الصفحة 6
الصفحة 6
New Business Models for the Reuse of Secondary Resources from WEEEs : The FENIX Project
This book summarizes research being pursued within the FENIX project, funded by the EU community under the H2020 programme, the goal of which is to design a new product service paradigm able to promote innovative business models, to open added value to the vessels and to create new market segments. It experiments and validates its approach on three new concepts of added-value specialized vessels able to run requested services for several maritime sectors in the most effective, efficient, economic valuable and eco-friendly way. The three vessels share the same lean design methodology, IoT tools and HPC simulation strategy: a lean fact-based design model approach, which combines real operative data at sea with lean methodology, to support the development and implementation of the vessel concepts; IT customized tools to enable the acquisition, processing and usage of on board and local weather data, through an IoT platform, to provide business services to different stakeholders; HPC simulation, providing a virtual towing tank environment, for early vessel design improvement and testing. The book demonstrates that an integrated LCC analysis and LCC strategy to guarantee sustainability to vessels concepts and the proper environmental attention inside the maritime industry.
New and Old Routes of Portuguese Emigration : Uncertain Futures at the Periphery of Europe
This book offers a comparative overview on Portuguese emigration in Europe and outside the EU in times of recession. In addition to the dynamics of movement, the book provides an in-depth analysis of the heterogeneity of this emigration. It deepens the multifaceted identities concerning social and professional pathways among highly skilled and less skilled emigrants. The labour market continues to be the main regulatory force of Portuguese emigration, which helps to explain the outflow and the processes of settlement and return. Nonetheless, this book demonstrates that non-economic factors have likewise been of great importance in the decision to emigrate.
New advances in audio signal processing
In the era of digitalization, audio signal processing is gaining peculiar relevance as an automation and remote analysis means, also considering its enhancement by novel artificial intelligence (AI) techniques. This Reprint aims to offer an overview of the current developments in all fields that revolve around audio processing: from advancements in the acoustic domain to deep learning architectures for the audio-based analysis of real-world problems such as pitch detection or pathology identification.
Neuronal cell death : Methods and protocols
Covers comprehensive methods on ways to assess structural and ultrastructural changes in the mitochondria, cytoskeleton, and microglia using state-of-the-art microscopy techniques including super-resolution imaging, electron microscopy, and ultra-high field MRI. The chapters in this book cover topics such as analysis of neurodegeneration in the post-mortem characterization of preclinical animal models, in vivo modeling in cell death in different model systems and brain organoids, single cell clonal analysis using Mosaic Analysis with Double Markers in genetic mouse models, and genome and proteomic methods for analysis of mRNA dynamics and quantitation of targeted peptides.
Neuromuscular Disease : Evidence and Analysis in Clinical Neurology
Through a series of questions and answers concerning specific neuromuscular disorders, each chapter critiques the best available evidence to illustrate strengths and weaknesses of the data and make the reader aware of the quality of clinical research studies in general. Introductory chapters facilitate this learning process by elucidating the epidemiological and biostatistical issues pertinent to diagnosis, treatment, and prognosis. A broad range of disorders of the anterior horn cell, nerve roots, peripheral nerves, neuromuscular junction, and muscle are critically appraised and discussed.
Neuroeconomia, neuromarketing e processi decisionali = Neuroeconomics, neuromarketing and decision-making processes
The book covers a sector, that of the application of modern neuroscience techniques to the fields of economics and marketing, recently born and of great interest to the public, to advertisers as well as to neuroscience scholars. The book presents, in plain language and not for experts in the field, the structure and functioning of the brain (as it is known today) during human decision-making processes. Of interest is the analysis of how the different neuronal systems within the brain can cooperate with each other in generating decisions. All this simple physiological treatment is inserted in the context of the analysis of brain activity while watching commercial clips. In the original study presented in this book, the variables involved were those related to the recall of television advertising in a sample of normal young subjects. This study is simply the first that is carried out of this type in Italy and will be intended to be a reference point for subsequent studies in the sector.
Neurobiology : Methods and protocols
Serves as a guide for students in the field of neurobiology, and be a bridge between basic science researchers, doctors, and surgeons in clinical practice. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
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 : 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.
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 Performance Analysis : Using the J Programming Language
This useful volume introduces concepts and principles of network performance analysis by example, using the J programming language. J is rich in mathematical functionality, which makes it an ideal tool for analytical methods. The book favours a practical approach and develops functions in J to demonstrate mathematical concepts, thereby enabling readers to explore the underlying principles behind network performance analysis. In addition, this allows the subject to become more accessible to those who, although have a mathematical background, are not pure mathematicians.
Network Models and Optimization : Multiobjective Genetic Algorithm Approach
Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems.
Network Classification For Traffic Management : Anomaly detection, feature selection, clustering and classification
Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks. Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. The authors explore novel methods for enhancing network statistics at the transport layer, helping to identify optimal feature selection through a global optimization approach and providing automatic labelling for raw traffic through a SemTra framework to maintain provable privacy on information disclosure properties.
Network Analysis : Methodological Foundations
‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.
Netherlands yearbook of international law 2019 : Yearbooks in international law : History, function and future
This volume of the Netherlands Yearbook of International Law (NYIL) is the fiftieth in the Series, which means that the NYIL has now been with us for half a century. The editors decided not to let this moment go by unnoticed, but to devote this year's edition to an analysis of the phenomenon of yearbooks in international law.The Netherlands Yearbook of International Law was first published in 1970. It offers a forum for the publication of scholarly articles in a varying thematic area of public international law.
Net-Centric Approaches to Intelligence and National Security
Net-Centric Approaches to Intelligence and National Security considers the web architectures and recent developments that make net-centric approaches for intelligence and national security possible. The development of net-centric approaches for intelligence, national & homeland security applications has become a major concern in many areas such as defense intelligence and national and international law enforcement agencies, especially since the terrorist attacks of 9/11. Net-Centric Approaches to Intelligence and National Security presents developments in information integration and recent advances in web services including the concept of the semantic web. Discovery analysis and management of web-available data pose a number of interesting challenges for research in web-based management systems. Intelligent agents and data mining are among the techniques employed. A number of specific systems that are net-centric based in various areas of military applications, intelligence and law enforcements are presented utlilizing one or more of such techniques Net-Centric Approaches to Intelligence and National Security is designed for a professional audience of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.
Nearest Neighbor Search : A Database Perspective
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.
Navigating digital communication and challenges for organizations
Presents a range of methods, strategies, and viewpoints on digital communication and offers an in-depth analysis of the wide range of organisational and strategic communication topics, related concepts, cross-cultural perspectives, and principles to develop interdisciplinary approaches to digital and organisational communication.
Natural Language Processing and Text Mining
Natural Language Processing and Text Mining not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e., use of Text Mining to facilitate NLP. It explores a variety of real-world applications of NLP and text-mining algorithms in comprehensive detail, placing emphasis on the description of end-to-end solutions to real problems, and detailing the associated difficulties that must be resolved before the algorithm can be applied and its full benefits realized.
