الصفحة 9
الصفحة 9
Contemporary Qualitative Research : Exemplars for Science and Mathematics Educators
This volume offers a unique set of research exemplars for science, mathematics and technology educators. The volume explores the important challenge of how to translate leading-edge methodologies into practical research strategies and techniques. The book is divided into three major sections, The Golden Age of Research, Meeting the Research Crises and A New Era of Research, with chapters exploring a variety of methodologies and representational forms and texts. These include historical, narrative, literary, phenomenological, autobiographical, virtual and performance texts, among others. Qualitative Research in Postmodern Times is an exciting and accessible book that will be essential reading for science, mathematics and technology educators interested in new forms of educational research. Beginning researchers will find it practically helpful in planning and conducting their research studies, while experienced researchers will welcome new theoretical insights into postmodern methodologies.
Contemporary Empirical Methods in Software Engineering
This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research.
Computing Meaning : Vol.3
This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.
Computational methods for rational drug design
Covers the tools and techniques of drug design with applications to the discovery of small molecule-based therapeutics, detailing methodologies and practical applications and addressing the challenges of techniques like AI/ML and drug design for unknown receptor structures. Divided into 23 chapters, the contributors address various cutting-edge areas of therapeutic importance such as neurodegenerative disorders, cancer, multi-drug resistant bacterial infections, inflammatory diseases, and viral infections.
Computational Intelligence in Fault Diagnosis
Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, this book opens with a review of the state-of-the-art before moving on to focus on various theoretical aspects of computational intelligence methodologies applied to real-world fault diagnosis problems.
Computational intelligence in biomedicine and bioinformatics : Current trends and applications
The purpose of this book is to provide an overview of powerful state-of-the-art methodologies that are currently utilized for biomedicine and/ or bioinformatics-oriented applications, so that researchers working in those fields could learn of new methods to help them tackle their problems.
Computational intelligence and bioinformatics ; International conference on intelligent computing, ICIC 2006, Kunming, China, August 16-19, 2006, Proceedings, Part III
The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing.the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers related to this theme were especially solicited, including theories, methodologies, and applications in science and technology.
Computational drug discovery and design
Provides new and updated methods and techniques for identification of drug target, binding sites prediction, high- throughput virtual screening, lead discovery and optimization, conformational sampling, prediction of pharmacokinetic properties using computer-based methodologies. Chapters also focus on the application of the latest artificial intelligence technologies for computer aided drug discovery.
Combinatorics, Algorithms, Probabilistic and Experimental Methodologies ; 1st International Symposium, ESCAPE 2007, Hangzhou, China, April 7-9, 2007, Revised Selected Papers
This book address practical large data processing problems with different, and eventually converging, methodologies from major important disciplines such as computer science, combinatorics, and statistics. The symposium provides an interdisciplinary forum for researchers across their discipline boundaries to exchange their approaches, to search for ideas, methodologies, and tool boxes, to find better, faster and more accurate solutions thus fostering innovative ideas as well as to develop research agenda of common interest.
Collaborative Product Design and Manufacturing Methodologies and Applications
Collaborative Product Design and Manufacturing Methodologies and Applications is an introduction to a wide spectrum of collaborative engineering issues in design and manufacturing. It contains state-of-the-art chapters written by international experts from academia and industry and reflects the most up-to-date R&D work and applications, especially those from the last three to five years. Collaborative Product Design and Manufacturing Methodologies and Applications is an essential reference for academics, upper-level undergraduate and graduate students and practitioners specialising in collaborative design and manufacturing issues, concurrent engineering, Internet-based/intelligent design and manufacturing, CAD/PDM/CAPP/CAM, Internet applications, product lifecycle management, supply chain, etc.
Coherence, Truth and Testimony
Coherence is a burgeoning topic of research. Diverse methodologies have been applied to shed light on the topic and its relevance to fundamental questions throughout philosophy. The collection brings together the full scope of this research in a single volume. The first group of essays attack the core topic of the book: coherence. Authors in this section take up the challenging and controversial task of measuring the coherence of an information set, while others criticize this endeavor. The second group of papers in the collection relate this foundational research to a wide array of epistemological and metaphysical challenges. For example, some papers consider the relationship between truth and coherence. Is coherence truth conducive, and if yes, under which conditions? A related issue taken up in this volume is the connection between coherence and testimony. Are we justified in believing coherent reports by independent, though only partially reliable witnesses more than a single report? If yes, under which conditions does this claim hold true? By the end of the book, the reader should have a comprehensive understanding of topic of coherence, the controversy surrounding it, and its implications across the discipline of philosophy.
Cognitive Wireless Networks : Concepts, Methodologies and Visions Inspiring the Age of Enlightenment of Wireless Communications
Cognition, a continuous process involving sensing, reasoning, understanding and reacting, can be applied to wireless networks in order to adapt the system to the highly dynamic wireless ecosystem. The ultimate goals are to enhance the efficiency in the use of radio resources as well as to improve both link and network performance. This book presents a detailed overview of a rapidly emerging topic in modern communications: cognitive wireless networks. The key aspects of cognitive and cooperative principles in wireless networks are discussed in this book. Furthermore, Cognitive Wireless Networks advocates the concept of breaking up the cellular communication architecture by introducing cooperative strategies among wireless devices. Cognitive wireless networking is the key to success in handling the upcoming dynamic network configurations and exploiting this cross-over to the fullest extent.
Cognition, Communication and Interaction : Transdisciplinary Perspectives on Interactive Technology
This book aims to provide a trans-disciplinary research framework and methodology for interaction design. The analysis directs attention to three human capacities that our engagement with interactive technology has made salient and open to constant redefinition.
Cloud-Resolving Modeling of Convective Processes
Introduces the framework of cloud-resolving model, methodologies for analysis of modeling outputs, and validation of simulations with observations. The book details important scientific findings in the aspects of surface rainfall processes, precipitation efficiency, dynamic and thermodynamic processes associated with tropical convection, diurnal variations, radiative and cloud microphysical processes associated with development of cloud clusters, air-sea coupling on convective scales, climate equilibrium states, and remote sensing applications.
Cloud Native Architecture and Design : A Handbook for Modern Day Architecture and Design with Enterprise-Grade Examples
Explains the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. And Progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn’t possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence. You will: Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems ; Gain the techniques and concepts you need to adapt to design a cloud-native application ; Use assessment techniques and tools for IT modernization ; Apply cloud-native engineering principles to the culture of automation and culture of innovation ; Harness the techniques and tools to run your cloud-native applications and automate infrastructure ; Operate your cloud-native applications by using AI techniques and zero operation techniques
Mathematical and Computational Models for Congestion Charging
This book presents rigorous treatments of issues related to congestion pricing. The chapters describe recent advances in areas such as mathematical and computational models for predicting traffic congestion, determining when, where, and how much to levy tolls, and analyzing the impact of tolls on transporation systems. The analyses and methodologies developed in this book provide Mechanisms that aid in determining and comparing congestion pricing schemes; Methodologies for evaluating the efficiency of existing and proposed congestion pricing schemes; A means to predict the impact of pricing on urban transporation systems; and Information essential to the financial and political success of congestion pricing programs.
Management models of digital transformation : Analysis and definition of success factors for the development of a management framework
Analyses and integrates existing approaches to managing and coordinating a digital transformation in order to identify relevant success factors of a digital transformation, serving as a basis for the development of a systematic framework for a management model of digital transformation. The analysis reveals ten success-critical focus areas of a digital transformation, which comprise numerous success factors: ‘Vision, goals, and strategies’, ‘Leadership’, ‘Communication’, ‘Digital culture and mindset’, ‘Digital platform’, ‘Partnership network’, ‘Capabilities, talents, and skills’, ‘Organization, coordination, and roles’, ‘Management methodologies’, and ‘Governance’.
Machine learning for data streams : With practical examples in MOA
The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA.
Machine learning for civil and environmental engineers : A practical approach to data-driven analysis, explainability, and causality
Introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
