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Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization (Lecture Notes in Mechanical Engineering)
by Raviprakash R. Salagame Palaniappan Ramu Indira Narayanaswamy Dhish Kumar SaxenaThis volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.
Advances in Multidisciplinary Analysis and Optimization: Proceedings of the 4th National Conference on Multidisciplinary Analysis and Optimization (Lecture Notes in Mechanical Engineering)
by Palaniappan Ramu P. Pradeep Pratapa G. Saravana Kumar R. K. AmitThis volume contains select papers presented during the 4th National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and their application in multiple applications. The papers showcase fundamental problems and applications which include domains such as aerospace, automotive and industrial sectors. The variety of topics and diversity of insights presented in the general field of optimization and its use in design for different applications will be of interest to researchers in academia or industry.
Advances in Multidisciplinary Design, Analysis and Optimization: Proceedings of the 6th National Conference on Advances in Multidisciplinary Design, Analysis and Optimization 2023 (Lecture Notes in Mechanical Engineering)
by Deepak Sharma Sachin Singh Gautam Tapan K. Mankodi Ujjwal K. SahaThis book contains select papers presented during the 6th National Conference on Multidisciplinary Analysis and Optimization. The book focuses on design and analysis as applicable to optimization of engineering systems in aerospace, mechanical, automotive, manufacturing, biomedical, and other domains. The book includes papers on the topics such as metamodeling or surrogate modeling, systems design and optimization, optimization and additive manufacturing, mixed integer and linear programming, multiscale and multiphysics problems, among others. The book can be a valuable reference for researchers and professionals interested in the field of optimization and its use in design for different applications.
Advances in Multimodal Information Retrieval and Generation (Synthesis Lectures on Computer Vision)
by Chitta Baral Man Luo Tejas Gokhale Neeraj Varshney Yezhou YangThis book provides an extensive examination of state-of-the-art methods in multimodal retrieval, generation, and the pioneering field of retrieval-augmented generation. The work is rooted in the domain of Transformer-based models, exploring the complexities of blending and interpreting the intricate connections between text and images. The authors present cutting-edge theories, methodologies, and frameworks dedicated to multimodal retrieval and generation, aiming to furnish readers with a comprehensive understanding of the current state and future prospects of multimodal AI. As such, the book is a crucial resource for anyone interested in delving into the intricacies of multimodal retrieval and generation. Serving as a bridge to mastering and leveraging advanced AI technologies in this field, the book is designed for students, researchers, practitioners, and AI aficionados alike, offering the tools needed to expand the horizons of what can be achieved in multimodal artificial intelligence.
Advances in Natural Deduction: A Celebration of Dag Prawitz's Work (Trends in Logic #39)
by Luiz Carlos Pereira Edward Hermann Haeusler Valeria De PaivaThis collection of papers, celebrating the contributions of Swedish logician Dag Prawitz to Proof Theory, has been assembled from those presented at the Natural Deduction conference organized in Rio de Janeiro to honour his seminal research. Dag Prawitz's work forms the basis of intuitionistic type theory and his inversion principle constitutes the foundation of most modern accounts of proof-theoretic semantics in Logic, Linguistics and Theoretical Computer Science. The range of contributions includes material on the extension of natural deduction with higher-order rules, as opposed to higher-order connectives, and a paper discussing the application of natural deduction rules to dealing with equality in predicate calculus. The volume continues with a key chapter summarizing work on the extension of the Curry-Howard isomorphism (itself a by-product of the work on natural deduction), via methods of category theory that have been successfully applied to linear logic, as well as many other contributions from highly regarded authorities. With an illustrious group of contributors addressing a wealth of topics and applications, this volume is a valuable addition to the libraries of academics in the multiple disciplines whose development has been given added scope by the methodologies supplied by natural deduction. The volume is representative of the rich and varied directions that Prawitz work has inspired in the area of natural deduction.
Advances in Network Clustering and Blockmodeling (Wiley Series in Computational and Quantitative Social Science)
by Vladimir Batagelj Patrick Doreian Anǔska FerligojProvides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.
Advances in Network Complexity
by Matthias Dehmer Frank Emmert-Streib Abbe MowshowitzA well-balanced overview of mathematical approaches to complex systems ranging from applications in chemistry and ecology to basic research questions on network complexity. Matthias Dehmer, Abbe Mowshowitz, and FrankEmmert-Streib, well-known pioneers in the fi eld, have edited this volume with a view to balancing classical and modern approaches to ensure broad coverage of contemporary research problems.The book is a valuable addition to the literature and a must-have for anyone dealing with network compleaity and complexity issues.
Advances in Neural Computation, Machine Learning, and Cognitive Research VIII: Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia
by Boris Kryzhanovsky Witali Dunin-Barkowski Vladimir Redko Yury Tiumentsev Dmitry YudinThis book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia.
Advances in Neural Computation, Machine Learning, and Cognitive Research VIII: Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia (Studies in Computational Intelligence #1179)
by Boris Kryzhanovsky Witali Dunin-Barkowski Vladimir Redko Yury Tiumentsev Dmitry YudinThis book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia.
Advances in Neural Data Science: Data Research Camp 2022, Venice, Italy, July 12–15 (Springer Proceedings in Mathematics & Statistics #475)
by Piercesare Secchi Antonio Canale Nicola Sartori Stefano Mazzuco Alessandra Luati Raffaella PiccarretaThis proceeding volume will contain a collection of peer-reviewed articles arising from the Data Research Camp 2022. The workshop took place on July 12–15, 2022, at the Venice International University, in the venetian island of San Servolo. The Data Research Camp has been a stimulating experience bringing together 28 early-career researchers in statistics and seven international professors with the common task of developing novel statistical methods for complex brain imaging data. The workshop was motivated by the recent advancements in miniaturized fluorescence microscopy that have made it possible to collect complex data on neuronal responses to stimuli in awake behaving animals. Several ongoing challenges are related to this novel technology including the deconvolution of the temporal signals to extract the spike trains from the noisy calcium data, the estimation of neuronal activation intensity distribution, the spatio-temporal dependence or covariate effect estimation, among others.
Advances in Neural Networks – ISNN 2018: 15th International Symposium On Neural Networks, ISNN 2018, Minsk, Belarus, June 25-28, 2018, Proceedings (Theoretical Computer Science and General Issues #10878)
by Tingwen Huang Jiancheng Lv Changyin Sun Alexander V. TuzikovThis book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.
Advances in Neural Networks – ISNN 2024: 18th International Symposium on Neural Networks, Weihai, China, July 11–14, 2024, Proceedings (Lecture Notes in Computer Science #14827)
by Zhijun Zhang Xinyi LeThis volume constitutes the refereed proceedings of the 18th International Symposium on Neural Networks, ISNN 2024, held in Weihai, China, during 11-14, July 2024. The 59 full papers were carefully reviewed and selected from 82 submission. They are categorized in the following sections: Optimization Algorithms; Adversarial Learning, Transfer Learning, and Deep Learning; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Fault Diagnosis and Intelligent Industry & Bio-signal, Bioinformatics, and Biomedical Engineering.
Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA (Lecture Notes in Networks and Systems #259)
by Hasan Ayaz Umer Asgher Lucas PalettaThis book offers a broad overview of the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators and computational systems. It gathers both theoretical and practice-oriented studies on mental workload and stress, activity theory, human reliability, error and risk. It covers applications in various field, and corresponding strategies to make assistive technologies more user-oriented. Further, the book describes key advances in our understanding of cognitive processes, including mechanisms of perception, memory, reasoning, and motor response, with a particular focus on their role in interactions between humans and other elements of computer-based systems. Gathering the proceedings of the AHFE 2021 Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, held virtually on July 25-29, 2021, from USA, this book offers extensive information and a thought-provoking guide for researchers and practitioners in cognitive engineering, neuroergonomics and their applications.
Advances in Neuromorphic Memristor Science and Applications (Springer Series in Cognitive and Neural Systems #4)
by Robinson E. Pino Robert Kozma Giovanni E. PazienzaPhysical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.
Advances in Non Destructive Evaluation: Proceedings of NDE 2020 (Lecture Notes in Mechanical Engineering)
by Shyamsunder Mandayam Sarmishtha Palit SagarThis book comprises the proceedings of the Conference and Exhibition on Non Destructive Evaluation (NDE 2020). The contents of the volume encompass a vast spectrum from Conventional to Advanced NDE including novel methods, instrumentation, sensors, procedures, and data analytics as applied to all industry segments for quality control, periodic maintenance, life estimation, structural integrity and related areas. This book will be a useful reference for students, researchers and practitioners.
Advances in Non-Destructive Evaluation: Conference Proceedings of NDE 2021 (Lecture Notes in Mechanical Engineering)
by Ravibabu Mulaveesala Bikash Ghose Venugopal ManoharanThis book comprises the proceedings of the Conference and Exhibition on Non-Destructive Evaluation (NDE 2021) organised by the Indian Society for Non-destructive Testing (ISNT). This book covers topics from wide domains from conventional to advanced NDE, including conventional and advanced NDE methods, drone-based inspections, thermal wave imaging, NDT data fusion, material characterization, waveguide sensors, inspections of civil structures, medical applications such as bone density and cancer diagnosis, periodic maintenance, life estimation, as well as structural integrity and related areas. This book serves as a useful reference for students, researchers, and practitioners alike.
Advances in Non-Destructive Evaluation: Select Proceedings of NDE 2022 (Lecture Notes in Mechanical Engineering)
by Ravibabu Mulaveesala Bikash Ghose Phani MylavarapuThis book comprises the proceedings of the Conference and Exhibition on Non-Destructive Evaluation (NDE 2022). The contents of the volume encompass a vast spectrum from conventional to advanced NDE including novel methods, and emerging NDE technologies. It covers topics from wide domains from conventional to advanced NDE methods which includes but not limited to drone-based inspections, thermal wave imaging, microwave NDE, shearography, Quantitative NDE using Digital Image Correlation, modeling and simulation, NDT data fusion, material characterization, waveguide sensors, inspections of civil structures, medical applications such as bone density and cancer diagnosis, signal and image processing, NDE sensors, instrumentation, software and systems, NDE 4.0 and robotics, automation, AI in NDE, functional and operational testing, NDE data analytics, reliability and safety assurance, periodic maintenance, life estimation, as well as structural integrity and related areas. This book serves as a useful reference for students, researchers, and practitioners working in the areas of non-destructive testing and evaluation.
Advances in Non-destructive Evaluation: Proceedings of NDE 2019 (Lecture Notes in Mechanical Engineering)
by C. K. Mukhopadhyay Ravibabu MulaveesalaThis book comprises the proceedings of the Conference and Exhibition on Non Destructive Evaluation, (NDE 2019). The contents of the book encompass a vast spectrum from Conventional to Advanced NDE including novel methods, instrumentation, sensors, procedures and data analytics as applied to all industry segments for quality control, periodic maintenance, life estimation, structural integrity and related areas. This book will be a useful reference for students, researchers and practitioners.
Advances in Non-linear Economic Modeling: Theory and Applications (Dynamic Modeling and Econometrics in Economics and Finance #17)
by Frauke Schleer-van GellecomIn recent years nonlinearities have gained increasing importance in economic and econometric research, particularly after the financial crisis and the economic downturn after 2007. This book contains theoretical, computational and empirical papers that incorporate nonlinearities in econometric models and apply them to real economic problems. It intends to serve as an inspiration for researchers to take potential nonlinearities in account. Researchers should be aware of applying linear model-types spuriously to problems which include non-linear features. It is indispensable to use the correct model type in order to avoid biased recommendations for economic policy.
Advances in Noncommutative Geometry: On the Occasion of Alain Connes' 70th Birthday
by Guoliang Yu Ali Chamseddine Caterina Consani Nigel Higson Masoud Khalkhali Henri MoscoviciThis authoritative volume in honor of Alain Connes, the foremost architect of Noncommutative Geometry, presents the state-of-the art in the subject. The book features an amalgam of invited survey and research papers that will no doubt be accessed, read, and referred to, for several decades to come. The pertinence and potency of new concepts and methods are concretely illustrated in each contribution. Much of the content is a direct outgrowth of the Noncommutative Geometry conference, held March 23–April 7, 2017, in Shanghai, China. The conference covered the latest research and future areas of potential exploration surrounding topology and physics, number theory, as well as index theory and its ramifications in geometry.
Advances in Nonlinear Analysis via the Concept of Measure of Noncompactness
by Józef Banaś Mohammad Mursaleen Mohamed Jleli Bessem Samet Calogero VetroThis book offers a comprehensive treatment of the theory of measures of noncompactness. It discusses various applications of the theory of measures of noncompactness, in particular, by addressing the results and methods of fixed-point theory. The concept of a measure of noncompactness is very useful for the mathematical community working in nonlinear analysis. Both these theories are especially useful in investigations connected with differential equations, integral equations, functional integral equations and optimization theory. Thus, one of the book's central goals is to collect and present sufficient conditions for the solvability of such equations. The results are established in miscellaneous function spaces, and particular attention is paid to fractional calculus.
Advances in Nonlinear Dynamics and Control of Mechanical and Physical Systems: Selected Articles from CSNDD 2023; 15–17 May; Marrakesh, Morocco (Springer Proceedings in Physics #301)
by Mohamed BelhaqThis book highlights recent advances in nonlinear dynamics and control with applications in mechanics and physics. The book includes selected articles from the 5th Conference on Structural Nonlinear Dynamics and Diagnosis (CSNDD 2023) and presents recent theoretical, experimental and numerical findings covering various topics in nonlinear structural dynamics and diagnosis. The main topics includes multiple scales dynamics, energy harvesting, dynamics of MEMS, NEMS and AFM, systems with time delay, quasi-periodic oscillations and synchronization, stochastic dynamics, analytical and semi-analytical methods, time series analysis, control and analysis of switching systems, structural health monitoring, nonlinear vibrations of structures, nonsmouth dynamics, nonlinear phenomena in discrete and continuum systems, dynamic modeling and fault diagnosis, constrained multi-catenary systems, conservative chaotic system, hysteretic structures, and nonlinear PDEs and their dynamics.
Advances in Nonlinear Dynamics, Volume I: Proceedings of the Third International Nonlinear Dynamics Conference (NODYCON 2023) (NODYCON Conference Proceedings Series)
by Walter LacarbonaraThis volume aims to present the latest advancements in experimental, analytical, and numerical methodologies aimed at exploring the nonlinear dynamics of diverse systems across varying length and time scales. It delves into the following topics:Methodologies for nonlinear dynamic analysis (harmonic balance, asymptotic techniques, enhanced time integration)Data-driven dynamics, machine learning techniquesExploration of bifurcations and nonsmooth systemsNonlinear phenomena in mechanical systems and structuresExperimental dynamics, system identification, and monitoring techniquesFluid-structure interactionDynamics of multibody systemsTurning processes, rotating systems, and systems with time delays
Advances in Nonlinear Dynamics: Proceedings of the Second International Nonlinear Dynamics Conference (NODYCON 2021), Volume 3 (NODYCON Conference Proceedings Series)
by Jun Ma Walter Lacarbonara J. A. Tenreiro Machado Balakumar Balachandran Gabor Stepan Michael J. LeamyThis third of three volumes includes papers from the second series of NODYCON, which was held virtually in February of 2021. The conference papers reflect a broad coverage of topics in nonlinear dynamics, ranging from traditional topics from established streams of research to those from relatively unexplored and emerging venues of research. These include· Complex dynamics of COVID-19: modeling, prediction and control · Nonlinear phenomena in bio-systems and eco-systems · Energy harvesting · MEMS/NEMS · Multifunctional structures, materials and metamaterials · Nonlinear waves · Chaotic systems, stochasticity, and uncertainty
Advances in Nonlinear Geosciences
by Anastasios A. TsonisAdvances in Nonlinear Geosciences is a set of contributions from the participants of "30 Years of Nonlinear Dynamics" held July 3-8, 2016 in Rhodes, Greece as part of the Aegean Conferences, as well as from several other experts in the field who could not attend the meeting. The volume brings together up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences and presents the new advances made in the last 10 years. Topics include chaos synchronization, topological data analysis, new insights on fractals, multifractals and stochasticity, climate dynamics, extreme events, complexity, and causality, among other topics.