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Information Technology for Management: ITBS 2023 Main Track and ISM 2023 Thematic Track, Held as Part of FedCSIS 2023, Warsaw, Poland, September 17–20, 2023, Extended and Revised Selected Papers (Lecture Notes in Business Information Processing #504)
by Ewa Ziemba Witold Chmielarz Jarosław WątróbskiThe present book includes extended and revised versions of a set of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2023, and two Thematic Tracks: Information System Management, ISM 2023, and Knowledge Acquisition and Management, KAM 2023, held in Poland, Warsaw, during September 17- 20, 2023. ITBS 2023 received 26 submissions, from which 6 full papers and 2 short papers have been accepted; for ISM 2023 3 full papers and 1 short paper have been accepted from 21 submissions; and for KAM 2023 1 full paper has been accepted from 7 submissions. From the 6 submissions to DSH 2023, no paper passed the extended reviews. The accepted papers are grouped in sections on IT in Improving of Management Systems, Approaches to Improving of Social Problems, and Methods of Solving Business.
The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity (AAP Advances in Artificial Intelligence and Robotics)
by M. A. Jabbar Sanju Tiwari Subhendu Kumar Pani Stephen HuangWith the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more.
The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity (AAP Advances in Artificial Intelligence and Robotics)
by M. A. Jabbar Sanju Tiwari Subhendu Kumar Pani Stephen HuangWith the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more.
Efficient Online Incentive Mechanism Designs for Wireless Communications (SpringerBriefs in Computer Science)
by Gang Li Jun CaiThis book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users’ energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions. The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing knowledge gaps by comprehensively presenting and developing fundamental insights into online incentive mechanisms and their design methods in the realm of wireless communications. It’s one of the first books to provide a comprehensive understanding of the fundamental principles of online incentive mechanisms and their intricately designed methods in the dynamic world of wireless communications. Future research directions include an investigation in the evolving domain of online incentive mechanism designs within wireless communications. This book strikes a balance between theoretical knowledge and practical application, making it a valuable resource for both researchers and practitioners in the field of wireless communications and network economics. Advanced-level students majoring in computer science and/or electrical engineering will want to purchase this book as a study guide.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 23rd International Conference, NEW2AN 2023, and 16th Conference, ruSMART 2023, Dubai, United Arab Emirates, December 21–22, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14542)
by Yevgeni Koucheryavy Ahmed AzizThis book constitutes the refereed proceedings of the 23rd International Conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and the 16th Conference on Internet of Things and Smart Spaces, ruSMART 2023, held in Dubai, United Arab Emirates, in December 21–22, 2023. The 67 full papers included in the joint proceedings were carefully reviewed and selected from 258 submissions. They present a unique cross-disciplinary mixture of telecommunications-related research and science, various aspects of next generation data networks, while special attention is given to advanced wireless networking and applications.
NASA Formal Methods: 16th International Symposium, NFM 2024, Moffett Field, CA, USA, June 4–6, 2024, Proceedings (Lecture Notes in Computer Science #14627)
by Nathaniel Benz Divya Gopinath Nija ShiThis LNCS 14627 conference volume constitutes the proceedings of the 16th International Symposium on NASA Formal Methods, NFM 2024, held in Moffett Field, CA, USA in June 2024. The 20 full papers together with 6 short papers included in this volume were carefully reviewed and selected from 68 submissions. The conference focuses on the on formal techniques for software and system assurance for applications in space, aviation, robotics, and other NASA-relevant safety-critical systems.
Stochastic Optimization Methods: Applications in Engineering and Operations Research
by Kurt MartiThis book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into corresponding deterministic problems.Due to the probabilities and expectations involved, the book also shows how to apply approximative solution techniques. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, and differentiation formulas for probabilities and expectations.The fourth edition of this classic text has been carefully and thoroughly revised. It includes new chapters on the solution of stochastic linear programs by discretization of the underlying probability distribution, and on solving deterministic optimization problems by means of controlled random search methods and multiple random search procedures. It also presents a new application of stochastic optimization methods to machine learning problems with different loss functions. For the computation of optimal feedback controls under stochastic uncertainty, besides the open-loop feedback procedures, a new method based on Taylor expansions with respect to the gain parameters is presented. The book is intended for researchers and graduate students who are interested in stochastics, stochastic optimization, and control. It will also benefit professionals and practitioners whose work involves technical, economicand/or operations research problems under stochastic uncertainty.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 23rd International Conference, NEW2AN 2023, and 16th Conference, ruSMART 2023, Dubai, United Arab Emirates, December 21–22, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14543)
by Yevgeni Koucheryavy Ahmed AzizThis book constitutes the refereed proceedings of the 23rd International Conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and the 16th Conference on Internet of Things and Smart Spaces, ruSMART 2023, held in Dubai, United Arab Emirates, in December 21–22, 2023. The 67 full papers were carefully reviewed and selected from 258 submissions. The NEW2AN 2023 is well-established conference with a unique cross-disciplinary mixture of telecommunications-related research and science, various aspects of next generation data networks, while special attention is given to advanced wireless networking and applications.
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
by Masashi SugiyamaReinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. The book provides a bridge between RL and data mining and machine learning research.
Knowledge Science: Modeling the Knowledge Creation Process
by Yoshiteru NakamoriExplaining how to improve our knowledge-based society, this book addresses problems in collecting, synthesizing, coordinating, and creating knowledge. It provides knowledge engineering tools and a framework for integrating knowledge creation, discovery, and management. The text covers knowledge technology, knowledge management, knowledge discovery and data mining, knowledge synthesis, knowledge justification, and knowledge construction. Experienced researchers in decision science, artificial intelligence, systems engineering, behavioral science, and management science present new methods for creating technological innovation from existing knowledge, such as IT techniques, organizational theory, and mathematical systems theory.
The Art of Image Processing with Java
by Kenny A. HuntThis introductory image processing text is ideal for college students studying computer science or software engineering. With an emphasis on software design, the text builds on an accessible mathematical foundation and on extensive sample Java code to teach students the fundamentals of image processing. The text is accompanied by rich illustrations that demonstrate the results of performing processing on famous art pieces. This approach gives readers real-world examples of ways they may use image processing. Each chapter includes problems for students, and an online supplement offers instructor resources.
Handbook of 3D Machine Vision: Optical Metrology and Imaging (Series in Optics and Optoelectronics)
by Song ZhangChoosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to consult. Filling this gap, this handbook gives an in-depth look at the most popular 3D imaging techniques. Written by key players in the field and inventors of important imaging technologies, it helps you understand the core of 3D imaging technology and choose the proper 3D imaging technique for your needs. For each technique, the book provides its mathematical foundations, summarizes its successful applications, and discusses its limitations.
Intelligent Technologies for Web Applications
by Rajendra Akerkar Priti Srinivas SajjaThis reference presents both fundamental and advanced topics and related to Web operations. Using an integrated approach, the authors describe the basics as well as latest trends in the area. They cover agent-based Web, wrapper induction, Web mining, information retrieval, Web knowledge management, and social networks. The text includes a host of examples and over 100 illustrations that clarify complex material. It also contains many bibliographical notes, end-of-chapter exercises, glossaries, and practice questions with solutions/hints.
Knowledge Science: Modeling the Knowledge Creation Process
by Yoshiteru NakamoriExplaining how to improve our knowledge-based society, this book addresses problems in collecting, synthesizing, coordinating, and creating knowledge. It provides knowledge engineering tools and a framework for integrating knowledge creation, discovery, and management. The text covers knowledge technology, knowledge management, knowledge discovery and data mining, knowledge synthesis, knowledge justification, and knowledge construction. Experienced researchers in decision science, artificial intelligence, systems engineering, behavioral science, and management science present new methods for creating technological innovation from existing knowledge, such as IT techniques, organizational theory, and mathematical systems theory.
Handbook of 3D Machine Vision: Optical Metrology and Imaging (Series in Optics and Optoelectronics)
by Song ZhangChoosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to consult. Filling this gap, this handbook gives an in-depth look at the most popular 3D imaging techniques. Written by key players in the field and inventors of important imaging technologies, it helps you understand the core of 3D imaging technology and choose the proper 3D imaging technique for your needs. For each technique, the book provides its mathematical foundations, summarizes its successful applications, and discusses its limitations.
**Missing** (Sybex Study Guide)
by David Seidl Mike ChappleThe only official study guide for the new CCSP exam objectives effective from 2022-2025 (ISC)2 CCSP Certified Cloud Security Professional Official Study Guide, 3rd Edition is your ultimate resource for the CCSP exam. As the only official study guide reviewed and endorsed by (ISC)2, this guide helps you prepare faster and smarter with the Sybex study tools that include pre-test assessments that show you what you know, and areas you need further review. In this completely rewritten 3rd Edition, experienced cloud security professionals Mike Chapple and David Seidl use their extensive training and hands on skills to help you prepare for the CCSP exam. Objective maps, exercises, and chapter review questions help you gauge your progress along the way, and the Sybex interactive online learning environment includes access to a PDF glossary, hundreds of flashcards, and two complete practice exams. Covering all CCSP domains, this book walks you through Cloud Concepts, Architecture and Design, Cloud Data Security, Cloud Platform and Infrastructure Security, Cloud Application Security, Cloud Security Operations, and Legal, Risk, and Compliance with real-world scenarios to help you apply your skills along the way. The CCSP credential from (ISC)2 and the Cloud Security Alliance is designed to show employers that you have what it takes to keep their organization safe in the cloud. Learn the skills you need to be confident on exam day and beyond. Review 100% of all CCSP exam objectives Practice applying essential concepts and skills Access the industry-leading online study tool set Test your knowledge with bonus practice exams and moreAs organizations become increasingly reliant on cloud-based IT, the threat to data security looms larger. Employers are seeking qualified professionals with a proven cloud security skillset, and the CCSP credential brings your resume to the top of the pile. (ISC)2 CCSP Certified Cloud Security Professional Official Study Guide gives you the tools and information you need to earn that certification and apply your skills in a real-world setting.
Computational Neuroscience: 4th Latin American Workshop, LAWCN 2023, Envigado, Colombia, November 28–30, 2023, Revised Selected Papers (Communications in Computer and Information Science #2108)
by Vinícius Rosa Cota Jaime A. Riascos Salas Hernán Villota Daniel Betancur VasquezThis book constitutes the refereed proceedings of the 4th Latin American Workshop, LAWCN 2023, held in Envigado, Colombia, during November 28–30, 2023. The 8 full papers and 2 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and machine learning; computational neuroscience; and brain-computer interfaces.
Next Generation Data Science: Second Southwest Data Science Conference, SDSC 2023, Waco, TX, USA, March 24–25, 2023, Revised Selected Papers (Communications in Computer and Information Science #2113)
by Henry Han Erich BakerThis book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March 24-25, 2023. The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering.
Advances in Artificial Intelligence in Manufacturing: Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing, September 19, 2023, Kaiserslautern, Germany (Lecture Notes in Mechanical Engineering)
by Sotiris Makris Kosmas Alexopoulos Achim WagnerThis book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the first European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers.
Industrial Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)
by Shelemyahu Zacks Ron S. Kenett Peter GedeckThis innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others.The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, data sets, and applications to supplement learning.Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included.A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions,and supervised and unsupervised learning. These texts can be used independently or for consecutive courses.The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/."This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and "hot topics" like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applications."Professor Fabrizio RuggeriResearch Director at the National Research Council, ItalyPresident of the International Society for Business and Industrial Statistics (ISBIS)Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)
Python for Accounting and Finance: An Integrative Approach to Using Python for Research
by Sunil KumarThis book is a comprehensive guide to the application of Python in accounting, finance, and other business disciplines. This book is more than a Python tutorial; it is an integrative approach to using Python for practical research in these fields. The book begins with an introduction to Python and its key libraries. It then covers real-world applications of Python, covering data acquisition, cleaning, exploratory data analysis, visualization, and advanced topics like natural language processing, machine learning, predictive analytics, and deep learning. What sets this book apart is its unique blend of theoretical knowledge and real-world examples, supplemented with ready-to-use code. It doesn't stop at the syntax; it shows how to apply Python to tackle actual analytical problems. The book uses case studies to illustrate how Python can enhance traditional research methods in accounting and finance, not only allowing the reader to gain a firm understanding of Pythonprogramming but also equipping them with the skills to apply Python to accounting, finance, and broader business research. Whether you are a PhD student, a professor, an industry professional, or a financial researcher, this book provides the key to unlocking the full potential of Python in research.
Law Enforcement Strategies for Disrupting Cryptomarkets: A Practical Guide to Network Structure, Trust Dynamics, and Agent-Based Modelling Approaches
by Barak Ariel Vincent HarinamThis book investigates the recent history of the drug market on the dark web and suggests interventions that can be used to curb the trade of illegal products in the internet's underbelly. It outlines the current landscape of this market, highlighting: • What is known about drug markets on the dark web. • How transactions involving illicit goods occur in cryptomarkets. • How the illegal trade of drugs is conducted in the dark web. • The role of blockchain technology in these transactions. The chapters that follow identify effective methods suppliers and purchasers employ to trade under conditions of uncertainty. They explore the role that trust plays in network structures and vendor selections for drug markets. The volume includes a review of the targeting strategies available for law enforcement and offers new solutions to target the trade of illicit goods on the dark web. It is ideal for law enforcement officers and practitioners combatting cybercrime.
Mechatronics – Industry-Inspired Advances (Lecture Notes in Networks and Systems #1042)
by Adam Martowicz Michał Mańka Krzysztof MendrokThis book addresses the key aspects concerning the rapid development of mechatronics. It also helps to understand the respective great significance of cooperation between researchers and professionals. Mechatronics is crucial for many areas of life. However, its invaluable contribution is particularly seen in the Fourth Industrial Revolution (Industry 4.0). In response to the current issues in mechatronics, the 6th International Conference Mechatronics 2023: Ideas for Industrial Applications was organized from 11 to 13 December 2023 in Krakow, Poland. The following topics were discussed: artificial intelligence, robotics, image processing, software, control systems, space applications, modeling and identification of mechatronic systems, smart materials, and prototype construction with 3D printing. This book provides the solutions ready for implementation in industry. These solutions grew out of the ideas exchange between the Conference attendees representing various backgrounds.
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III (Lecture Notes in Computer Science #14171)
by Elena Baralis Francesco Bonchi Danai Koutra Claudia Plant Manuel Gomez RodriguezThe multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo. Chapter 41 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
Introduction to Game Programming using Processing: For Designers, Artists, Players, Non-Tech People and Everybody Else
by Daniel Cermak-SassenrathThis is an introductory textbook focusing on games (specifically interaction and graphics) as a pathway into programming. It empowers readers to do basic programming, prototyping, game creation, and other highly interactive applications, all from scratch and without any prior programming knowledge.Using the popular programming language Processing, this book describes, explains, and demonstrates the basic and general programming principles and mechanisms used in typical game algorithms and concrete game projects. Chapters cover basic graphics, text output, loops, data types and variables, movement, time, audio and sound, debugging, classes and objects, event-based programming, real-time input controls, computer speed compensation, animation, tiling, scrolling, collision detection, basic AI, and much more. Additional support materials such as code examples and demo programs are available to download from this book’s webpage.This book is a great resource for students and aspiring professionals looking for an approachable entry into game programming.