Penalizing the Attackers in SDN Environment.

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Book SynopsisThis book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications, different kinds of networks need to collaborate, and wired and next generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. The aim of the book “Advanced Information Networking and Applications” is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.Table of ContentsLSTM-based Reinforcement Q Learning Model for Non Intrusive Load Monitoring.- Machine Learning for Student QoE Prediction in Mobile Learning during COVID-19.- Shape trajectory analysis based on HOG descriptor for isolated word sign language recognition.- An Improved Ant Colony Optimization based Parking Algorithm with Graph Coloring.-Smart insole monitoring system for fall detection and bad plantar pressure.- Information Security Fatigue in Visually Impaired University Students.- A floating car data application to estimate the origin- destination car trips before and during the COVID-19 pandemic.- Simulation and evaluation of charging electric vehicles in smart energy neighborhoods.

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Book SynopsisThis book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data. Table of ContentsPart 1: Generic Tools.- Chapter 1: The Stochastic Multi-armed Bandit Problem.- Chapter 2: Reinforcement Learning.- Chapter 3: Optimal Learning and Optimal Design.- Part 2: Price Optimization.- Chapter 4: Dynamic Pricing with Demand Learning: Emerging Topics and State of the Art.- Chapter 5: Learning and Pricing with Inventory Constraints.- Chapter 6: Dynamic Pricing and Demand Learning in Nonstationary Environments.- Chapter 7: Pricing with High-Dimensional Data.- Part 3: Assortment Optimization.- Chapter 8: Nonparametric Estimation of Choice Models.- Chapter 9: The MNL-Bandit Problem.- Chapter 10: Dynamic Assortment Optimization: Beyond MNL Model.- Part 4: Inventory Optimization.- Chapter 11: Inventory Control with Censored Demand.- Chapter 12: Joint Pricing and Inventory Control with Demand Learning.- Chapter 13: Optimization in the Small-Data, Large-Scale Regime.- Part 5: Healthcare Operations.- Chapter 14: Bandit Procedures for Designing Patient-Centric Clinical Trials.- Chapter 15: Dynamic Treatment Regimes.

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Book SynopsisThis definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big. Table of Contents1. Data Science Process2. Dimensionality Reduction - Creating Manageable Training Datasets3. Classical Algorithms - Overview4. Regression Analysis5. Decision Tree6. Ensemble - Bagging and Boosting7. K-Nearest Neighbors8. Naive Bayes9. Support Vector Machines: A supervised learning algorithm for Classification and Regression10. Clustering Overview11. Centroid-based Clustering12. Connectivity-based Clustering13. Gaussian Mixture Model14. Density-based15. BIRCH16. CLARANS17. Affinity Propagation Clustering18. STING19. CLIQUE20. Artificial Neural Networks21. ANN-based Applications22. Automated Tools23. Data Scientist’s Ultimate Workflow

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Book SynopsisThis book constitutes revised papers from the eight workshops which were held during June 2021 at the 24th International Conference on Business Information Systems, BIS 2021. The conference was planned to take place in Hannover, Germany, and changed to a fully online event due to the COVID-19 pandemic. There was a total of 67 submissions to all workshops of which 31papers were accepted for publication. The workshops included in this volume are: AKTB 2021: 12th Workshop on Applications of Knowledge-Based Technologies in Business BisEd 2021: BIS Education: Trends and Challenges DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios DigEx 2021: 3rd International Workshop on transforming the Digital Customer Experience iCRM 2021: 6th International Workshop on Integrated Social CRM QOD 2021: 4th Workshop on Quality of Open Data BITA 2021: 12th Workshop on Business and IT Alignment BSCT 2021: 4th Workshop on Blockchain and Smart Contract TechnologiesTable of ContentsAKTB Workshop.- Analysis of the structure of Germany's energy sector with self-organizing Kohonen maps.- Time-to-Event Modelling for survival and hazard analysis of Stroke clinical case.- Automatically Extracting Insurance Contract Knowledge Using NLP.- Analyzing Medical Data with Process Mining: a COVID-19 Case Study.- Problem Domain Example of Knowledge-Based Enterprise Model Usage for Different UML Behavioral Models Generation.- BIS Education Workshop.- Reconsidering the Challenges of BIS Education in Light of the COVID Pandemic.- COVID-19-related challenges in business information systems education: experiences from Slovenia.- Successful Project Completion During the COVID-19 Pandemic - A Lesson Learnt.- Comparative analysis of highly ranked BIS degree programs.- DigBD Workshop.- Multi-Agent System for Weather Forecasting in India.- Towards a Data Collection Quality Model for Big Data Applications.- Investigating the Incorporation of Big Data in Management Information Systems.- The Perception of Test Driven Development in Computer Science - Outline for a Structured Literature Review.- DigEx Workshop.- Influence of Augmented Reality on Consumer Behaviour in Online Retailing.- Personality Based Data-driven Personalizationas as an Integral Part of the Mobile Application.- iCRM Workshop.- Social CRM as a business strategy: developing the dynamic capabilities of Micro and Small Businesses.- Gaining Insights on Student Satisfaction by applying Social CRM techniques for Higher Education Institutions.- Understanding Customer-induced Orchestration of Services: A Review of Drivers and Concepts.- QOD Workshop.- A high-resolution urban land surface dataset for the Hong Kong-Shenzhen area.- Review of literature on Open Data for scalability and operation efficiency of electric bus fleets.- Challenges of Mining Twitter Data for Analyzing Service Performance: A Case study of Transportation Service in Malaysia.- Data quality assessment of comma separated values using linked data approach.- Spatio-temporal data sources integration with ontology for road accidents analysis.- BITA Workshop.- IT-Service Value Modeling: A Systematic Literature Analysis.- Consolidating Academic and Practical Guidelines for Digital Transformation.- Integrated Security Management of Public and Private Sector for Critical Infrastructures - Problem Investigation.- Market Launch and Regulative Assessment of ICT-based Medical Devices: Case Study and Problem Definition.- BSCT Workshop.- A Probabilistic Logic Model of Lightning Network.- Enabling Electronic Bills of Lading by Using a Private Blockchain.- Modeling the Resilience of the Cryptocurrency Market to COVID-19.- Fast payment systems dynamics: lessons from diffusion of innovation models.- A Meta-Review of Blockchain Adoption Literature in Supply Chain.

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Book SynopsisThis book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.Table of Contents1. Introduction.- 2. Deep Digital Identity for Big Data Privacy and Security.- 3. Behavioral Biometrics for Security in Smart Cities.- 4. Identity Spoofing and Cyber Attacks.- 5. Intrusion Detection via Deep Learning.- 6. Biometric Blockchain in e-Governance.- 7. e-Voting and Transparent Democracy.- 8. Secured e-Trading with Blockchain.- 9. Healthcare Biometric Blockchain.- 10. Medical Data and Security.- 11. Digital Passport.- 12. Social Smart Cities.- 13. Forensics and Legislation.- 14. Soft Border Control with Digital IDs.

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Book SynopsisThis book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21–22, 2022, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," National Aviation University, and the International Research Association of Modern Education and Computer Science. State-of-the-art studies in computer science, artificial intelligence, engineering methodologies, genetic coding systems, deep learning with medical applications, and knowledge representation with educational applications are among the topics covered in the book. For academics, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and education, this book is a valuable resource.Table of ContentsDigital Twin-driven Warehouse Management System for Picking Path Planning Problem.- Analysis of Transfer of Modulated Ink Flows in a Short Printing System of Parallel Structure.- Credit Strategy Model of Small, Medium and Micro Enterprises Based on Principal Component Analysis.- Modelling of Tone Reproduction with Round Raster Elements in a Short Printing System of Parallel Structure.- Parametric Optimization of Time-Domain Digital Control System.- Research on Possible Convolution Operation Speed Enhancement via AArch64 SIMD.- Research on the Application of Intelligent Logistics Innovation Technology in Logistics 4.0 Era.- An Optimal Pricing and Inventory Control Policy for Online Sale.- Variational Method for Solving the Time-fractal Heat Conduction Problem in the Claydite-block Construction.- Programming Language ASAMPL 2.0 for Mulsemedia Applications Development.- Location-based Threats for User Equipment in 5G Network.- Design and Implementation of Virtual Laboratory Construction Scheme for Transportation Logistics Specialty Group.- Application Research on Construction and Evaluation of Logistics Enterprises Performance.- Human Resource Structure and Scientific Research Productivity of Chinese Universities Based on Entropy Weight Method and the Relationship Model.- Dynamic Pricing Strategy and Simulation of Electricity Enterprises Based on Supply Chain Revenue Management Competitiveness of China Railway Express Node Cities Based on AHP.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.Table of ContentsOrchestrating Heterogeneous Applications: Motivation and State of the Art.- The SODALITE Approach: an Overview.- The SODALITE Model-driven Approach.- Quality Assurance and Design-time Optimization.- The SODALITE Runtime Environment.- SODALITE in Context.- SODALITE Use Cases.- Toward Impact Generation and Future Research.

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Book SynopsisThis book is the result of four-year work in the framework of the Ibero-American Research Network TICs4CI funded by the CYTED program. In the following decades, 85% of the world's population is expected to live in cities; hence, urban centers should be prepared to provide smart solutions for problems ranging from video surveillance and intelligent mobility to the solid waste recycling processes, just to mention a few. More specifically, the book describes underlying technologies and practical implementations of several successful case studies of ICTs developed in the following smart city areas: • Urban environment monitoring • Intelligent mobility • Waste recycling processes • Video surveillance • Computer-aided diagnose in healthcare systems • Computer vision-based approaches for efficiency in production processes The book is intended for researchers and engineers in the field of ICTs for smart cities, as well as to anyone who wants to know about state-of-the-art approaches and challenges on this field. Table of ContentsArt Graffiti Detection in Urban Images using Deep Learning.- Deep Neural Networks for Passengers’ Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services.- Epistemic Uncertainty Quantification in Human Trajectory Prediction.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, held in La Rochelle, France, in May 2022.The full papers presented were carefully reviewed and selected from numerous submissions addressing key techniques of document analysis.

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Book SynopsisThis book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.Table of ContentsIntroduction.- Background of the ETS.- Fundamentals of the ETS.- State-of-the-art Automatic Evaluation Methods.- A Novel Methodology based on Linear Optimization of Metrics for the ETS.- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation.- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation.- Conclusions and future considerations for the ETS.

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Book SynopsisThis book contains the proceedings of the 5th International Conference on Geoinformatics and Data Analysis (ICGDA 2022), held in January 21–23, Paris, France. Geoinformatics helps to support basic scientific inquiry as well as address the complex social and environmental challenges. It becomes very important technology to decision-makers across a wide range of disciplines such as computer science, information technology, software engineering, biogeography, geography, conservation, architecture, spatial analysis and reinforcement learning. The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in the area of geoinformatics and data analysis, including software and information engineering, environmental geography and geographic information system, which makes the book a valuable reference for researchers, engineers and university students who are working in the field.Table of ContentsSpatio-temporal Characteristics of Land-cover Changes in China During 2000-2019.- Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburg.- Evaluation and Pattern Optimization of Ecological Space of Chongqing with Remote Sensing Data.- Research on Calculation Model of National Fragile State Based on Climate Vulnerability.- Daily Rainfall Analysis in Indonesia using ARIMA, Neural Network and LSTM.- Development of A Geoinformation Monitoring Module for The Khankalsky Geothermal Deposit in The Chechen Republic.- Mapping Fences in Xilingol Grassland Using High Spatiotemporal Resolution Remote Sensing Data.- Comparative Study on Remote Sensing Image Classifier of Jiulong River Basin.- OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images.- Analysis of Urban Sprawl and Growth Pattern Using Geospatial Technologies in Megacity, Bangkok, Thailand.- WEB-GIS for Transportation System of Oran City.- Construction Method of City-level Geographic Knowledge Graph Based on Geographic Entity.- Development of Remote Sensing Software Using a Boosted Tree Machine Learning Model Architecture for Professional and Citizen Science Applications.- Fast Construction of Vegetation Polygons Based on Object-oriented Method.- A/B Testing via Continuous Integration and Continuous Delivery.- An Automated Approach for Mapping between Software Requirements and Design Items: An Industrial Case from Turkey.- Code Comprehension for Read-Copy-Update Synchronization Contexts in C Code.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎governance, managerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎governance, managerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎gerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business and Technology (EMABT), held in Istanbul, between November 06–07, 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎ The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, and innovation, legal issues, business ethics, and firm ‎governance, managerial accounting and firm financial affairs, non-traditional research and creative ‎methodologies. ‎ These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

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Book SynopsisThis book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the 22nd International Conference on Web Engineering, ICWE 2022, held in Bari, Italy, in July 2022. The 23 revised full papers and 5 short papers presented were carefully reviewed and selected from 81 submissions. The books also contains 6 demonstration and poster papers, 7 symposium and 5 tutorial papers. They are organized in topical sections named: recommender systems based on web technology; social web applications; web applications modelling and engineering; web big data and web data analytics; web mining and knowledge extraction; web security and privacy; web user interfaces.Table of Contentsrecommender systems based on web technology.- social web applications.- web applications modelling and engineering.- web big data and web data analytics.- web mining and knowledge extraction.- web security and privacy.- web user interfaces.- web mining and knowledge extraction.- web Big Data and Web data analytics.- Mobile Web applications.- web of Things applications.- social Web applications.- web crowdsourcing and human computation.- semantic web.- web ontologies, and Linked Open Data applications.- quality and accessibility aspects of Web applications.- web composition and mashups.- web user interfaces.- web security and privacy.- web programming.- web services, computing, and standards.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.Table of ContentsSoftware Engineering.- Theoretical Computer Science in industrial applications.- Software Engineering Methodologies. Formal and theoretical software engineering methods and techniques.

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Book SynopsisThis book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.Table of ContentsRDF Data and Management.- Fuzzy Sets and Fuzzy Database Modeling.- Fuzzy RDF Modeling.- Persistence of Fuzzy RDF and Fuzzy RDF Schema.- Fuzzy RDF Queries.

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Book SynopsisBusiness shapes have been changed these days. Change is the main dominant fact that change the way of business operations running. Topics such as innovation, entrepreneurship, leadership, blockchain, mobile business, social media, e-learning, machine learning, and artificial intelligence become essential to be considered by each institution within the technology era. This book tries to give additional views on how technologies influence business and marketing operations for insuring successful institutions survival.The world needs to develop management and intelligent business scenario plans that suite a variety of crisis appears these days. Also, business and marketing intelligence should meet government priorities in individual countries and minimise the risk of business disruptions. Business intelligence - the strategies and technology companies that use it to collect, interpret, and benefit from data - play a key role in informing company strategies, functions, and efficiency. However, being essential to the success, many companies are not taking advantage of tools that can improve their business intelligence efforts. Information technology become a core stone in business. For example, the combination of machine learning and business intelligence can have a far-reaching impact on the insights the company gets from its available data to improve productivity, quality, customer service and more. This book is important because it introduces a large number of chapters that discussed the implications of different Information technology applications in business. This book contains a set of volumes which are: 1- Social Marketing and Social Media Applications, 2- Social Marketing and Social Media Applications, 3- Business and Data Analytics, 4- Corporate governance and performance, 5- Innovation, Entrepreneurship and leadership, 6- Knowledge management, 7- Machine learning, IOT, BIG DATA, Block Chain and AI, 8- Marketing Mix, Services and Branding.Table of ContentsAssessment of the Perception of Usage of Facebook as a Business Tool in SMEs through the Technological Acceptance Model (TAM) and Structural Equation Modeling.- Interdependencies and Integration of Smart Buildings and Smart Cities: A Case of Dubai.- Strategic leadership and its role on implementing public policies in the government departments in Karak Governorate.

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Book SynopsisThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.Table of ContentsExplain to Not Forget: Defending Catastrophic Forgetting with XAI.- Approximation of SHAP values for Randomized Tree Ensembles.- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning.- Effects of Fairness and Explanation on Trust in Ethical AI.- Towards Refined Classifications driven by SHAP explanations.- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration.- The ROC Diagonal is not Layperson’s Chance: a New Baseline Shows the Useful Area.- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles.- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap.- Identifying Fraud Rings Using Domain Aware Weighted Community Detection.- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation.- Semantic Causal Abstraction for Event Prediction.- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments.- Towards Generating Financial Reports From Tabular Data Using Transformers.- Evaluating the performance of SOBEK text mining keyword extraction algorithm.- Classification of Screenshot Image Captured in Online Meeting System.- A survey on the application of virtual reality in event-related potential research.- Visualizing Large Collections of URLs Using the Hilbert Curve.- How to Reduce the Time Necessary for Evaluation of Tree-based Models.- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection.- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients.- Comparing machine learning correlations to domain experts’ causal knowledge: Employee turnover use case.- Machine learning and knowledge extraction to support work safety for smart forest operations.

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Book SynopsisNowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

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Book SynopsisThis book constitutes the proceedings of the 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022, held in Turin, Italy, in September 2022.The 23 full papers presented together with 5 keynote and tutorial papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: ​keynote talk and tutorials; graph processing; time series and data streams; on line analytical processing; advanced querying; performance; machine learning; data science methods.Table of ContentsKeynote Talk and Tutorials.- Graph Processing.- Time Series and Data Streams.- On Line Analytical Processing.- Advanced Querying.- Performance.- Machine Learning.- Data Science Methods.

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Book SynopsisThis book details recent developments in the emerging area of plug-and-play (PnP) visual subgraph query interfaces (VQI). These PnP interfaces are grounded in the principles of human-computer interaction (HCI) and cognitive psychology to address long-standing limitations to bottom-up search capabilities in graph databases using traditional graph query languages, which often require domain experts and specialist programmers. This book explains how PnP interfaces go against the traditional mantra of VQI construction by taking a data-driven approach and giving end users the freedom to easily and quickly construct and maintain a VQI for any data sources without resorting to coding. The book walks readers through the intuitive PnP interface that uses templates where the underlying graph repository represents the socket and user-specified requirements represent the plug. Hence, a PnP interface enables an end user to change the socket (i.e., graph repository) or the plug (i.e., requirements) as necessary to automatically and effortlessly generate VQIs. The book argues that such a data-driven paradigm creates several benefits, including superior support for visual subgraph query construction, significant reduction in the manual cost of constructing and maintaining a VQI for any graph data source, and portability of the interface across diverse sources and querying applications. This book provides a comprehensive introduction to the notion of PnP interfaces, compares it to its classical manual counterpart, and reviews techniques for automatic construction and maintenance of these new interfaces. In synthesizing current research on plug-and-play visual subgraph query interface management, this book gives readers a snapshot of the state of the art in this topic as well as future research directions.Table of ContentsChapter 1 - The Future is Democratized Graphs.- Chapter 2 - Background.- Chapter 3 - The World of Visual Graph Query Interfaces: An Overview.- Chapter 4 - Plug-and-Play Visual Subgraph Query Interfaces.- Chapter 5 - The Building Block of PnP Interfaces: Canned Patterns.- Chapter 6 - Pattern Selection for Graph Databases.- Chapter 7 - Pattern Selection for Large Networks.- Chapter 8 - Maintenance of Patterns.- Chapter 9 - The Road Ahead.

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022, held in Bolzano, Italy, in September 2022. The 11 full papers presented together with 5 short papers were carefully reviewed and selected from 57 submissions The previous event in the series, EKAW 2020, introduced a special theme related to “Ethical and Trustworthy Knowledge Engineering.” This theme is still very relevant in 2022, and thus has remained one of the core topics of the conference.The conference concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and much more.Table of ContentsBasic Human Values and Moral Foundations Theory in ValueNet Ontology.- Extending Ontology Engineering Practices to Facilitate Application Development.- MultiAligNet: Cross-Lingual Knowledge Bridges between Words and Senses.- Question Answering with Additive Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines.- New Strategies for Training Knowledge Graph Embeddings: the Recommendation Case.- Documenting the Creation, Manipulation and Evaluation of Links for Reuse and Reproducibility.- Should we afford affordances? Injecting ConceptNet knowledge into BERT-based models to improve commonsense reasoning ability.- Towards a Knowledge Graph of Health Evolution.- Beyond Causality: Representing Event Relations in Knowledge Graphs.- Evaluating the Interpretability of Threshold Operators.- EBOCA: Evidences for BiOmedical Concepts Association Ontology.- Counter Effect Rules Mining in Knowledge Graphs.- A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets.- Human-centric Ontology Evaluation: Process and Tool Support.- Towards Pragmatic Explanations for Domain Ontologies.- Quasi-equivalent concept trade-off in ontology design: initial considerations and analyses.

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Book SynopsisThis book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI. EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use and benefit from AI, IOT and IOI to develop future strategies and actions.

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Book SynopsisHealthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.Table of Contents1. Chapter1.1. Introduction 1.2. Smart Healthcare and Telemedical System 1.2.1. Smart Healthcare Technology 1.2.2. Remote monitoring and automated healthcare system 1.2.3. Remote Care and Telehealth 1.2.4. Emergency response solution for connectivity 1.2.5. Smart Hospital Management 1.3. Telemedical Healthcare 1.3.1. Registration Phase 1.3.2. Login Phase and Mutual Authentication 1.3.3. Telemedicine Server 1.4. Intelligent Medical Care using IoT 1.5. Smart Healthcare: Challenges and Threats Conclusion References 2. Chapter 2.1. Introduction 2.2. IoT Related Sub-Components 2.2.1. Embedded programming 2.2.2. Hardware device 2.2.3. Security 2.2.4. Networking and cloud Integration 2.2.5. Data Analytics and prediction 2.2.6. Machine Learning and AI 2.3. Architecture of IoT 2.3.1. Sensors and Actuators 2.3.2. Internet gateway 2.3.3. Edge Computing IT System 2.3.4. Data Centre and Cloud 2.3.5. Application of IoT 2.3.6. Smart Homes 2.3.7. Smart Agriculture 2.3.8. Energy Management 2.3.9. Industrial Internet 2.4. IoT In Healthcare 2.4.1. Remote patient monitoring 2.4.2. Real time Data Tracking 2.4.3. Connected wearables 2.5. Internet of Medical Things (IoMT or IoMedT) 2.6. Challenges for IoMT Conclusion References 3. Chapter 3.1. Introduction 3.2. IoT Components 3.2.1. Devices/Sensors 3.2.2. Connectivity 3.2.3. Data Processing 3.2.4. User Interface 3.3. IoMedT Components 3.3.1. Patient and Payer 3.3.2. Connected Medical Devices 3.3.3. Communication Services (Connectivity) 3.3.4. Analytics Platform (Data Processing 3.3.5. Service Providers 3.4. Integration of Latest Technology with IoMedT 3.5. Benefits and Challenges of IoMedT 3.5.1. Benefits of IoMedT 3.5.2. Challenges in IoMedT Conclusion References 4. Chapter 4.1. Introduction to Smart healthcare and IoMT 4.2. Perception layer - Sensor systems for data collection 4.2.1. Gateway layer 4.2.2. Management service layer/application support layer- data storage 4.2.3. Application/service layer 4.3. IoMT: A boon in healthcare 4.4. Challenges of IoMT 4.5. Benefits of IoMT 4.6. Structural components of IoMT 4.7. Functional components of IoMT 4.8. Structural and Functional Challenges Conclusion References 5. Chapter 5.1. Introduction 5.2. Working of Blockchain 5.2.1. Distributed Database 5.2.2. A network of nodes 5.2.3. Building Trust 5.3. Benefits of Blockchain Technology 5.3.1. Time-saving 5.3.2. Cost-saving 5.3.3. Tighter security 5.4. Application of Blockchain 5.4.1. Asset Management 5.4.2. Cross-Border Payments 5.4.3. Healthcare 5.4.4. Cryptocurrency 5.4.5. Birth and Death Certificates 5.4.6. Online Identity Verification 5.4.7. Internet of Things 5.4.8. Copyright and Royalties 5.5. Application of Blockchain in Smart Healthcare 5.5.1. Research 5.5.2. Seamless switching of patients between providers 5.5.3. Faster, cheaper, better patient care 5.5.4. Interoperable electronic health records 5.5.5. Data security 5.5.6. Mobile health apps and remote monitoring 5.5.7. Tracing and securing medical supplies 5.5.8. Health insurance claims 5.5.9. Tracking diseases and outbreaks 5.5.10. Safeguarding genomics Conclusion References 6. Chapter 6.1. Introduction 6.2. Possible Security Attacks in DMR Internet of Things Networks 6.3. Security Schemes and There Challenges in DMR Conclusion References 7. Chapter 7.1. Introduction 7.2. Benefits of IoMT in Smart Healthcare 7.2.1. Cost Reduction 7.2.2. Improve Treatment 7.2.3. Faster Disease Diagnosis 7.2.4. Drug and Equipment Management 7.2.5. Error Reduction 7.3. Tools and Technique for IoMT in Smart Healthcare 7.3.1. Electronic Health Record (EHR) 7.3.2. Referral Trackers 7.3.3. Patient Portals 7.3.4. Remote Patient Monitoring 7.3.5. Computerized Provider Order Entry 7.4. Use case of IoMT in Healthcare Industry 7.4.1. Internet of things for patients 7.4.2. Internet of things for Hospitals 7.4.3. Internet of things for Physicians 7.4.4. Internet of things for Business 7.4.5. Internet of things for Health Insurance Companies 7.5. Privacy and Security Issue in IoMT 7.5.1. Patients are not in charge of their own information 7.5.2. Present to Your Own Device (BYOD) 7.5.3. Telecommuting presents security chances 7.6. Challenges of IoMT in Smart Healthcare 7.6.1. Underdeveloped Initiatives 7.6.2. Unavailability of Memory 7.6.3. Keeping Updated 7.6.4. Data Security 7.6.5. Global healthcare regulations 7.6.6. Scalable Platforms 7.6.7. Data Overloading 7.7. Impact of IoMT on the future of the healthcare industry Conclusion References 8. Chapter 8.1. Introduction 8.1.1. Big Data relation with Cloud Computing 8.1.2. Relationship between IoMT and Big Data 8.1.3. Big Data and the Internet of Medical Things 8.1.4. IoT and Cloud Computing 8.1.5. Benefits of using big data, IoT and the cloud 8.2. IoMT needs to be integrated with cloud computing 8.3. Integration of IoT and Cloud Computing 8.4. Benefits of integrating IoT and cloud computing Conclusion References 9. Chapter 9.1. Introduction 9.1.1. IoT in Smart Healthcare Systems 9.2. Background/Present state in Data security 9.2.1. Data Security requirements in Smart Healthcare Systems 9.3. Privacy and QoS in smart healthcare 9.4. Data Security and Privacy Issues in Healthcare 9.5. QoS Parameters for Smart Healthcare 9.6. Suggested Security Techniques to Preserve QoS Conclusion References 10. Chapter 10.1. Introduction 10.2. Authentication Schemes for Tele Medical Healthcare System 10.3. Processes of an authentication protocol Conclusion References 11. Chapter 11.1. Introduction 11.1.1. Security 11.1.2. Features 11.2. Types of Blockchain Networks 11.2.1. Public blockchain network 11.2.2. Private blockchain network 11.2.3. Permissioned blockchain network 11.2.4. Consortium Blockchain networks 11.3. Applications of Blockchain 11.3.1. Smart contracts 11.3.2. Involving Blockchain into Internet of Things (IOT) 11.3.3. Preventing Identity Theft 11.4. Application of Blockchain in Smart Healthcare 11.4.1. Keeping transparency in delivering healthcare goods 11.4.2. Storing of medical data of patients 11.4.3. Remote health monitoring using IOT and blockchain 11.5. Electronic Health Record (EHR) and its Storage 11.5.1. Medical Big Data Mining and Processing in e-Healthcar 11.5.2. Smart healthcare systems using big data 11.6. Significance of Blockchain in Security of Electronic Health Record (EHR) Conclusion References 12. Chapter 12.1. Introduction 12.1.1. A Different Healthcare World 12.2. Components of Telemedicine 12.2.1. Teleconsultation 12.2.2. Telementoring 12.2.3. Telemonitoring 12.3. Emerging technologies in telemedicine 12.3.1. Technologies proceeding telemedicine 12.3.2. mRNA Technology 12.3.3. Neurotechnology 12.3.4. Precision Medicine 12.3.5. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) 12.3.6. Health Wearables 12.3.7. Technology in Mental Health 12.3.8. Artificial Intelligence 12.3.9. Augmented and virtual reality 12.3.10. Tele-robots 12.3.11. IoT and nanotechnology 12.3.12. 3D Printing 12.3.13. Enhanced Access to Medical Data and Information 12.3.14. Big Data 12.3.15. Improved Lines of Communication 12.3.16. Electronic Health Records 12.3.17. Metaverse Conclusion References 13. Chapter 13.1. Introduction 13.1.1. AI and Machine Learning 13.1.2. Cloud Computing 13.1.3. Cyber security/Cloud Security 13.2. Role of Artificial Intelligence, Cloud Computing, and Internet Security in Smart Healthcare 13.2.1. Artificial Intelligence and Machine Learning (AIML) in Healthcare Systems 182 13.2.2. Early Cancer Diagnosis 13.2.3. Diagnosis of Fatal Blood Diseases 13.2.4. Customer Service Chatbots 13.2.5. Managing the Medical Records 13.2.6. Dosage Errors 13.2.7. Robotic Surgeries 13.3. Cloud Computing in Healthcare Systems 13.4. Security Challenge in Smart Healthcare Conclusion References 14. Chapter 14.1. Introduction 14.1.1. Capturing storage techniques for healthcare data 14.1.2. About Healthcare Data 14.1.3. Data storage 14.1.4. Onsite data storage 14.1.5. Public cloud data storage 14.1.6. Hybrid cloud data storage solution 14.1.7. Benefits of storing data on the cloud from multiple sources 14.2. ML-enabled storage systems 14.3. The current state of technology 14.4. Enhancing existing Enterprise Data Warehouses (EDW) 14.5. Background work 14.6. ML techniques for treatment of healthcare data 14.7. Smart access techniques for storage systems 14.8. Prediction of diseases on healthcare data, both batch, and real-time data streams 197 Conclusion References 15. Chapter 15.1. Introduction 15.2. Smart Healthcare Tools and Techniques 15.2.1. Cloud Computing in Smart Healthcare 15.2.2. Medical Records Centralization 15.2.3. Promoting Patient Engagement 15.2.4. Better Scalability 15.2.5. Cost-Effectiveness 15.2.6. Advanced Analytics for Healthcare 15.3. Current and Future application of AI, IoT, Blockchain and Cloud Computing in Smart Healthcare . 210 15.3.1. Applications of Artificial Intelligence in Smart Healthcare 15.3.2. Machine learning neural networks and deep learning 15.3.3. Physical robots 15.3.4. Natural language processing (NLP) 15.3.5. Applications of Internet of Things (IoT) in Smart Healthcare 15.3.6. Applications of Blockchain in Smart Healthcare 15.3.7. Applications of Cloud Computing in Smart Healthcare 15.4. Challenges in Smart Healthcare 15.4.1. Availability 15.4.2. Data Centralization 15.4.3. Privacy/Security 15.4.4. Open Access 15.5. Future of Smart Healthcare and Telemedicine Conclusion References

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Book SynopsisThis textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success. Topics and features: Focuses on approaches supported by mathematical arguments, rather than sole computing experiences Investigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from them Considers key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithms Examines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problem Addresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrization Investigates the mathematical principles involves with natural language processing and computer vision Keeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire book Although this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations “beyond” the sole computing experience.Table of Contents1. Data Science and its Tasks.- 2. Application Specific Mappings and Measuring the Fit to Data.- 3. Data Processing by Neural Networks.- 4. Learning and Generalization.- 5. Numerical Algorithms for Network Learning.- 6. Specific Problems of Natural Language Processing.- 7. Specific Problems of Computer Vision.

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Book SynopsisThis book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Through thorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The collected research results could be useful alternatives and implications for industry experts, research institutions, universities, and all others who share a common interest in the future global sustainable development.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th International Conference onSubject-Oriented Business Process Management, S-BPM ONE 2022, held in Karlsruhe, Germany, during June 29–July 1, 2022.The 7 full papers and 4 short papers included in this book were carefully reviewed andselected from 15 submissions. They were organized in topical sections as follows: technology; application; and short papers.Table of Contents​Technology.- Privacy by Sharing Autonomy –A Design-Integrating Engineering Approach.- An Im- and Export Library for the Subject-Oriented Exchange Standard.- Understanding and Harnessing the Potential of Conversational AI for S-BPM.- Application.- A Comparative Study of Simulation Tools for Business Processes.- Subject-oriented process models of SMEs: Best practices and evaluation.- Business Process Management Bridging Marketing and IT: Transformation Model for Customer Journey Maps and BPMN.- A Co-Evolution Model of Collaborative Process Design.- Short Papers.- A Single Point of Contact for Privacy Management in Cyber-Physical Systems.- Subject-Oriented Modelling of VDI-4520: A First Draft.- Organizing a Self-Organized Team: Towards a Maturity Model for Agile Business Process Management.- Are BPM Practitioners and Researchers Friends? Current Questions of Process Professionals and the Impact of Science.

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Book SynopsisThis book constitutes the proceedings of the 20th International Conference of the International Graphonomics Society, IGS 2021/2022. Originally planned to be celebrated in September 2021, due to the COVID-19 pandemic it was held in June 2022.The 36 full and 3 short papers presented at the conference were carefully reviewed and selected from 41 submissions and reviewed by a committee of 67 reviewers. Out of the 41 conferences, 26 papers were selected to be published in this proceedings. The program was comprised of 6 oral sessions on the following topics: historical documents, forensic handwriting examinations, handwriting learning and development, and motor control. One additional poster session included papers on all previous topics, and three special sessions included papers on neurodegenerative disorders.Table of ContentsForensic Handwriting Examination.- Forensic Handwriting Examination at IGS conferences: A review by numbers.- Impact of Writing Order Recovery in Automatic Signature Verification.- Spiral based Run-Length Features for Offline Signature Verification.- Historical Documents.- Transcript Alignment for Historical Handwritten Documents: The MiM Algorithm.- Improving handwriting recognition for historical documents using synthetic text lines.- Writer Retrieval and Writer Identification in Greek Papyri.- Handwriting Learning And Development.- Enhanced Physiological Tremor in Normal Ageing: Kinematic and Spectral Analysis of Elderly Handwriting.- Comparison between two Sigma-Lognormal extractors with primary schools students handwriting.- Effects of a graphomotor intervention on the Graphic Skills of children: an analysis with the Sigma-Lognormal model.- Copilotrace: a platform to process graphomotor tasks for education and graphonomics research.- Automatic Age Detection from Handwritten Documents.- Measuring the Big Five Factors from Handwriting using Ensemble Learning Model AvgMlSC.- Recognition of Psychological Wartegg Hand-drawings.- Motor Control.- iDeLog3D: Sigma-Lognormal Analysis of 3DHuman Movements.- Should we look at curvature or velocity to extract a Motor Program?.- The RPM3D project: 3D Kinematics for Remote Patient Monitoring.- Age Reduces Motor Asymmetry in Graphic Task.- Motor Movement Data Collection from Older People with Tablets and Digital Pen-based Input Devices.- Handwriting For Neurodegenerative Disorders.- Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties.- Generation of synthetic drawing samples to diagnose Parkinson's disease.- Early dementia identification: on the use of random handwriting strokes.- Spectral Analysis of Handwriting Kinetic Tremor in Elderly Parkinsonian Patients.- Exploration of Various Fractional Order Derivatives in Parkinson’s Disease Dysgraphia Analysis.- Lognormal features for early Diagnosis of Alzheimer’s Disease through handwriting analysis.- Easing Automatic Neurorehabilitation via Classification and Smoothness Analysis.- Signature Execution in Alzheimer’s disease: an analysis of motor features

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