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Neurodegeneration in Multiple Sclerosis
In multiple sclerosis (MS), conventional magnetic resonance imaging (cMRI) has proved to be a valuable tool to increase diagnostic reliability and to monitor the efficacy of experimental treatment. However, cMRI has limited specificity and accuracy as to the most disabling aspects of the MS pathology, known to occur in and outside macroscopic lesions. Modern quantitative MR techniques have the potential to overcome the limitations of cMRI, and their application is dramatically changing our understanding of how MS causes irreversible disability.
Neuroanatomy for the Neuroscientist
Neurology, more than any other system of medicine, is rooted in the firm knowledge of basic science material (i.e., the anatomy, physiology, and pathology of the nervous system). This material enables students to readily arrive at diagnoses and to apply their knowledge at solving problems in clinical situations. Neuroanatomy for the Neuroscientist gives neuroscientists the tools to teach this material at levels appropriate for students at several levels of study, including undergraduate, graduate, dental, and medical school. The text also provides an updated approach to lesion localization in neurology, utilizing the techniques of computerized axial tomography (CT scanning), magnetic resonance imaging (MRI), and magnetic resonance angiography (MRA). Multiple illustrations demonstrating the value of these techniques in clinical neurology and neuroanatomical localization has been provided.
Neuroanatomical Tract-Tracing : Molecules, Neurons, and Systems
"The content of the book also serves to emphasize that neuroanatomy is, perhaps more than ever, a thriving and important part of the neurosciences...Most contributions have in common the combination of modern tract-tracing methods with other means of characterizing neural tissue, and thus the book also serves to highlight the gradual disappearance of borders between traditional neuroanatomy and other approaches to the study of the nervous system...this book should continue to be a useful source of information, and deserves to be available in all laboratories applying or considering to apply neuroanatomical methods."
Neural Networks in a Softcomputing Framework
This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.
Neural Networks and Sea Time Series : Reconstruction and Extreme-Event Analysis
This book, a careful blend of theory and applications, is an excellent introduction to the use of ANN, which may encourage readers to try analogous approaches in other important application areas. Researchers, practitioners, and advanced graduate students in neural networks, hydraulic and marine engineering, prediction theory, and data analysis will benefit from the results and novel ideas presented in this useful resource.
Neural networks and deep learning
Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.
Neural Networks : Methodology and Applications
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts ands seemlessly edited to present a coherent and comprehensive, yet not redundant, practically-oriented introduction.
Neural Networks : Computational Models and Applications
Neural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. By presenting various computational models, this book is developed to provide readers with a quick but insightful understanding of the broad and rapidly growing areas in the neural networks domain. Besides laying down fundamentals on artificial neural networks, this book also studies biologically inspired neural networks. Some typical computational models are discussed, and subsequently applied to objection recognition, scene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis.
Neural Network Theory
Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world.
Neural Network Driven Artificial Intelligence : Decision Making Based On Fuzzy Logic
Artificial Intelligence, Computer Science and Internet, Computer Science, Technology and Applications, Mathematics Research Developments
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models ,supervised /unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Networking and Mobile Computing ; 3rd International Conference, ICCNMC 2005, Zhangjiajie, China, August 2-4, 2005, Proceedings
The objective of this conference was to address and capture highly innovative and stateof-the-art research and work in the networks and mobile computing industries. ICCNMC 2005 allowed sharing of the underlying theories and applications, and the establishment of new and long-term collaborative channels aimed at developing innovative concepts and solutions geared to future markets. The highly positive response to ICCNMC 2001 and ICCNMC 2003, held in Beijing and Shanghai, respectively, encouraged us to continue this international event. In its third year, ICCNMC 2005 continued to provide a forum for researchers, professionals, and industrial practitioners from around the world to report on new advances in computer network and mobile computing, as well as to identify issues and directions for research and development in the new era of evolving technologies.
NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet ; 7th International IFIP-TC6 Networking Conference Singapore, May 5-9, 2008 Proceedings
The 82 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on ad hoc and sensor networks: design and optimization, MAC protocol, overlay networking, and routing; next generation internet: authentication, modeling and performance evaluation, multicast, network measurement and testbed, optical networks, peer-to-peer and overlay networking, peer-to-peer services, QoS, routing, security, traffic engineering, and transport protocols; wireless networks: MAC performance, mesh networks, and mixed networks.
NETWORKING 2005. Networking Technologies, Services, and Protocols ; Performance of Computer and Communication Networks ; Mobile and Wireless Communications Systems ; 4th International IFIP-TC6 Networking Conference, Waterloo, Canada, May 2-6, 2005, Proceedings
This book constitutes the refereed proceedings of the 4th International IFIP-TC6 Networking Conference, NETWORKING 2005, held in Waterloo, Canada in May 2005. The 105 revised full papers and 36 posters were carefully reviewed and selected from 430 submissions. The papers are organized in topical sections on peer-to-peer networks, Internet protocols, wireless security, network security, wireless performance, network service support, network modeling and simulation, wireless LAN, optical networks, Internet performance and Web applications, ad-hoc networks, adaptive networks, radio resource management, Internet routing, queuing models, monitoring, network management, sensor networks, overlay multicast, QoS, wirless scheduling, multicast traffic management and engineering, mobility management, bandwith management, DCMA, and wireless resource management.
Networked RFID Systems and Lightweight Cryptography : Raising Barriers to Product Counterfeiting
This book considers the methods used by illicit manufactures and traders to introduce counterfeit goods into the supply chain, the extent of their success, the various barriers that may be brought against their actions, and the effectiveness of those barriers. The new field of lightweight cryptography is described in the context of using RFID systems in the fight against counterfeit products, its cost effectiveness is examined and feasible approaches to its deployment are described. Research problems and likely avenues for solutions are also presented to guide a global effort in anti-counterfeiting.
Networked RFID : Systems, Software and Services
Begins with a quick introduction to RFID basics and then discusses the various elements of the topic, using applications such as e-passports, ticketing and supply-chain management throughout. The text explores RFID technology fundamentals, including operating principles, core system components and performance trade-offs involved in the selection of specific RFID platforms. The emphasis is on a practical approach, developing an arsenal of techniques and designs that can be mixed and matched to fit the needs of new systems and applications.
Networked Control Systems: Theory and Applications
Networked Control Systems presents the most recent results in stability and robustness analysis as well as new developments related to networked fuzzy and optimal control. Many of the chapters contain details of case-studies, experimental, simulation and/or other application-related work showing how the theories put forward can be implemented in real systems.
Network-Centric Collaboration and Supporting Frameworks ; IFIP TC 5 WG 5.5, Seventh IFIP Working Conference on Virtual Enterprises, 25-27 September 2006, Helsinki, Finland
This book contains a number of selected articles from PRO-VE’06, the seventh working conference on virtual enterprises held in Helsinki, Finland, which was sponsored by the International Federation for Information Processing (IFIP) and the Society of Collaborative Networks (SOCOLNET). Being recognized as the most focused scientific and technical conference on Collaborative Networks, PRO-VE continues offering the opportunity for presentation and discussion of both the latest research developments as well as the practical application case studies. Following the vision of IFIP and SOCOLNET, the PRO-VE conference offers a forum for collaboration and knowledge exchange among experts from different regions of the world.
Network-Based Information Systems ; 2nd International Conference, NBiS 2008, Turin, Italy, September 1-5, 2008. Proceedings
Constitutes the refereed proceedings of the Second International Conference on Network-Based Information Systems, NBIS 2008, held in Turin, Italy, September 1-5, 2008 in conjunction with Dexa 2008.The 32 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on wireless networks; heterogeneous networks; ad hoc networks; P2P, grid and internet computing; ad hoc and sensor networks; intelligent algorithms and systems; secure systems and applicatinos as well as network tools and architectures.
