Building on the major research interest of the authors for over 20 years, this volume reflects on what has been achieved at world-level in the demanding field of models and modeling in science educati
This book presents cutting-edge, peer reviewed research on networked learning organized by three themes: policy in networked learning, researching networked learning, and boundaries in networked learn
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, whi
This monograph presents some theoretical and computational aspects of the parameterization method for invariant manifolds, focusing on the following contexts: invariant manifolds associated with fixed
This is a book about cities or, more precisely, about the physical form of cities. It starts presenting the main elements of urban form – streets, urban blocks, plots and buildings – structuring our c
This book provides a comprehensive description of traditional and innovative forest-based bioproducts, from pulp and paper, wood-based composites and wood fuels to chemicals and fiber-based composites
This text presents the mathematical concepts of Grassmann variables and the method of supersymmetry to a broad audience of physicists interested in applying these tools to disordered and critical syst
This book presents a collection of recent research on building diagnosis techniques related to construction pathology, hygrothermal behavior and durability, and diagnostic techniques. It highlights re
This book focuses on mobile learning design from both theoretical and practical perspectives. It introduces and discusses how mobile learning can be effectively integrated into curricula, highlighting
?This book presents a new statistical method of constructing a price index of a financial asset where the price distributions are skewed and heavy-tailed and investigates the effectiveness of the meth
In this book, the educational theory of metacognitive learning and its instructional implications are used to describe and illustrate how learners can become effective or self-directive learners. Firs
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically
This handy workbook covers the essential components of electrocardiography (ECG or EKG) and is useful in helping the reader identify a number of conditions, including arrhythmias, conduction blocks an
This thesis describes a method to control rare events in non-equilibrium systems, by applying physical forces to those systems, but without relying on numerical simulation techniques, such as copying
The book addresses different areas of corpus-based translation studies, including corpus-based study of translation features, translator’s style, norms of translation, translation practice, translator
This book discusses the issues relevant to the evaluation of the thermal energy balance of buildings in southern Europe and equips readers to carry out optimal building energy-performance assessments
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random for
Mobile technologies have been used in higher education for many years. They provide good solutions for teaching and learning and make learning available anywhere and anytime. This book includes six se
This book explains how to combine and exploit sensor networks and internet-of-things (IoT) technologies and Web-service design patterns to enrich and integrate Building Information Models (BIMs). It p
The subject of the book is the mathematical theory of the discontinuous Galerkin method (DGM), which is a relatively new technique for the numerical solution of partial differential equations. The boo
This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique
This textbook explores both the theoretical foundations of the Finite Volume Method (FVM) and its applications and implementation in Computational Fluid Dynamics (CFD) codes. Readers will discover a t
The book Heat Shock Protein-Based Therapies provides the most up-to-date review on new heat shock protein-based mechanisms used in the therapy and treatment of various human disorders and diseases, in
During the last several decades, self-regulation of learning has permeated all areas of learning and development, including teaching preparation programs. Self-regulatory competences are essential for
This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the
This book posits the idea that networked learning is the one new paradigm in learning theory that has resulted from the introduction of digital and networked technologies. It sets out, in a single vol
This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the clas
Presenting an overview of the use of Phase Change Materials (PCMs) within buildings, this book discusses the performance of PCM-enhanced building envelopes. It reviews the most common PCMs suitable fo
This book presents current research into the catalytic combustion of methane using perovskite-type oxides (ABO3). Catalytic combustion has been developed as a method of promoting efficient combustion
This book emphasizes in detail the applicability of the Optimal Homotopy Asymptotic Method to various engineering problems. It is a continuation of the book “Nonlinear Dynamical Systems in Engineering
This book illuminates what must always be at the heart of powerful schooling and authentic learning. Its focus is on free learning, with an emphasis on early East Asian thought as a vehicle through wh
Efficient Learning Machines explores all the major topics of machine learning, including big data, knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and gami
This book examines the nexus between nation-building and history education globally and the implication for cultural diversity and social justice. It studies some of the major education reforms and po
This book analyses the potentials and consequences of a change from production-based to consumption-based approaches in international climate policy. With the help of an analytical model, the author i
The European system of insurance supervision under Solvency II constitutes a parallel to supervision of credit institutions under Basel III. At the heart of this new European insurance supervisory reg
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series co
This comprehensive presentation of the integral equation method as applied to electro-analytical experiments is suitable for electrochemists, mathematicians and industrial chemists. The discussion foc
It is well established that the sliding mode control strategy provides an effective and robust method of controlling the deterministic system due to its well-known invariance property to a class of bo
This textbook offers theoretical and practical knowledge of the finite element method. The book equips readers with the skills required to analyze engineering problems using ANSYSR, a commercially ava
This volume presents an in-depth review of experimental and theoretical studies on the newly discovered Fe-based superconductors. Following the Introduction, which places iron-based superconductors in
