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Integrated Uncertainty in Knowledge Modelling and Decision Making: 11th International Symposium, IUKM 2025, Ho Chi Minh City, Vietnam, March 17–19, 2025, Proceedings, Part II (Lecture Notes in Computer Science #15586)
by Van-Nam Huynh Masahiro Inuiguchi Bac Le Katsuhiro Honda Hieu T. HuynhThis two-volume set constitutes the proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025, held in Ho Chi Minh City, Vietnam, during March 17-19, 2025. The 55 full papers in this book were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: Part I: Invited Talks; Machine Learning; Pattern Recognition and Data Analysis; Applications. Part II: Uncertainty Management and Decision Making; Optimization and Statistical Methods; Applications.
Integrated Uncertainty in Knowledge Modelling and Decision Making: 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings (Lecture Notes in Computer Science #10758)
by Van-Nam Huynh Thierry Denoeux Masahiro Inuiguchi Dang Hung TranThis book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018.The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.
Integrated Uncertainty in Knowledge Modelling and Decision Making: 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings (Lecture Notes in Computer Science #11471)
by Van-Nam Huynh Masahiro Inuiguchi Hirosato Seki Canh Hao NguyenThis book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019.The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods.
Integrating Data Science and Earth Science: Challenges and Solutions (SpringerBriefs in Earth System Sciences)
by Laurens M. Bouwer Doris Dransch Roland Ruhnke Diana Rechid Stephan Frickenhaus Jens GreinertThis 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.
Integrating Research on the Graphical Representation of Functions (Studies in Mathematical Thinking and Learning Series)
by Thomas P. Carpenter Elizabeth Fennema Thomas A. RombergThis volume focuses on the important mathematical idea of functions that, with the technology of computers and calculators, can be dynamically represented in ways that have not been possible previously. The book's editors contend that as result of recent technological developments combined with the integrated knowledge available from research on teaching, instruction, students' thinking, and assessment, curriculum developers, researchers, and teacher educators are faced with an unprecedented opportunity for making dramatic changes. The book presents content considerations that occur when the mathematics of graphs and functions relate to curriculum. It also examines content in a carefully considered integration of research that conveys where the field stands and where it might go. Drawing heavily on their own work, the chapter authors reconceptualize research in their specific areas so that this knowledge is integrated with the others' strands. This model for synthesizing research can serve as a paradigm for how research in mathematics education can -- and probably should -- proceed.
Integrating Routing Decisions in Public Transportation Problems
by Marie E. SchmidtThis book treats three planning problems arising in public railway transportation planning: line planning, timetabling, and delay management, with the objective to minimize passengers' travel time. While many optimization approaches simplify these problems by assuming that passengers' route choice is independent of the solution, this book focuses on models which take into account that passengers will adapt their travel route to the implemented planning solution. That is, a planning solution and passengers' routes are determined and evaluated simultaneously. This work is technically deep, with insightful finding regarding complexity and algorithmic approaches to public transportation problems with integrated passenger routing. It is intended for researchers in the fields of mathematics, computer science, or operations research, working in the field of public transportation from an optimization standpoint. It is also ideal for students who want to gain intuition and experience in doing complexity proofs and designing polynomial-time algorithms for network problems. The book models line planning, timetabling and delay management as combined design and routing problems on networks. In a complexity analysis, the border between NP-hard and polynomially solvable problems is illustrated. Based on that, the insights gained are used to develop solution approaches for the considered problems. Besides integer programming formulations, a heuristic method iterating planning and routing step is proposed to solve the problems.
Integrating a Usable Security Protocol into User Authentication Services Design Process
by Ahmed Seffah Christina Braz Bilal NaqviThere is an intrinsic conflict between creating secure systems and usable systems. But usability and security can be made synergistic by providing requirements and design tools with specific usable security principles earlier in the requirements and design phase. In certain situations, it is possible to increase usability and security by revisiting design decisions made in the past; in others, to align security and usability by changing the regulatory environment in which the computers operate. This book addresses creation of a usable security protocol for user authentication as a natural outcome of the requirements and design phase of the authentication method development life cycle.
Integration Theory (Chapman And Hall Mathematics Ser. #454)
by K. WeberThis introductory text acts as a singular resource for undergraduates learning the fundamental principles and applications of integration theory.Chapters discuss: function spaces and functionals, extension of Daniell spaces, measures of Hausdorff spaces, spaces of measures, elements of the theory of real functions on R.
Integration and Cubature Methods: A Geomathematically Oriented Course (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Willi Freeden Martin GuttingIn industry and economics, the most common solutions of partial differential equations involving multivariate numerical integration over cuboids include techniques of iterated one-dimensional approximate integration. In geosciences, however, the integrals are extended over potato-like volumes (such as the ball, ellipsoid, geoid, or the Earth) and their boundary surfaces which require specific multi-variate approximate integration methods. Integration and Cubature Methods: A Geomathematically Oriented Course provides a basic foundation for students, researchers, and practitioners interested in precisely these areas, as well as breaking new ground in integration and cubature in geomathematics.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28–31, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14742)
by Bistra DilkinaThis book constitutes the proceedings of the 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024, held in Uppsala, Sweden, during May 28–31, 2024. The 33 full papers and the 9 short papers presented in the proceedings were carefully reviewed and selected from a total of 104 submissions. The content of the papers focus on new techniques or applications in the area and foster the integration of techniques from different fields dealing with large and complex problems.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28–31, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14743)
by Bistra DilkinaThis book constitutes the proceedings of the 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024, held in Uppsala, Sweden, during May 28–31, 2024.The 33 full papers and the 9 short papers presented in the proceedings were carefully reviewed and selected from a total of 104 submissions. The content of the papers focus on new techniques or applications in the area and foster the integration of techniques from different fields dealing with large and complex problems.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part I (Lecture Notes in Computer Science #15762)
by Guido TackThis two-volume set LNCS 15762-15763 constitutes the proceedings of the 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2025, held in Melbourne, VIC, Australia, November 10–13, 2025.The 30 full papers and the 2 short papers presented in the proceedings were carefully reviewed and selected from a total of 68 submissions.The conference featured a masterclass and several joint invited talks that covered topics of interest at the intersection of constraint programming, artificial Intelligence, operations research, planning and scheduling, and knowledge representation.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part II (Lecture Notes in Computer Science #15763)
by Guido TackThis two-volume set LNCS 15762-15763 constitutes the proceedings of the 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2025, held in Melbourne, VIC, Australia, November 10–13, 2025.The 30 full papers and the 2 short papers presented in the proceedings were carefully reviewed and selected from a total of 68 submissions.The conference featured a masterclass and several joint invited talks that covered topics of interest at the intersection of constraint programming, artificial Intelligence, operations research, planning and scheduling, and knowledge representation.
Integration, Measure and Probability
by H. R. PittThis text provides undergraduate mathematics students with an introduction to the modern theory of probability as well as the roots of the theory's mathematical ideas and techniques. Centered around the concept of measure and integration, the work is applicable to other branches of analysis and explores more specialized topics, including convergence theorems and random sequences and functions. 1963 edition.
Integrative Problem-Solving in a Time of Decadence
by George ChristakosPresents a unique study of Integrative Problem-Solving (IPS). The consideration of 'Decadence' is essential in the scientific study of environmental and other problems and their rigorous solution, because the broad context within which the problems emerge can affect their solution. Stochastic reasoning underlines the conceptual and methodological framework of IPS, and its formulation has a mathematical life of its own that accounts for the multidisciplinarity of real world problems, the multisourced uncertainties characterizing their solution, and the different thinking modes of the people involved. Only by interpolating between the full range of disciplines (including stochastic mathematics, physical science, neuropsychology, philosophy, and sociology) and the associated thinking modes can scientists arrive at a satisfactory account of problem-solving, and be able to distinguish between a technically complete problem-solution, and a solution that has social impact.
Integrative Statistics for the Social and Behavioral Sciences
by Renee R. Ha James C. HaDesigned to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.
Integrity of Randomized Clinical Trials: How to prevent research misconduct and ensure transparency
by Khalid S. KhanToday, scientists are expected to be more accountable and transparent than at any other time in history. Globally, the pursuit of knowledge creation enjoys a place of distinction, and the public expects to reap considerable benefits from the innovative contributions made by researchers. It is, therefore, more important than ever that ethics, transparency, and professionalism explicitly guide research integrity.Despite the clear importance of acquiring a fundamental understanding of clinical trials in the context of health research and innovation, medical training generally fails to cover clinical trial integrity in its curriculum, including it neither at the undergraduate nor at the postgraduate levels. This new book provides a curriculum to address this gap, offering best practice guidelines to improve the quality, openness, and trustworthiness of clinical trials and filling a current void in the market.Key Features: The first book on clinical trial integrity Provides clear guidance on how to ensure probity in peer review, appraisal of trials, and investigation of complaints concerning misconduct in clinical trials Trains and supports researchers globally on how to undertake trials with integrity Ensures that the increasing demand for public documentation of all aspects throughout the lifecycle of a clinical trial can be met This book is essential reading for master and doctoral students undertaking courses in clinical trials, epidemiology, and medical statistics and an invaluable reference for medical journal editors and peer reviewers, clinicians who recruit patients into trials, pharmaceutical industry professionals, patient and public representatives who engage in clinical trials, systematic reviewers, guideline writers, and funders and regulators of clinical trials.
Integro-Differential Elliptic Equations (Progress in Mathematics #350)
by Xavier Ros-Oton Xavier Fernández-RealThis monograph offers a self-contained introduction to the regularity theory for integro-differential elliptic equations, mostly developed in the 21st century. This class of equations finds relevance in fields such as analysis, probability theory, mathematical physics, and in several contexts in the applied sciences. The work gives a detailed presentation of all the necessary techniques, with a primary focus on the main ideas rather than on proving all the results in their greatest generality. The basic building blocks are presented first, with the study of the square root of the Laplacian, and weak solutions to linear equations. Subsequently, the theory of viscosity solutions to nonlinear equations is developed, and proofs are provided for the main known results in this context. The analysis finishes with the investigation of obstacle problems for integro-differential operators and establishes the regularity of solutions and free boundaries. A distinctive feature of this work lies in its presentation of nearly all covered material in a monographic format for the first time, and several proofs streamline, and often simplify, those in the original papers. Furthermore, various open problems are listed throughout the chapters.
Integrodifference Equations in Spatial Ecology (Interdisciplinary Applied Mathematics #49)
by Frithjof LutscherThis book is the first thorough introduction to and comprehensive treatment of the theory and applications of integrodifference equations in spatial ecology. Integrodifference equations are discrete-time continuous-space dynamical systems describing the spatio-temporal dynamics of one or more populations. The book contains step-by-step model construction, explicitly solvable models, abstract theory and numerical recipes for integrodifference equations. The theory in the book is motivated and illustrated by many examples from conservation biology, biological invasions, pattern formation and other areas. In this way, the book conveys the more general message that bringing mathematical approaches and ecological questions together can generate novel insights into applications and fruitful challenges that spur future theoretical developments. The book is suitable for graduate students and experienced researchers in mathematical ecology alike.
Intellectual Development and Mathematics Learning
by Chongde LinThis book introduces the outcomes of author’s 40 years of research, especially the theory of “the Triangular Pyramid Structure of Thinking” that he independently proposed, and the application of his development theory in the field of mathematics education. The book firstly explains the substantial character of intelligence, the development law of intelligence, and the relationship between intelligence development and creativity cultivation. Secondly, it discusses the structure of mathematical thinking of children and adolescents from 0 to 18 years old, and the methods of developing students’ thinking ability and the quality of intelligence through arithmetic learning. In the end, this book also demonstrates the characteristics of the development of mathematical thinking ability of children at age 0-6, elementary school students, and secondary school students, and the related latest research in this field. Based on the theory of “the Triangular Pyramid Structure of Thinking”, a number of examples are given to illustrate how the theory of intelligence development can be used in mathematics teaching to promote the development of students’ thinking abilities and to improve the quality of teaching.This book covers various areas including psychology, mathematics, and education. It has a great reference value for scholars in the field of psychology to study the theory of intelligence and the structure of thinking, providing guidance for parents and mathematics teachers to promote children’s quality of intelligence and mathematical thinking abilities, and to enhance their mathematics learning effects. In addition, it provides examples for psychological research to serve specific subject teaching in elementary and secondary schools.
Intellectual Property Statistics: Measuring Framework for Standards and Trade in Ideas (Contributions to Economics)
by Eskil UllbergPatents and other intellectual property (IP) rights are increasingly part of cross-border trade in their own rights. Patent transfers and patent licensing between inventors, investors and innovators create new business strategies of cooperation in the creation of new technology – increasing the productivity in the stock of technology assets – and efficient “distribution” of these rights. The rights bundles are then used – also increasingly – in products and services being traded cross-border, furthering economic efficiency created by this cooperative strategy. Today’s international trade statistics, however, lack statistics explicitly on trade flows from ideas, based on IP rights. This book offers an idea based statistical framework to measure IP, (i.e., increasingly depends on trade in ideas) and explores ways to introduce the framework into international standards. Specifically, it offers a theory of value to measure the flows from IP and an asset view of IP to deal with allocation of resources and who owns these rights. This is then contrasted with the current way IP is treated and a “gap analysis” is used to identify what needs to change in the standards. This new framework can help develop theories, policies, practices and inform the decisions needed to better leverage the human capital formation of inventors everywhere. Praise for Intellectual Property Statistics… “In this book, Prof. Ullberg has undertaken a Herculean task – to lay out a paradigm for the collection of IP Statistics to ensure that the … market of trade in ideas has the information and data necessary to function well. [the] volume should be viewed as a starting point, a work in progress, but an important one that could very well influence the development of this important set of data on trade in ideas. At a time when global issues … require both new ideas and the spread of those ideas widely to help ensure both economic growth and continued global economic convergence data that helps us monitor and evaluate what is happening in trade in ideas will be extremely valuable.” – Robert Koopman, American University, Washington, DC, USA and Former Chief Economist, World Trade Organization, Geneva, Switzerland
Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2146)
by Yong Liu Kangshun LiThis two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.
Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2147)
by Yong Liu Kangshun LiThis two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.
Intelligence Optimization for Green Scheduling in Manufacturing Systems (Engineering Applications of Computational Methods #18)
by Liang Gao Xinyu Li Chao Lu Lvjiang YinThis book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.
Intelligent Bridge Maintenance and Management: Emerging Digital Technologies (Springer Tracts in Civil Engineering)
by Gang Wu Ji Dang ZhiQiang ChenThis book provides a timely introduction to the methodology of Intelligent Bridge Maintenance and Management (IBM&M) and a comprehensive synthesis of emerging digital technologies for realizing IBM&M. The authors, who carry research, teaching, and consulting experience in the USA, Japan, and China, present the background, principles, methods, and application examples of essential IBM&M solutions in eight dedicated chapters. The digital technologies covered in this book include: • Artificial intelligence, big data, machine learning, computer vision. • Data fusion, 3D building information, digital twin modeling, virtual and augmented reality. • Internet of things sensors, robotics including unmanned vehicles. The book targets the audience in the broader Bridge Engineering community, including academic researchers, students, bridge owners, and technology providers.