Advertisement
| young nn modeling: Neural Networks for Hydrological Modeling Robert Abrahart, P.E. Kneale, Linda M. See, 2004-05-15 A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The b |
| young nn modeling: Modeling and Control for Micro/Nano Devices and Systems Ning Xi, Mingjun Zhang, Guangyong Li, 2017-12-19 Micro/nano-scale engineering—especially the design and implementation of ultra-fast and ultra-scale energy devices, sensors, and cellular and molecular systems—remains a daunting challenge. Modeling and control has played an essential role in many technological breakthroughs throughout the course of history. Therefore, the need for a practical guide to modeling and control for micro/nano-scale devices and systems has emerged. The first edited volume to address this rapidly growing field, Modeling and Control for Micro/Nano Devices and Systems gives control engineers, lab managers, high-tech researchers, and graduate students easy access to the expert contributors’ cutting-edge knowledge of micro/nanotechnology, energy, and bio-systems. The editors offer an integrated view from theory to practice, covering diverse topics ranging from micro/nano-scale sensors to energy devices and control of biology systems in cellular and molecular levels. The book also features numerous case studies for modeling of micro/nano devices and systems, and explains how the models can be used for control and optimization purposes. Readers benefit from learning the latest modeling techniques for micro/nano-scale devices and systems, and then applying those techniques to their own research and development efforts. |
| young nn modeling: Advances in Neural Networks - ISNN 2004 Fuliang Yin, Jun Wang, Chengan Guo, 2011-04-07 This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China duringAugust 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, Hungary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, - nezuela, Chile, andAustralia). Based on reviews, the Program Committee selected 329 high-quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theo- tical analysis; learning and optimization; support vector machines; blind source sepa- tion,independentcomponentanalysis,andprincipalcomponentanalysis;clusteringand classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators,scientists,andpractitionerstothebeautifulcoastalcityDalianinnortheastern China. It provided an international forum for the participants to present new results, to discuss the state of the art, and to exchange information on emerging areas and future trends of neural network research. It also created a nice opportunity for the participants to meet colleagues and make friends who share similar research interests. |
| young nn modeling: Computer Music Modeling and Retrieval. Sense of Sounds Richard Kronland-Martinet, Sølvi Ystad, Kristoffer Jensen, 2008-07-19 This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Computer Music Modeling and Retrieval Symposium, CMMR 2007, held in Copenhagen, Denmark, in August 2007 jointly with the International Computer Music Conference 2007, ICMC 2007. The 33 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Due to the interdisciplinary nature of the area, the papers address a broad variety of topics in computer science and engineering areas such as information retrieval, programming, human computer interaction, digital libraries, hypermedia, artificial intelligence, acoustics, signal processing, etc. CMMR 2007 has put special focus on the Sense of Sounds from the synthesis and retrieval point of view. This theme is pluridisciplinary by nature and associates the fields of sound modeling by analysis, synthesis, perception and cognition. |
| young nn modeling: Modeling Monetary Economies Bruce Champ, Scott Freeman, Joseph Haslag, 2011-05-09 This textbook is designed to be used in an advanced undergraduate course. The approach of this text is to teach monetary economics using the classical paradigm of rational agents in a market setting. Too often monetary economics has been taught as a collection of facts about existing institutions for students to memorize. By teaching from first principles instead, the authors aim to instruct students not only in the monetary policies and institutions that exist today in the United States and Canada, but also in what policies and institutions may or should exist tomorrow and elsewhere. The text builds on a simple, clear monetary model and applies this framework consistently to a wide variety of monetary questions. The authors have added in this third edition new material on money as a means of replacing imperfect social record keeping, the role of currency in banking panics and a description of the policies implemented to deal with the banking crises that began in 2007. |
| young nn modeling: Combining Simulations, Theory, and Experiments into Multiscale Models of Biological Events Fabio Trovato, Peter J. Bond, Joanna Trylska, Peter Guy Wolynes, 2022-01-11 |
| young nn modeling: Business Process Modeling, Simulation and Design, Second Edition Manuel Laguna, Johan Marklund, 2013-04-25 Most textbooks on business process management focus on either the nuts and bolts of computer simulation or the managerial aspects of business processes. Covering both technical and managerial aspects of business process management, Business Process Modeling, Simulation and Design, Second Edition presents the tools to design effective business processes and the management techniques to operate them efficiently. New to the Second Edition Three completely revised chapters that incorporate ExtendSim 8 An introduction to simulation A chapter on business process analytics Developed from the authors’ many years of teaching process design and simulation courses, the text provides students with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes. It covers a wide range of approaches, including discrete event simulation, graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, analytical queuing methods, and data mining. Unlike other operations management books, this one emphasizes user-friendly simulation software as well as business processes, rather than only manufacturing processes or general operations management problems. Taking an analytical modeling approach to process design, this book illustrates the power of simulation modeling as a vehicle for analyzing and designing business processes. It teaches how to apply process simulation and discusses the managerial implications of redesigning processes. The ExtendSim software is available online and ancillaries are available for instructors. |
| young nn modeling: Computational Intelligence in Biomedical Engineering Rezaul Begg, Daniel T.H. Lai, Marimuthu Palaniswami, 2007-12-04 As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field- |
| young nn modeling: Factories of the Future Tullio Tolio, Giacomo Copani, Walter Terkaj, 2019-02-14 This book is open access under a CC BY 4.0 license.This book presents results relevant in the manufacturing research field, that are mainly aimed at closing the gap between the academic investigation and the industrial application, in collaboration with manufacturing companies. Several hardware and software prototypes represent the key outcome of the scientific contributions that can be grouped into five main areas, representing different perspectives of the factory domain:1) Evolutionary and reconfigurable factories to cope with dynamic production contexts characterized by evolving demand and technologies, products and processes.2) Factories for sustainable production, asking for energy efficiency, low environmental impact products and processes, new de-production logics, sustainable logistics.3) Factories for the People who need new kinds of interactions between production processes, machines, and human beings to offer a more comfortable and stimulating working environment.4) Factories for customized products that will be more and more tailored to the final user’s needs and sold at cost-effective prices.5) High performance factories to yield the due production while minimizing the inefficiencies caused by failures, management problems, maintenance.This books is primarily targeted to academic researchers and industrial practitioners in the manufacturing domain. |
| young nn modeling: Mesomechanical Constitutive Modeling Vratislav Kafka, 2001 This carefully written book, based to a large degree on original and new research, is an essential source of information for anyone dealing with property modeling aspects in modern materials science. It can be warmly recommended for graduate students and researchers in the respective fields. Ceramics - Silikaty, 2001 |
| young nn modeling: Handbook of Models for Human Aging P. Michael Conn, 2011-04-28 The Handbook of Models for Human Aging is designed as the only comprehensive work available that covers the diversity of aging models currently available. For each animal model, it presents key aspects of biology, nutrition, factors affecting life span, methods of age determination, use in research, and disadvantages/advantes of use. Chapters on comparative models take a broad sweep of age-related diseases, from Alzheimer's to joint disease, cataracts, cancer, and obesity. In addition, there is an historical overview and discussion of model availability, key methods, and ethical issues. - Utilizes a multidisciplinary approach - Shows tricks and approaches not available in primary publications - First volume of its kind to combine both methods of study for human aging and animal models - Over 200 illustrations |
| young nn modeling: Intelligent Computational Paradigms in Earthquake Engineering Nikos D. Lagaros, Yiannis Tsompanakis, 2007-01-01 This book contains contributions that cover a wide spectrum of very important real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. It assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering--Provided by publisher. |
| young nn modeling: Linear Models for the Prediction of the Genetic Merit of Animals, 4th Edition Raphael Mrode, Ivan Pocrnic, 2023-10-09 Fundamental to any livestock improvement programme by animal scientists, is the prediction of genetic merit in the offspring generation for desirable production traits such as increased growth rate, or superior meat, milk and wool production. Covering the foundational principles on the application of linear models for the prediction of genetic merit in livestock, this new edition is fully updated to incorporate recent advances in genomic prediction approaches, genomic models for multi-breed and crossbred performance, dominance and epistasis. It provides models for the analysis of main production traits as well as functional traits and includes numerous worked examples. For the first time, R codes for key examples in the textbook are provided online. Suitable for graduate and postgraduate students, researchers and lecturers of animal breeding, genetics and genomics, this established textbook provides a thorough grounding in both the basics and in new developments of linear models and animal genetics. |
| young nn modeling: Applied Research in Uncertainty Modeling and Analysis Bilal M. Ayyub, 2007-12-29 The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes. |
| young nn modeling: Random Matrix Models and Their Applications Pavel Bleher, Alexander Its, 2001-06-04 Expository articles on random matrix theory emphasizing the exchange of ideas between the physical and mathematical communities. |
| young nn modeling: Federal Yellow Book , 2004 |
| young nn modeling: The New Advanced Society Sandeep Kumar Panda, Ramesh Kumar Mohapatra, Subhrakanta Panda, S. Balamurugan, 2022-04-05 THE NEW ADVANCED SOCIETY Included in this book are the fundamentals of Society 5.0, artificial intelligence, and the industrial Internet of Things, featuring their working principles and application in different sectors. A 360-degree view of the different dimensions of the digital revolution is presented in this book, including the various industries transforming industrial manufacturing, the security and challenges ahead, and the far-reaching implications for society and the economy. The main objective of this edited book is to cover the impact that the new advanced society has on several platforms such as smart manufacturing systems, where artificial intelligence can be integrated with existing systems to make them smart, new business models and strategies, where anything and everything is possible through the internet and cloud, smart food chain systems, where food products can be delivered to any corner of the world at any time and in any situation, smart transport systems in which robots and self-driven cars are taking the lead, advances in security systems to assure people of their privacy and safety, and smart healthcare systems, where biochips can be incorporated into the human body to predict deadly diseases at early stages. Finally, it can be understood that the social reformation of Society 5.0 will lead to a society where every person leads an active and healthy life. Audience The targeted audience for this book includes research scholars and industry engineers in artificial intelligence and information technology, engineering students, cybersecurity experts, government research agencies and policymakers, business leaders, and entrepreneurs. Sandeep Kumar Panda, PhD is an associate professor in the Department of Data Science and Artificial Intelligence at IcfaiTech (Faculty of Science and Technology), ICFAI Foundation for Higher Education, Hyderabad. His research areas include artificial intelligence, IoT, blockchain technology, cloud computing, cryptography, computational intelligence, and software engineering. Ramesh Kumar Mohapatra, PhD is an assistant professor in the Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India. His research interests include optical character recognition, document image analysis, video processing, secure computing, and machine learning. Subhrakanta Panda, PhD is an assistant professor in the Department of Computer Science and Information Systems, BITS-PILANI, Hyderabad Campus, Jawahar Nagar, Hyderabad, India. His research interests include social network analysis, cloud computing, security testing, and blockchain. S. Balamurugan, PhD is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents. |
| young nn modeling: Shell and Membrane Theories in Mechanics and Biology Holm Altenbach, Gennadi I. Mikhasev, 2014-09-09 This book presents the latest results related to shells characterize and design shells, plates, membranes and other thin-walled structures, a multidisciplinary approach from macro- to nanoscale is required which involves the classical disciplines of mechanical/civil/materials engineering (design, analysis, and properties) and physics/biology/medicine among others. The book contains contributions of a meeting of specialists (mechanical engineers, mathematicians, physicists and others) in such areas as classical and non-classical shell theories. New trends with respect to applications in mechanical, civil and aero-space engineering, as well as in new branches like medicine and biology are presented which demand improvements of the theoretical foundations of these theories and a deeper understanding of the material behavior used in such structures. |
| young nn modeling: New Frontiers in Multiscale Modelling of Advanced Materials Simone Taioli, Maurizio Dapor, Nicola M. Pugno, 2016-01-22 Atomistic simulations, based on ab-initio and semi-empirical approaches, are nowadays widespread in many areas of physics, chemistry and, more recently, biology. Improved algorithms and increased computational power widened the areas of application of these computational methods to extended materials of technological interest, in particular allowing unprecedented access to the first-principles investigation of their electronic, optical, thermodynamical and mechanical properties, even where experiments are not available. However, for a big impact on the society, this rapidly growing field of computational approaches to materials science has to face the unfavourable scaling with the system size, and to beat the time-scale bottleneck. Indeed, many phenomena, such as crystal growth or protein folding for example, occur in a space/time scale which is normally out of reach of present simulations. Multi-scale approaches try to combine different scale algorithms along with matching procedures in order to bridge the gap between first-principles and continuum-level simulations. This Research Topic aims at the description of recent advances and applications in these two emerging fields of ab-inito and multi-scale materials modelling for both ground and excited states. A variety of theoretical and computational techniques are included along with the application of these methods to systems at increasing level of complexity, from nano to micro. Crossing the borders between several computational, theoretical and experimental techniques, this Research Topic aims to be of interest to a broad community, including experimental and theoretical physicists, chemists and engineers interested in materials research in a broad sense. |
| young nn modeling: Coupled CFD-DEM Modeling Hamid Reza Norouzi, Reza Zarghami, Rahmat Sotudeh-Gharebagh, Navid Mostoufi, 2016-10-17 Discusses the CFD-DEM method of modeling which combines both the Discrete Element Method and Computational Fluid Dynamics to simulate fluid-particle interactions. Deals with both theoretical and practical concepts of CFD-DEM, its numerical implementation accompanied by a hands-on numerical code in FORTRAN Gives examples of industrial applications |
| young nn modeling: Thermomechanical Modeling and Experimental Characterization of Sheet Molding Compound Composites Lang, Juliane, 2023-06-28 The aim of this work is to model and experimentally characterize the anisotropic material behavior of SMC composites on the macroscale with consideration of the microstructure. Temperature-dependent thermoelastic behavior and failure behavior are modeled and the corresponding material properties are determined experimentally. Additionally, experimental biaxial damage investigations are performed. A parameter identification merges modeling and experiments and validates the models. |
| young nn modeling: Thermodynamic Modeling and Materials Data Engineering J.-P. Caliste, A. Truyol, Jack H. Westbrook, 2012-12-06 J.-P. CALISTE, A. TRUYOL AND J. WESTBROOK The Series, Data and Knowledge in a Changing World, exemplifies CODATA's primary purpose of collecting, from widely different fields, a wealth of information on efficient exploitation of data for progress in science and technology and making that information available to scientists and engineers. A separate and complementary CODATA Reference Series will present Directories of compiled and evaluated data and Glossaries of data-related terms. The present book Thermodynamic Modeling and Materials Data Engineering discusses thermodynamic, structural, systemic and heuristic approaches to the modeling of complex materials behavior in condensed phases, both fluids and solids, in order to evaluate their potential applications. Itwas inspired by the Symposium on Materials and Structural Properties held during the 14th International CODATA Conference in Chambery, France. The quality of the contributions to this Symposium motivated us to present a coherent book of interest to the field. Updated contributions inspired by Symposium discussions and selections from other CODATA workshops concerning material properties data and Computer Aided Design combine to highlight the complexity of material data issues on experimental, theoretical and simulation levels Articles were selected for their pertinence in three areas. Complex data leading to interesting developments and tools such as: • new developments in state equations and their applications, • prediction and validation of physical and energy data by group correlations for pure compounds, • modeling and prediction of mixture properties. |
| young nn modeling: Advances in Engineering Research and Application Duy Cuong Nguyen, Ngoc Pi Vu, Banh Tien Long, Horst Puta, Kai-Uwe Sattler, 2022-12-01 The International Conference on Engineering Research and Applications (ICERA 2022), held on December 1-2, 2022, at Thai Nguyen University of Technology in Thai Nguyen, Vietnam, provided an international forum to disseminate information on latest theories and practices in engineering research and applications. The conference focused on original research work in areas including mechanical engineering, materials and mechanics of materials, mechatronics and micro mechatronics, automotive engineering, electrical and electronics engineering, information and communication technology. By disseminating the latest advances in the field, the Proceedings of ICERA 2022, Advances in Engineering Research and Application, assists academics and professionals alike to reshape their thinking on sustainable development. |
| young nn modeling: Application of Fishes as Biological Models in Genetic Studies Tony Silveira, Sandra Isabel Morena Abril, Mariana Härter Remiao, Caroline Gomes Lucas, 2023-03-30 Although Gregor Mendel is considered the father of genetics, he has never taken the credit for his principles on heredity. Mendel's treatises, though they were part of the collection of the largest European libraries in the 19th century, were only rediscovered in 1900, 16 years after his death. Mendel's revolutionary ideas would have given greater strength to the formulation of Charles Darwin's ideas about common descent and gradual evolution through natural selection presented in 1859 in The Origin of Species. However, Darwin was not totally ignorant of the possibility of genetic heredity. He even described “invisible characters” emerging in atavistic situations and named his hypothetical particle of heredity as “gemmules.” It is remarkable that the “invisible characters” and “gemmules” referred by Darwin are what we now know as genes – a term coined in 1909 by Wilhelm Johannsen that was widely accepted. During the 1930s and 40s, the findings of great proponents of genetics and evolution such as Mendel, Darwin, Wallace, Fisher, Haldane, Wright, Dobzhansky, Mayr, and several others were brought together to form the neo-Darwinian synthesis. In addition, in the 40s, genetics started its molecular revolution, which in the late 70s, driven by sequencing technology, gave rise to the genomics era. It took approximately 100 years to formulate the theoretical foundations of genetics to understand how information is transmitted to the next generations. Now, less than 45 years after the beginning of the genomic era, science is fully capable of identifying complete genomes. Among animals, fishes are one of the most relevant groups in genetic studies. Although fish studies were important in applying and corroborating Mendel's findings in the first decades of the 19th century, these studies contributed little to the development of classical genetics. However, fish have been of great importance for the development of molecular genetics. Several species such as Carassius auratus, Oryzias latipes, and Danio rerio (among several others of productive interest such as Salmo salar, Oreochromis niloticus, and Cyprinus carpio) have been used around the world as biological models. These models can be used for the study of genes and genomes, epigenetics, and genetic expression. Genetic studies using fish, in addition to increasing genetic knowledge about the species, also serve for a better general understanding of the physiology of metabolic pathways, diseases, evolution, systematics, dispersion, creation, and selection of individuals and lineages. Considering this, this Research Topic aims to bring together studies that present applications of fish as targets in genetic studies. |
| young nn modeling: Multiscale Materials Modeling Siegfried Schmauder, Immanuel Schäfer, 2016-08-22 This book presents current spatial and temporal multiscaling approaches of materials modeling. Recent results demonstrate the deduction of macroscopic properties at the device and component level by simulating structures and materials sequentially on atomic, micro- and mesostructural scales. The book covers precipitation strengthening and fracture processes in metallic alloys, materials that exhibit ferroelectric and magnetoelectric properties as well as biological, metal-ceramic and polymer composites. The progress which has been achieved documents the current state of art in multiscale materials modelling (MMM) on the route to full multi-scaling. Contents: Part I: Multi-time-scale and multi-length-scale simulations of precipitation and strengthening effects Linking nanoscale and macroscale Multiscale simulations on the coarsening of Cu-rich precipitates in α-Fe using kinetic Monte Carlo, Molecular Dynamics, and Phase-Field simulations Multiscale modeling predictions of age hardening curves in Al-Cu alloys Kinetic Monte Carlo modeling of shear-coupled motion of grain boundaries Product Properties of a two-phase magneto-electric composite Part II: Multiscale simulations of plastic deformation and fracture Niobium/alumina bicrystal interface fracture Atomistically informed crystal plasticity model for body-centred cubic iron FE2AT ・ finite element informed atomistic simulations Multiscale fatigue crack growth modeling for welded stiffened panels Molecular dynamics study on low temperature brittleness in tungsten single crystals Multi scale cellular automata and finite element based model for cold deformation and annealing of a ferritic-pearlitic microstructure Multiscale simulation of the mechanical behavior of nanoparticle-modified polyamide composites Part III: Multiscale simulations of biological and bio-inspired materials, bio-sensors and composites Multiscale Modeling of Nano-Biosensors Finite strain compressive behaviour of CNT/epoxy nanocomposites Peptide・zinc oxide interaction |
| young nn modeling: Population Ecology in Practice Dennis L. Murray, Brett K. Sandercock, 2020-02-10 A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses of population dynamics; and current approaches for genetic and spatial analysis. Each chapter is illustrated by empirical examples based on real datasets, with a companion website that offers online exercises and examples of computer code in the R statistical software platform. Fills a niche for a book that emphasizes applied aspects of population analysis Covers many of the current methods being used to analyse population dynamics and structure Illustrates the application of specific analytical methods through worked examples based on real datasets Offers readers the opportunity to work through examples or adapt the routines to their own datasets using computer code in the R statistical platform Population Ecology in Practice is an excellent book for upper-level undergraduate and graduate students taking courses in population ecology or ecological statistics, as well as established researchers needing a desktop reference for contemporary methods used to develop robust population assessments. |
| young nn modeling: Springer Handbook of Glass J. David Musgraves, Juejun Hu, Laurent Calvez, 2019-11-08 This handbook provides comprehensive treatment of the current state of glass science from the leading experts in the field. Opening with an enlightening contribution on the history of glass, the volume is then divided into eight parts. The first part covers fundamental properties, from the current understanding of the thermodynamics of the amorphous state, kinetics, and linear and nonlinear optical properties through colors, photosensitivity, and chemical durability. The second part provides dedicated chapters on each individual glass type, covering traditional systems like silicates and other oxide systems, as well as novel hybrid amorphous materials and spin glasses. The third part features detailed descriptions of modern characterization techniques for understanding this complex state of matter. The fourth part covers modeling, from first-principles calculations through molecular dynamics simulations, and statistical modeling. The fifth part presents a range of laboratory and industrial glass processing methods. The remaining parts cover a wide and representative range of applications areas from optics and photonics through environment, energy, architecture, and sensing. Written by the leading international experts in the field, the Springer Handbook of Glass represents an invaluable resource for graduate students through academic and industry researchers working in photonics, optoelectronics, materials science, energy, architecture, and more. |
| young nn modeling: 4M 2006 - Second International Conference on Multi-Material Micro Manufacture Stefan Dimov, Wolfgang Menz, Bertrand Fillon, 2006-09-15 4M 2006 - Second International Conference on Multi-Material Micro Manufacture covers the latest state-of-the-art research results from leading European researchers in advanced micro technologies for batch processing of metals, polymers, and ceramics, and the development of new production platforms for micro systems-based products. These contributions are from leading authors at a platform endorsed and funded by the European Union R&D community, as well as leading universities, and independent research and corporate organizations. - Contains authoritative papers that reflect the latest developments in micro technologies and micro systems-based products |
| young nn modeling: Affective, Cognitive and Social Neuroscience: New Knowledge in Normal Aging, Minor and Major Neurocognitive Disorders Rosalba Morese, Sara Palermo, Antonella Carassa, 2022-03-21 |
| young nn modeling: Optimization Models Giuseppe C. Calafiore, Laurent El Ghaoui, 2014-10-31 This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects. |
| young nn modeling: Nuclear Science Abstracts , 1968-07 |
| young nn modeling: Peridynamic Modeling, Numerical Techniques, and Applications Erkan Oterkus, Selda Oterkus, Erdogan Madenci, 2021-04-24 This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more. From there, it segues into coverage of cutting-edge applications of peridynamics, exploring its biological applications, modeling at the nanoscale, peridynamics for composites delamination and damage in ceramics, and more, concluding with a chapter on the application of artificial intelligence and machine learning in peridynamics. - Covers modeling methods, numerical techniques, applications, and future directions for the field - Discusses techniques such as dual-horizon peridynamics, damage modeling using the phase-field approach, and contact analysis of rigid and deformable bodies with refined non-ordinary state-based peridynamics - Looks at a range of different peridynamic applications such as ice modeling, fiber-reinforced composite modeling, modeling at nanoscale, and more |
| young nn modeling: Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024) Carlo Rainieri, Carmelo Gentile, Manuel Aenlle López, 2024-06-21 This volume gathers the latest advances and innovations in the field of operational modal analysis and structural health monitoring, as presented at the 10th International Operational Modal Analysis Conference (IOMAC), held in Naples, Italy on May 22-24, 2024. The contributions cover a diverse range of topics, including AI for data interpretation, automatic modal parameter estimation, Digital Twin, modal testing methods, instrumentation and case studies, model correlation and updating, modal-based SHM, modal mass estimation. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations. |
| young nn modeling: Nanoengineering of Structural, Functional and Smart Materials Mark J. Schulz, Ajit D. Kelkar, Mannur J. Sundaresan, 2005-08-29 In chapters contributed by 24 university & government laboratories, Nanoengineering of Structural, Functional, and Smart Materials combines wide-ranging research aimed at the development of multifunctional materials that are strong, lightweight, and versatile. This book explores promising and diverse approaches to the design of nanoscale |
| young nn modeling: A Companion to Economic Forecasting Michael P. Clements, David F. Hendry, 2008-04-15 A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed. |
| young nn modeling: Computational Methods G.R. Liu, V.B.C. Tan, X. Han, 2007-05-26 The First International Conference on Computational Methods (ICCM04), organized by the department of Mechanical Engineering, National University of Singapore, was held in Singapore, December 15-17, 2004, with great success. This conference proceedings contains some 290 papers from more than 30 countries/regions. The papers cover a broad range of topics such as meshfree particle methods, Generalized FE and Extended FE methods, inverse analysis and optimization methods. Computational methods for geomechanics, machine learning, vibration, shock, impact, health monitoring, material modeling, fracture and damage mechanics, multi-physics and multi-scales simulation, sports and environments are also included. All the papers are pre-reviewed before they are accepted for publication in this proceedings. The proceedings will provide an informative, timely and invaluable resource for engineers and scientists working in the important areas of computational methods. |
| young nn modeling: Computational Science – ICCS 2021 Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot, 2021-06-09 The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. |
| young nn modeling: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger, 2018-09-13 The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications. |
| young nn modeling: Nuclear Structure Models - Proceedings Of The International Workshop Witold Nazarewicz, Jerry P Draayer, Ragnar Bengtsson, 1993-02-03 This book consists of pedagogical contributions on currently viable theories of nuclear structure and critical evaluative comments on each of these theories. |
| young nn modeling: Duroc-Jersey Swine Record , 1914 |
Why investing in young people has never been more important
Jan 21, 2025 · Young people are pioneering new ways to tackle urgent crises. The Global Shapers Impact Report calls for more support for young changemakers.
Inspiring young minds to create climate change solutions
Jun 4, 2025 · Young people need high-quality, solutions-focussed online science resources to help them understand climate change and feel inspired to develop solutions.
Young Global Leaders | World Economic Forum
The Forum of Young Global Leaders is a Foundation dedicated to shaping responsible leaders who are committed to improving the state of the world. Through its three-year program, it …
A new generation of changemakers: Meet the YGL Class of 2025
Apr 15, 2025 · The World Economic Forum announces the Young Global Leaders (YGL) Class of 2025, a cohort of 116 remarkable individuals who are shaping industries and driving progress …
Youth face a mental health perfect storm. Here's how to help
Mar 7, 2025 · Young people worldwide are facing a generational mental health crisis. Economic, social and environmental issues are putting them under unprecedented pressure. The Youth …
Young people hold the key to creating a better future
Aug 12, 2021 · Young people are the most affected by the crises facing our world, but they are also the best placed to lead the way to a better society for tomorrow.
Young people have the power to break barriers to women’s …
Mar 7, 2025 · Women continue to face systemic obstacles in education, employment, digital access and more – but three youth-led initiatives show how gender equality can begin at the …
3 biggest issues affecting youth today - World Economic Forum
Jan 15, 2020 · If we talk about youth problems, here are the 3 biggest issues that affect the youth in today's time. Youth challenges are different today than they were 50 years ago.
Three effective ways to tackle worldwide youth employment
Oct 8, 2024 · Nearly 65 million youth worldwide are unemployed, with many young people at the start of their work life having been impacted by the pandemic. The Global South, especially …
5 charts that show the state of global youth employment in 2024
Aug 29, 2024 · The global labour market for young people is on an upward trajectory – but gender and geography are reducing opportunities for some, finds a new report.
Why investing in young people has never been more important
Jan 21, 2025 · Young people are pioneering new ways to tackle urgent crises. The Global Shapers Impact Report calls for more support for young changemakers.
Inspiring young minds to create climate change solutions
Jun 4, 2025 · Young people need high-quality, solutions-focussed online science resources to help them understand climate change and feel inspired to develop solutions.
Young Global Leaders | World Economic Forum
The Forum of Young Global Leaders is a Foundation dedicated to shaping responsible leaders who are committed to improving the state of the world. Through its three-year program, it …
A new generation of changemakers: Meet the YGL Class of 2025
Apr 15, 2025 · The World Economic Forum announces the Young Global Leaders (YGL) Class of 2025, a cohort of 116 remarkable individuals who are shaping industries and driving progress …
Youth face a mental health perfect storm. Here's how to help
Mar 7, 2025 · Young people worldwide are facing a generational mental health crisis. Economic, social and environmental issues are putting them under unprecedented pressure. The Youth …
Young people hold the key to creating a better future
Aug 12, 2021 · Young people are the most affected by the crises facing our world, but they are also the best placed to lead the way to a better society for tomorrow.
Young people have the power to break barriers to women’s …
Mar 7, 2025 · Women continue to face systemic obstacles in education, employment, digital access and more – but three youth-led initiatives show how gender equality can begin at the …
3 biggest issues affecting youth today - World Economic Forum
Jan 15, 2020 · If we talk about youth problems, here are the 3 biggest issues that affect the youth in today's time. Youth challenges are different today than they were 50 years ago.
Three effective ways to tackle worldwide youth employment
Oct 8, 2024 · Nearly 65 million youth worldwide are unemployed, with many young people at the start of their work life having been impacted by the pandemic. The Global South, especially …
5 charts that show the state of global youth employment in 2024
Aug 29, 2024 · The global labour market for young people is on an upward trajectory – but gender and geography are reducing opportunities for some, finds a new report.
