- Table View
- List View
Advances in Applied Microeconomics: International Conference on Applied Economics (ICOAE) 2024, Belgrade, Republic of Serbia, July 11-13, Vol 1 (Springer Proceedings in Business and Economics)
by Nicholas Tsounis Aspasia VlachveiThis volume presents new research and trends in applied economic research with special interest in advances in applied macroeconomics. It features contributions presented at the 2024 International Conference on Applied Economics (ICOAE) held in Belgrade, Republic of Serbia including country specific studies from 40 different countries. The contents of this volume are of interest to researchers, scholars, academics, and policy makers within applied microeconomics.
Advances in Applied Strategic Mine Planning
by Roussos DimitrakopoulosThis book presents is a collection of papers in the field of strategic mine planning, including orebody modelling, mine planning optimization and the optimization of mining complexes. The work includes papers (a) describing the newest technologies and related research; and (b) applications of a range of related technologies in diverse industrial applications elaborating upon the state of the art in the field.
Advances in Architectural Geometry 2014
by Philippe Block Jan Knippers Niloy J. Mitra Wenping WangThis book contains 24 technical papers presented at the fourth edition of the Advances in Architectural Geometry conference, AAG 2014, held in London, England, September 2014. It offers engineers, mathematicians, designers, and contractors insight into the efficient design, analysis, and manufacture of complex shapes, which will help open up new horizons for architecture. The book examines geometric aspects involved in architectural design, ranging from initial conception to final fabrication. It focuses on four key topics: applied geometry, architecture, computational design, and also practice in the form of case studies. In addition, the book also features algorithms, proposed implementation, experimental results, and illustrations. Overall, the book presents both theoretical and practical work linked to new geometrical developments in architecture. It gathers the diverse components of the contemporary architectural tendencies that push the building envelope towards free form in order to respond to multiple current design challenges. With its introduction of novel computational algorithms and tools, this book will prove an ideal resource to both newcomers to the field as well as advanced practitioners.
Advances in Artificial Economics (Lecture Notes in Economics and Mathematical Systems #676)
by Benoit Gaudou Frédéric Amblard Francisco J. Miguel Adrien BlanchetThe book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The grounding principle of artificial economics is the analysis of aggregate properties of simulated systems populated by interacting adaptive agents that are equipped with heterogeneous individual behavioral rules. These macroscopic properties are neither foreseen nor intended by the artificial agents but generated collectively by them. They are emerging characteristics of such artificially simulated systems.
Advances in Artificial Intelligence – IBERAMIA 2022: 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23–25, 2022, Proceedings (Lecture Notes in Computer Science #13788)
by Ana Cristina Bicharra Garcia Mariza Ferro Julio Cesar Rodríguez RibónThis book constitutes the refereed proceedings of the 17th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2022, held in Cartagena de Indias, Colombia, in November 2022. The 33 full and 4 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: applications of AI; ethics and smart city; green and sustainable AI; machine learning; natural language processing; robotics and computer vision; simulation and forecasting.
Advances in Artificial Intelligence – IBERAMIA 2024: 18th Ibero-American Conference on AI, Montevideo, Uruguay, November 13–15, 2024, Proceedings (Lecture Notes in Computer Science #15277)
by Luís Correia Aiala Rosá Francisco GarijoThis volume LNCS 15277 constitutes the refereed proceedings of the 18th Ibero-American Conference on AI, IBERAMIA 2024, held in Montevideo, Uruguay, during November 13–15, 2024. The 36 full papers presented together with 14 short papers were carefully reviewed and selected from 96 submissions. The conference focuses on AI engineering & applications; bio-inspired & soft computing; computer vision & robotics; knowledge representation & reasoning; machine learning; multi agent systems; natural language processing; and social AI.
Advances in Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2023, Volume 1 (Lecture Notes in Electrical Engineering #1264)
by Gaurav Raj Bhuvan Unhelker Ankur ChoudharyThis book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Advances in Artificial Intelligence and Machine Learning in Big Data Processing: First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-I (Communications in Computer and Information Science #2202)
by R. Geetha Nhu-Ngoc Dao Saeed KhalidThis book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.
Advances in Artificial Intelligence and Machine Learning in Big Data Processing: First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-II (Communications in Computer and Information Science #2203)
by R. Geetha Nhu-Ngoc Dao Saeed KhalidThis book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.
Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science (Computational Biology #31)
by Tuan D. Pham Hong Yan Folke Sjöberg Muhammad W. AshrafArtificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society.This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features:Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistryProvides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data scienceReports on applications in medicine and physiology, including cancer, neuroscience, and digital pathologyExamines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.
Advances in Artificial Intelligence-Empowered Decision Support Systems: Papers in Honour of Professor John Psarras (Learning and Analytics in Intelligent Systems #39)
by Lakhmi C. Jain Maria Virvou George A. Tsihrintzis Haris DoukasDecision Support Systems (DSSs) are Software and Information Systems which make use of various data and business models, employ advanced data analytics procedures, and access extensive databases and data warehouses to facilitate with a decision process or with organizational issues. DSSs have proven to be particularly useful at the strategic level, while they usually require only limited computer-proficiency skills from their users. Although DSSs have been under development and use for several decades, recent advances in both Software Engineering technologies and Artificial Intelligence (AI) methodologies have heralded new avenues for research and development in this field. This book exposes its readers to some of the most significant Advances in Artificial Intelligence-Empowered Decision Support Systems. It consists of an editorial note and an additional sixteen (16) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. The chapters are organized into five parts, namely (i) AI-Empowered DSS in Medical Diagnosis and Biology, (ii) AI-Empowered DSS in Healthcare and Health Insurance, (iii) AI-Empowered DSS in Urban Matters, (iv) Various Applications of AI-Empowered DSS, and (v) Novel AI-Empowered Methodologies in Decision Making. Targeted toward academics, researchers, practitioners, and students in Computer Science, Artificial Intelligence, and Management, this book is also accessible to individuals from other disciplines interested in the cutting-edge developments of AI-empowered DSS technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into the application areas of interest to them.
Advances in Best-Worst Method: Proceedings of the Third International Workshop on Best-Worst Method (BWM2022) (Lecture Notes in Operations Research)
by Jafar Rezaei Matteo Brunelli Majid MohammadiThis book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.
Advances in Best-Worst Method: Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) (Lecture Notes in Operations Research)
by Jafar Rezaei Matteo Brunelli Majid MohammadiThis proceedings book contains selected papers from the Fourth International Workshop on Best-Worst Method (BWM2023), held in Delft, the Netherlands, from 8 to 9 June 2023. It presents recent advancements in theory and applications of the Best-Worst Method (BWM). It provides valuable insights on why and how to use BWM in a diverse set of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, full information vs incomplete and uncertain situations. Academics and practitioners who are involved in multi-criteria decision-making and decision analysis benefit from the papers published in this book.
Advances in Best–Worst Method: Proceedings of the Fifth International Workshop on Best–Worst Method (BWM2024) (Lecture Notes in Operations Research)
by Jafar Rezaei Matteo Brunelli Majid MohammadiThis proceedings book contains selected papers from the Fifth International Workshop on Best-Worst Method (BWM2024), held in Delft, the Netherlands, from 13 to 14 June 2024. It presents recent advancements in theory and applications of the Best-Worst Method. It provides valuable insights on why and how to use BWM in a diverse set of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, full information vs incomplete and uncertain situations. Academics and practitioners who are involved in multi-criteria decision-making and decision-analysis could benefit from the papers published in this proceeding.
Advances in Brain Inspired Cognitive Systems: 14th International Conference, BICS 2024, Hefei, China, December 6–8, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15497)
by Amir Hussain Bo Jiang Jinchang Ren Chenglong Li Mufti Mahmud Erfu Yang Aihua Zheng Shuqiang Wang Zhi Gao Zhicheng ZhaoThe two-volume set LNAI 15497 and LNAI 15498 constitutes the refereed proceedings of the 14th International Conference on Brain Inspired Cognitive Systems, BICS 2024, held in Hefei, China, during December 6–8, 2024. The 56 full papers presented in these two volumes were carefully reviewed and selected from 124 submissions. These papers deal with various aspects of brain inspired cognitive systems, focusing on latest advancements in brain-inspired computing; artificial intelligence; and cognitive systems.
Advances in Brain Inspired Cognitive Systems: 14th International Conference, BICS 2024, Hefei, China, December 6–8, 2024, Proceedings, Part II (Lecture Notes in Computer Science #15498)
by Amir Hussain Bo Jiang Jinchang Ren Mufti Mahmud Erfu Yang Aihua Zheng Chenglong Li Shuqiang Wang Zhi Gao Zhicheng ZhaoThe two-volume set LNAI 15497 and LNAI 15498 constitutes the refereed proceedings of the 14th International Conference on Brain Inspired Cognitive Systems, BICS 2024, held in Hefei, China, during December 6–8, 2024. The 56 full papers presented in these two volumes were carefully reviewed and selected from 124 submissions. These papers deal with various aspects of brain inspired cognitive systems, focusing on latest advancements in brain-inspired computing; artificial intelligence; and cognitive systems.
Advances in Brain Inspired Cognitive Systems: 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5–6, 2023, Proceedings (Lecture Notes in Computer Science #14374)
by Jinchang Ren Amir Hussain Iman Yi Liao Rongjun Chen Kaizhu Huang Huimin Zhao Xiaoyong Liu Ping Ma Thomas MaulThis book constitutes the refereed proceedings of the International Conference on Brain Inspired Cognitive Systems, BICS 2023, held in Kuala Lumpur, Malaysia, in August 2023. The 36 full papers included in this book were reviewed and selected from 58 submissions and are organized in thematic sections as follows: Bio-inspired systems and Neural Computation; Image Recognition, Detection and Classification; Vision and Object Tracking; Data Analysis and Machine Learning and Applications.
Advances in Business Statistics, Methods and Data Collection
by Ger Snijkers Mojca Bavdaž Stefan Bender Jacqui Jones Steve MacFeely Joseph W. Sakshaug Katherine J. Thompson Arnout Van DeldenADVANCES IN BUSINESS STATISTICS, METHODS AND DATA COLLECTION Advances in Business Statistics, Methods and Data Collection delivers insights into the latest state of play in producing establishment statistics, obtained from businesses, farms and institutions. Presenting materials and reflecting discussions from the 6th International Conference on Establishment Statistics (ICES-VI), this edited volume provides a broad overview of methodology underlying current establishment statistics from every aspect of the production life cycle while spotlighting innovative and impactful advancements in the development, conduct, and evaluation of modern establishment statistics programs. Highlights include: Practical discussions on agile, timely, and accurate measurement of rapidly evolving economic phenomena such as globalization, new computer technologies, and the informal sector. Comprehensive explorations of administrative and new data sources and technologies, covering big (organic) data sources and methods for data integration, linking, machine learning and visualization. Detailed compilations of statistical programs’ responses to wide-ranging data collection and production challenges, among others caused by the Covid-19 pandemic. In-depth examinations of business survey questionnaire design, computerization, pretesting methods, experimentation, and paradata. Methodical presentations of conventional and emerging procedures in survey statistics techniques for establishment statistics, encompassing probability sampling designs and sample coordination, non-probability sampling, missing data treatments, small area estimation and Bayesian methods. Providing a broad overview of most up-to-date science, this book challenges the status quo and prepares researchers for current and future challenges in establishment statistics and methods. Perfect for survey researchers, government statisticians, National Bank employees, economists, and undergraduate and graduate students in survey research and economics, Advances in Business Statistics, Methods and Data Collection will also earn a place in the toolkit of researchers working –with data– in industries across a variety of fields.
Advances in Chemical Physics
by Aaron R. Dinner Stuart A. RiceThe Advances in Chemical Physics series--the cutting edge of research in chemical physicsThe Advances in Chemical Physics series provides the chemical physics and physical chemistry fields with a forum for critical, authoritative evaluations of advances in every area of the discipline. Filled with cutting-edge research reported in a cohesive manner not found elsewhere in the literature, each volume of the Advances in Chemical Physics series offers contributions from internationally renowned chemists and serves as the perfect supplement to any advanced graduate class devoted to the study of chemical physics.This volume explores:Hydrogen Bond Topology and Proton Ordering in Ice and Water Clusters (Sherwin J. Singer and Chris Knight)Molecular Inner-Shell Spectroscopy, Arpis Technique and Its Applications (Eiji Shigemasa and Nobuhiro Kosugi)Geometric Optimal Control of Simple Quantum Systems: Geometric Optimal Control Theory (Dominique Sugny)Density Matrix Equation for a Bathed Small System and its Application to Molecular Magnets (D. A. Garanin)A Fractional Langevin Equation Approach to Diffusion Magnetic Resonance Imaging (Jennie Cooke)
Advances in Chemical Physics, Quantum Information and Computation for Chemistry
by Stuart A. Rice Sabre Kais Aaron R. Dinner Birgitta WhaleyExamines the intersection of quantum information and chemical physicsThe Advances in Chemical Physics series is dedicated to reviewing new and emerging topics as well as the latest developments in traditional areas of study in the field of chemical physics. Each volume features detailed comprehensive analyses coupled with individual points of view that integrate the many disciplines of science that are needed for a full understanding of chemical physics.This volume of the series explores the latest research findings, applications, and new research paths from the quantum information science community. It examines topics in quantum computation and quantum information that are related to or intersect with key topics in chemical physics. The reviews address both what chemistry can contribute to quantum information and what quantum information can contribute to the study of chemical systems, surveying both theoretical and experimental quantum information research within the field of chemical physics.With contributions from an international team of leading experts, Volume 154 offers seventeen detailed reviews, including:Introduction to quantum information and computation for chemistryQuantum computing approach to non-relativistic and relativistic molecular energy calculationsQuantum algorithms for continuous problems and their applicationsPhotonic toolbox for quantum simulationVibrational energy and information transfer through molecular chainsTensor networks for entanglement evolutionReviews published in Advances in Chemical Physics are typically longer than those published in journals, providing the space needed for readers to fully grasp the topic: the fundamentals as well as the latest discoveries, applications, and emerging avenues of research. Extensive cross-referencing enables readers to explore the primary research studies underlying each topic.
Advances in Clinical Trial Biostatistics (Chapman & Hall/CRC Biostatistics Series #Vol. 13)
by Nancy L. GellerFrom aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinica
Advances in Cognitive Neurodynamics: Proceedings of the Second International Conference on Cognitive Neurodynamics - 2009 (Advances in Cognitive Neurodynamics)
by Fanji Gu Rubin WangWithin our knowledge, the series of the International Conference on Cognitive Neurodynamics (ICCN) is the only conference series dedicating to cognitive neurodynamics. This volume is the proceedings of the 2nd International Conference on Cognitive Neurodynamics held in 2009, which reviews the progress in this field since the 1st ICCN -2007. The topics include: Neural coding and realistic neural network dynamics, Neural population dynamics, Firing Oscillations and Patterns in Neuronal Networks, Brain imaging, EEG, MEG, Sensory and Motor Dynamics, Global cognitive function, Multi-scalar Neurodynamics - from Physiology to Systems Theory, Neural computing, Emerging Technologies for Brain Computer Interfaces, Neural dynamics of brain disorders.
Advances in Cognitive Neurodynamics: Proceedings of the Third International Conference on Cognitive Neurodynamics - 2011 (Advances in Cognitive Neurodynamics)
by Yoko YamaguchiWithin our knowledge, the series of the International Conference on Cognitive Neurodynamics (ICCN) is the only conference series dedicating to cognitive neurodynamis. This volume is the proceedings of the 3rd International Conference on Cognitive Neurodynamics held in 2011, which reviews the progress in this field since the 1st ICCN - 2007. The topics include: Neural coding and realistic neural network dynamics, Neural population dynamics, Firing Oscillations and Patterns in Neuronal Networks, Brain imaging, EEG, MEG, Sensory and Motor Dynamics, Global cognitive function, Multi-scalar Neurodynamics - from Physiology to Systems Theory, Neural computing, Emerging Technologies for Brain Computer Interfaces, Neural dynamics of brain disorders.
Advances in Commutative Algebra: Dedicated to David F. Anderson (Trends in Mathematics)
by Ayman Badawi Jim CoykendallThis book highlights the contributions of the eminent mathematician and leading algebraist David F. Anderson in wide-ranging areas of commutative algebra. It provides a balance of topics for experts and non-experts, with a mix of survey papers to offer a synopsis of developments across a range of areas of commutative algebra and outlining Anderson’s work. The book is divided into two sections—surveys and recent research developments—with each section presenting material from all the major areas in commutative algebra. The book is of interest to graduate students and experienced researchers alike.
Advances in Commutative Ring Theory
by David E. Dobbs Marco Fontana Salah-Eddine Kabbaj"Presents the proceedings of the recently held Third International Conference on Commutative Ring Theory in Fez, Morocco. Details the latest developments in commutative algebra and related areas-featuring 26 original research articles and six survey articles on fundamental topics of current interest. Examines wide-ranging developments in commutative algebra, together with connections to algebraic number theory and algebraic geometry."