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New Insights on Principal Component Analysis
This book on Principal Component Analysis (PCA) extensively explores the core analyses and case studies within this field, incorporating the latest advancements. Each chapter delves into various disciplines like engineering, administration, economics, and technology, showcasing diverse applications and the utility of PCA. The book emphasizes the integration of PCA with other algorithms and methodologies, highlighting the enhancements achieved through combined approaches. Moreover, the book elucidates updated versions or iterations of PCA, detailing their descriptions and practical applications.
From Theory of Knowledge Management to Practice
From Theory of Knowledge Management to Practice is a collaborative compilation featuring contributions from various authors. The book amalgamates analytical principles with the practical aspects of knowledge management in the business realm. Its unique contribution lies in bridging the gap between engineering/technology disciplines and the organizational, administrative, and planning dimensions of knowledge management. This integration is particularly valuable when viewed in conjunction with other sub-disciplines like economics, finance, marketing, and decision and risk analysis, among others. The book not only introduces but also illustrates knowledge management theories through practical c...
Advances in Emerging Trends and Technologies
This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Technology Trends Electronics Intelligent Systems Machine Vision Communication Security e-Learning e-Business e-Government and e-Participation
Assessing the Left Turn in Ecuador
This book examines the “left turn” in Latin American politics, specifically through the lens of Ecuador and the effects of the Citizens’ Revolution’s actions and public policies on relevant actors and institutions. Through a comprehensive analysis of one country’s turn to the left and the outcomes generated by that process, the authors and editors provide a clearer understanding of the ways in which the popular desire for change (predominant through the region in recent times, as a response to late-twentieth-century neoliberalism) was realized—or not. The particular case of Ecuador further potentiates analysis of the entire region-wide process, considering that the “corrector” cycle is now at an end, and that the economic and international conditions that favored the return of left governments have also changed.
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Artificial Intelligence for Reliability and Maintainability of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems statistics and reliability, including resilience principles and strategies, practical applications, and real-world solutions. It covers a wide range of renewable sources including biomass and biomethane, solar, and hybrid-renewable systems. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety...
Deep Learning in Medical Image Analysis
The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.
Open Education: from OERs to MOOCs
This book focuses on the emerging phenomenon of Massive Open Online Courses (MOOCs), which are changing the fundamental underpinning of educational systems worldwide and forcing educators and other stakeholders to re-think the way instruction is currently conducted. It examines the origins of MOOCs within the context of the open education movement, and reviews current policies, guidelines and initiatives to promote the use of ICT in education through the development and use of open educational resources from international practices, including implementation and licensing issues. With a particular focus on new trends in MOOCs, the book explores the potential of this emerging paradigm, its rise and its impact on openness in education. Various new initiatives are also presented, including more global examples and those that are more geared to certain regional contexts. The book is intended as a stepping stone for both researchers and practitioners who are looking to approach MOOCs from a holistic perspective.
