Bücher der Reihe SpringerBriefs in Applied Sciences and Technology

Finally, the techniques most used to visualize cardiac flows and validate numerical models are detailed, paying special attention to Magnetic Resonance Imaging (MRI) in case of an in vivo validation and Particle Image Velocimetry (PIV) for an in vitro validation.

This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical diagnosis. The main idea is that the proposed method may be able to adapt to medical diagnosis problems in different possible areas of the medicine and help to have an improvement in diagnosis accuracy considering a clinical monitoring of 24 hours or more of the patient.In this book, tests were made with different architectures proposed in the different modules of the proposed model. First, it was possible to obtain the architecture of the fuzzy classifiers for the level of blood pressure and for the pressure load, and these were optimized with the different bio-inspired algorithms (Genetic Algorithm and Chicken Swarm Optimization). Secondly, we tested with a local database of 300 patients and good results were obtained. It is worth mentioning that this book is an important part of the proposed generalmodel; for this reason, we consider that these modules have a good performance in a particular way, but it is advisable to perform more tests once the general model is completed.

This book is focused on wireless infrastructure deployment in modern transportation markets, where the wireless infrastructure co-exists with the existing structure.

This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data.

This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area.

This research makes a diagnosis and discusses the way to develop this sustainable mode of transportation.By combining quantitative results in the form of tables, figures, and maps, and including qualitative results in the form of quotations from survey participants, this book provides a thorough and enjoyable read.

This book is about the optimization of the characterization of the thermal properties of building envelopes, through experimental tests and the use of artificial intelligence.

This book introduces a range of image color feature extraction techniques. In addition, the book can be used as an introduction to image color feature techniques for those who are new to the research field and software.

This book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation in manufacturing;

The contents of the book consist of three parts: (i) basic theory of stochastic control and formulation of various option pricing models, (ii) design of finite volume, finite difference and penalty-based algorithms for solving the models and (iii) stability and convergence analysis of the algorithms.

This book illustrates the computational framework based on knowledge of flow and mass transfer together with optimization techniques to solve problems relevant to micromixing technology.

This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems are analyzed by modeling, using networks that are aptly called complex networks. Networks are becoming ubiquitous as they can represent many real-world relational data, for instance, information networks, molecular structures, telecommunication networks and protein¿protein interaction networks. Analysis of these networks provides advantages in many fields such as recommendation (recommending friends in a social network), biological field (deducing connections between proteins for treating new diseases) and community detection (grouping users of a social network according to their interests) by leveraging the latent information of networks. An active and important area ofcurrent interest is to come out with algorithms that learn features by embedding nodes or (sub)graphs into a vector space. These tasks come under the broad umbrella of representation learning. A representation learning model learns a mapping function that transforms the graphs' structure information to a low-/high-dimension vector space maintaining all the relevant properties.

This book defines the concept of nanoparticles from the point of view of statistical physics and quantum physics. It elucidates the process of self-organization of nanoparticles released from the frozen liquid dispersion at the sublimation interface and mathematical simulations of the corresponding processes.

The book provides an understanding of how service design and design thinking could address the needs of organisations in tackling processes of transformations which include changes in the way people behave, interact and grow.

This book presents and discusses methodological approaches and operational tools aimed at increasing the awareness and skills necessary to face the social, economic and environmental challenges usually encountered in spatial planning.

This book presents a comparative study on the static responses of the Euler-Bernoulli beam governed by nonlocal theories, including the Eringen's stress-gradient beam theory, the Mindlin's strain-gradient beam theory, the higher-order beam theory and the peridynamic beam theory.

This book discusses sustainable waste management technologies for managing end-of-life (EoL) post-consumer and packaging plastic solid waste (PSW) from domestic and commercial waste streams.

This book presents a complete framework for energy harvesting technologies based on graded elastic metamaterials. First, it provides a comprehensive survey of state-of-the-art research on metamaterials for energy harvesting and then explores the theoretical wave mechanics framework, going from inhomogeneous media to graded elastic metamaterials.

This book consists of the research, design and implementation, from sizing to layout with parasitic extraction and yield estimation, of a low-power, low-noise amplifier for biomedical and healthcare applications of bio-potential signals, particularly focusing on the electromyography and electrooculography.

This book highlights the importance of incorporating coal bottom ash (CBA) into self-compacting concrete exposed to aggressive conditions.

This book emphasizes that learning efficiency of the learners can be increased by providing personalized course materials and guiding them to attune with suitable learning paths based on their characteristics such as learning style, knowledge level, emotion, motivation, self-efficacy and many more learning ability factors in e-learning system.

This book proposes strategies for FM services optimization and innovation, based on innovative models of IoT application and big data management within FM processes, able to support FM stakeholders in: orienting and managing big data flows and their sources (sensor, RFID, etc.);

This open access book represents one of the key milestones of PoliVisu, an H2020 research and innovation project funded by the European Commission under the call ¿Policy-development in the age of big data: data-driven policy-making, policy-modelling and policy-implementation¿.It investigates the operative and organizational implications related to the use of the growing amount of available data on policy making processes, highlighting the experimental dimension of policy making that, thanks to data, proves to be more and more exploitable towards more effective and sustainable decisions. The first section of the book introduces the key questions highlighted by the PoliVisu project, which still represent operational and strategic challenges in the exploitation of data potentials in urban policy making. The second section explores how data and data visualisations can assume different roles in the different stages of a policy cycle and profoundly transform policymaking.

This book reviews collagen-based biomaterials that have been applied broadly to tissue engineering and local drug delivery applications and lays out a landscape for developing a multifunctional biograft material from collagen polymers.

This book addresses conventional treatments of bone diseases. It proposes nanotechnological tools based on the use of silica as a bioactive material for bone. The book links the physiological and anatomical aspects of the bone with the ancestral importance of the bone system.

This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event.

This book covers manufacturing and processing of various natural filler-based polymer composites using conventional and advanced machining processes.

This book presents a step-by-step methodology for the design of ramjet engines. This book is of interest to engine designers and engineers, researchers, and graduate students, as it collates research in a succinct, clear guide to the issue of designing ramjet engines.