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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 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: 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."
Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC) (Wiley Series in Survey Methodology)
by Brita Dorer Ineke A. Stoop Beth-Ellen Pennell Timothy P. JohnsonCovers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.
Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)
by Anna Maria Paganoni Piercesare SecchiThe book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S. Co. 2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.
Advances in Compositional Data Analysis: Festschrift in Honour of Vera Pawlowsky-Glahn
by Peter Filzmoser Karel Hron Josep Antoni Martín-Fernández Javier Palarea-AlbaladejoThis book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it illustrates real-world applications in numerous scientific disciplines and includes references to the latest software solutions available for compositional data analysis, thus providing a valuable and up-to-date guide for researchers and practitioners working with compositional data. Featuring selected contributions by leading experts in the field, the book is dedicated to Vera Pawlowsky-Glahn on the occasion of her 70th birthday.
Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2 (Learning and Analytics in Intelligent Systems #16)
by S. Jyothi D. M. Mamatha Suresh Chandra Satapathy K. Srujan Raju Margarita N. FavorskayaThis book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 (Learning and Analytics in Intelligent Systems #15)
by S. Jyothi D. M. Mamatha Suresh Chandra Satapathy K. Srujan Raju Margarita N. FavorskayaThis book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
Advances in Computational Intelligence: 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part II (Lecture Notes in Computer Science #10633)
by Félix Castro Sabino Miranda-Jiménez Miguel González-MendozaThe two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.
Advances in Computational Intelligence: First International Conference, ICACI 2023, Hyderabad, India, December 15–16, 2023, Proceedings (Communications in Computer and Information Science #2164)
by K. Venu Gopal Rao A. V. Krishna Prasad Seelam Ch. Vijaya BhaskarThis book constitutes the refereed proceedings of the First International Conference on Advances in Computational Intelligence, ICACI 2023, held in Hyderabad, India, during December 15–16, 2023. The 7 full papers and 2 short papers included in this book were carefully reviewed and selected from 234 submissions. These papers focus on the diverse applications of Data engineering in various areas such as Data Mining, Artificial Intelligence, Natural Language Processing, Pattern Recognition, and Machine Learning.
Advances in Computational Intelligence and Informatics: Proceedings of ICACII 2023 (Lecture Notes in Networks and Systems #993)
by Salvatore Distefano Sandeep Singh Rawat Raghavendra Rao ChillarigeThe book is a collection of best selected research papers presented at 2nd International Conference on Advances in Computational Intelligence and Informatics (ICACII 2023) organized by Anurag University, Hyderabad, India, during 22–23 December 2023. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics which is useful for researchers, scientists, technocrats, academicians, and engineers. The areas included are high performance system, data science and analytics, computational intelligence and expert systems, cloud computing, computer network, and emerging technologies.
Advances in Computational Intelligence. MICAI 2024 International Workshops: HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21–25, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15464)
by Lourdes Martínez-Villaseñor Gilberto Ochoa-Ruiz Martin Montes Rivera María Lucía Barrón-Estrada Héctor Gabriel Acosta-MesaThis book constitutes the revised selected papers of several workshops which were held in conjunction with the MICAI 2024 International Workshops on Advances in Computational Intelligence, MICAI 2024, held in Tonantzintla, Mexico, during October 21–25, 2024. The 38 revised full papers presented in this book were carefully reviewed and selected from 58 submissions. The papers presented in this volume stem from the following workshops: – 17th Workshop of Hybrid Intelligent Systems (HIS 2024) – 17th Workshop on Intelligent Learning Environments (WILE 2024) – 6th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2024).
Advances in Computational Intelligence. MICAI 2024 International Workshops: HIS 2024, WILE 2024, and CIAPP 2024, Tonantzintla, Mexico, October 21–25, 2024, Proceedings, Part II (Lecture Notes in Computer Science #15465)
by Lourdes Martínez-Villaseñor Gilberto Ochoa-Ruiz Martin Montes Rivera María Lucía Barrón-Estrada Héctor Gabriel Acosta-MesaThis book constitutes the revised selected papers of several workshops which were held in conjunction with the MICAI 2024 International Workshops on Advances in Computational Intelligence, MICAI 2024, held in Tonantzintla, Mexico, during October 21–25, 2024. The 38 revised full papers presented in this book were carefully reviewed and selected from 58 submissions. The papers presented in this volume stem from the following workshops: – 17th Workshop of Hybrid Intelligent Systems (HIS 2024) – 17th Workshop on Intelligent Learning Environments (WILE 2024) – 6th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2024).
Advances in Computational Mathematics (Lecture Notes In Pure And Applied Mathematics Ser.)
by Zhongying Chen Yuesheng Li Charles A. Micchelli Yuesheng XuThis volume presents the refereed proceedings of the Guangzhou International Symposium on Computational Mathematics, held at the Zhongshan University, People's Republic of China. Nearly 90 international mathematicians examine numerical optimization methods, wavelet analysis, computational approximation, numerical solutions of differential and integral equations, numerical linear algebra, inverse and ill-posed problems, geometric modelling, and signal and image processing and their applications.
Advances in Computational Mathematics for Industrial System Reliability and Maintainability (Springer Series in Reliability Engineering)
by Mohammad YazdiThis book is a comprehensive exploration of computational mathematics and its impact on enhancing the reliability and maintainability of industrial systems. With its careful blend of theoretical foundations, practical applications, and future perspectives, this book is a vital reference for researchers, engineers, and professionals seeking to optimize industrial systems' performance, efficiency, and resilience.
Advances in Computational Methods and Technologies in Aeronautics and Industry (Computational Methods in Applied Sciences #57)
by Dietrich Knoerzer Jacques Periaux Tero TuovinenThis book provides research results using computational methods for fluid dynamics and engineering problems in aeronautics and other scientific and industrial applications. It gives an overview on the state of the art and the technology trends requiring advanced computational methods towards digitization in industrial and scientific processes. The chapters are based on Special Technology Sessions of the WCCM-ECCOMAS Virtual Congress 2021.
Advances in Computational Modeling and Simulation (Lecture Notes in Mechanical Engineering)
by Rajesh Kumar Rallapalli Srinivas Mainak DuttaThe book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.