Neural Approaches to Dynamics of Signal Exchanges, Anna Esposito; Marcos Faundez-Zanuy; Francesco Car

Автор: Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl
Название: Multidisciplinary Approaches to Neural Computing
ISBN: 3319860313 ISBN-13(EAN): 9783319860312
Издательство: Springer
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Описание: This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users.Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to – which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) – ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book.This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies.

Автор: Chuing Prudence Chou; Jonathan Spangler
Название: Cultural and Educational Exchanges between Rival Societies
ISBN: 9811346461 ISBN-13(EAN): 9789811346460
Издательство: Springer
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Описание: This book stimulates discussions on cultural and educational exchanges between rival states and societies, raises awareness of the potential positive and negative impacts of such exchanges, and serves as a basis for future research and program design. Cultural and educational exchanges in various forms have existed for millennia. Yet it was not until the unprecedented human devastation of two world wars catalyzed a sense of urgency around the world that a new era of cultural and educational exchange programs emerged as a means of easing tensions between rival states and societies. This book is motivated by the need for critical research that can contribute to building a more comprehensive understanding of the issues at stake. It begins with a historical overview of cultural and educational exchanges between rival societies, an assessment of their positive and negative impacts, and a review of some of the most prominent theories in relevant fields. It then presents a diverse set of case studies, in which authors consider not only the real or expected benefits of such exchanges but also the potentially negative impacts, challenges faced along the way, and broader effects on the rival societies at large. The states and societies considered include North Korea and the West, Bosnia and Herzegovina, Israel and the Palestinian territories, India and Pakistan, China and Taiwan, Cuba and the US, and China and the US. Taken together, the chapters demonstrate that exchanges have observable impacts on the individuals and institutions involved. Moreover, they reveal that exchanges have the capacity, in some cases, to affect broader social and political change at the family, community, society, or state level, but these impacts are indirect and typically require long-term concerted efforts by those involved.

Автор: Sambusetti Andrea
Название: Analytic and Probabilistic Approaches to Dynamics in Negativ
ISBN: 3319048066 ISBN-13(EAN): 9783319048062
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Описание: The work consists of two introductory courses, developing different points of view on the study of the asymptotic behaviour of the geodesic flow, namely: the probabilistic approach via martingales and mixing (by Stephane Le Borgne);

Автор: Jan Awrejcewicz; Igor V. Andrianov; Leonid I. Mane
Название: Asymptotic Approaches in Nonlinear Dynamics
ISBN: 3642720811 ISBN-13(EAN): 9783642720819
Издательство: Springer
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Описание: This book covers developments in the theory of oscillations from diverse viewpoints, reflecting the fields multidisciplinary nature. It also offers the first treatment of the asymptotic and homogenization methods in the theory of oscillations in combination with Pad approximations.

Автор: Alexey Sorokin; Panos M. Pardalos
Название: Dynamics of Information Systems: Algorithmic Approaches
ISBN: 1461475813 ISBN-13(EAN): 9781461475811
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012.

Автор: Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl
Название: Multidisciplinary Approaches to Neural Computing
ISBN: 3319569031 ISBN-13(EAN): 9783319569031
Издательство: Springer
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Описание: Redefining Information Processing Through Neural Computing Models.- A Neural Approach for Hybrid Events Discrimination at Stomboli Volcano.- Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.- Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent'' and "Symmetry-Aware'' White Matter Fiber-Bundles.- Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach.- Effective Blind Source Separation Based on the Adam Algorithm.- Depth-based Hand Pose Recognizer Using Learning Vector Quantization.- Correlation Dimension-Based Recognition of Simple Juggling Movements.- Cortical Phase Transitions as an Effect of Topology of Neural Network.- Fall Detection by Using an Innovative Floor Acoustic Sensor.- An improved Hilbert-Huang Transform for Non-Linear and Time-Variant Signals.- Privacy-preserving Data Mining for Distributed Medical Scenarios.- Rule Base Reduction Using Conflicting and Reinforcement Measures.- An Application of Internet Traffic Prediction with Deep Neural Network.- Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.- Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment.- A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context.- Advanced Neural Networks Systems for Unbalanced Industrial Datasets.- Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach.- A Neural Network-Based Approach for Steam Turbine Monitoring.- A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System.- SOM-Based Analysis to Relate Non-Uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions.- Vision-Based Mapping and Micro-Localization of Industrial Components in the Fields of Laser Technology.- When Intuitive Decisions Making, Based on Expertise, May Deliver Better Results than a Rational, Deliberate Approach.- Artificial Entities or Moral Agents? How AI is Changing Human Evolution.

Автор: Alexey Sorokin; Panos M. Pardalos
Название: Dynamics of Information Systems: Algorithmic Approaches
ISBN: 1489989404 ISBN-13(EAN): 9781489989406
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012.

Автор: Nergis Tomen; J. Michael Herrmann; Udo Ernst
Название: The Functional Role of Critical Dynamics in Neural Systems
ISBN: 3030209644 ISBN-13(EAN): 9783030209643
Издательство: Springer
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Описание: This book offers a timely overview of theories and methods developed by an authoritative group of researchers to understand the link between criticality and brain functioning. Cortical information processing in particular and brain function in general rely heavily on the collective dynamics of neurons and networks distributed over many brain areas. A key concept for characterizing and understanding brain dynamics is the idea that networks operate near a critical state, which offers several potential benefits for computation and information processing. However, there is still a large gap between research on criticality and understanding brain function. For example, cortical networks are not homogeneous but highly structured, they are not in a state of spontaneous activation but strongly driven by changing external stimuli, and they process information with respect to behavioral goals. So far the questions relating to how critical dynamics may support computation in this complex setting, and whether they can outperform other information processing schemes remain open. Based on the workshop “Dynamical Network States, Criticality and Cortical Function', held in March 2017 at the Hanse Institute for Advanced Studies (HWK) in Delmenhorst, Germany, the book provides readers with extensive information on these topics, as well as tools and ideas to answer the above-mentioned questions. It is meant for physicists, computational and systems neuroscientists, and biologists.