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Describes in detail the research on fault diagnosis, opacity analysis and enhancement, and cyber security analysis and enforcement, within suitable discrete event system modelling frameworks. In each case, the authors describe basic problem statements and key concepts, and then point out the key challenges in each research area.

Focuses on the inclusion of security in robotics from the earliest design phases onward and with a special focus on the cost-benefit tradeoff that can otherwise be an inhibitor for the fast development of affordable systems. The authors advocate for quantitative methods of security management and design.

Describes the use of principles of reinforcement learning (RL) to design feedback policies for continuous-time dynamical systems that combine features of adaptive control and optimal control. The authors give an insightful introduction to reinforcement learning techniques that can address various control problems.

Covers five areas related to the mining of user interests from social media: the foundations of social user interest modeling; techniques that have been adopted; evaluation methodologies and benchmark datasets; applications that have been taking advantage of user interest mining; and challenges, research questions, and opportunities.

Surveys two important components of modern information access: information retrieval (IR) and knowledge graphs (KGs). The authors provide an overview of the literature on KGs in the context of IR and the components required when building IR systems that leverage KGs.

Labour income risk is key to the welfare of most people and this risk is mainly insured 'within the firm' and by public institutions, rather than by financial markets. This book asks why such insurance is provided within the firm, and what determines its boundaries. It also explores the connection between risk sharing and firms' capital structure.

Presents a summary of challenges to deliver desired solutions and a presentation of efforts to be undertaken to ensure that US will continue to be a leader in robotics, both in terms of research innovation, adoption of the latest technology, and adoption of policy frameworks that ensure that the technology is utilized in a responsible fashion.

Differential privacy is a promising approach to formalizing privacy - that is, for writing down what privacy means as a mathematical equation. This book serves as an overview of the state-of-the-art in techniques for differential privacy.

Reviews the academic literature on market outcomes, reporting practices and the political economy behind the global use of International Financial Reporting Standards. Starting with a conceptual discussion of expected benefits and costs, the authors explain why predictions on possible outcomes are ambiguous.

Surveys fundamental concepts and practical methods for creating and curating large knowledge bases. The book covers models and methods for discovering and curating large knowledge bases from online content, with emphasis on semi-structured web pages and unstructured text sources.

Defines and describes the research field at the interface of Finance, Operations, and Risk Management (iFORM), provides examples where operations and finance overlap in meaningful ways, outlines promising research directions, and reduces the entry cost for anyone who would like to explore this new and exciting research field.

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. This book describes the latest state-of-the art.

Presents a condensed summary of research efforts investigating post-WIMP interaction techniques in visualization systems. The authors discuss the main challenges faced, lessons learned, and reflect on how their perspectives and viewpoints on post-WIMP for InfoVis have evolved.

Provides an overview and background of the various developments of single-slope analog-to-digital converters (SS-ADC). Background information is given about the general CIS architecture, the CIS pixels and the noise sources present in a CIS. The book also describes the various architectures used in an SS-ADC.

Presents a case study protocol and analyses of nine technology transfer success stories across federal agencies and their research laboratories to begin to fill a gap in the existing literature where there is less available research on the impact and the mechanisms of technology transfer from federal labs.

This monograph reviews organizational ambidexterity in entrepreneurship studies. The author examines the past 15 years of published research by focusing on the contribution of organizational ambidexterity to the fields of management studies and entrepreneurship studies and provide research directions in organizational ambidexterity.

Synthesizes the authors' previous work to draw conclusions and identify new directions. The book puts the spotlight on collaborative innovation blocs and improves our understanding of how and why entrepreneurial plans are formulated and revised over time.

Presents findings from a review of the alignment and innovation literature streams published between 1990 and 2020. The authors summarize approaches, challenges, and opportunities, and reveal that alignment scholars tend to overlook the complexities inherent in the process of innovating and view innovation as a black box.

Discusses decentralised wastewater treatment and the role of nature-based solutions within the context of the twenty-partner international INNOQUA project. Design and operation principles are outlined, together with performance data and practical feedback from pilot and demonstration facilities situated in eleven countries.

Summarises the literature on AI and business model innovation. The hypothesis of the book is that the deployment of AI across an industry creates new mechanisms for value creation and in turn results in new firms generating value in an industry as incumbent firms may no longer be as competitive as in the past - the 'value migration' phenomenon.

Advances in brain sensing technologies, new analysis methods, and hardware improvements have opened the door for research which will accelerate with the increased commercialization of wearable technology containing brain sensors. This book examines brain signals from an HCI perspective, focusing on work that makes an HCI-related contribution.

By explaining how the result of an operation was derived from its inputs, data provenance has proven to be a useful tool that is applicable in a wide variety of applications. This monograph gives a comprehensive introduction to data provenance concepts, algorithms and methodology developed in the last few decades.

Presents a comprehensive overview of the applications of machine learning algorithms to the Crunchbase database. The authors highlight the main research goals that can be addressed and review all the variables and algorithms used for each goal.

Examines the existing attempts to establish decentralized autonomous organization (DAO) concepts and legal frameworks. The book evaluates the technical solutions and internal governance solutions promulgated by DAO projects. Particular emphasis is placed on the duality and feedback effects between internal DAO governance and external legal design.

Promotes the use of process theory as an essential part of the body of knowledge relative to information systems which should be nurtured and expanded. The book addresses why process theory is important, how it can enhance the discipline, and what needs to be tackled to make the development and application of process theory routine.

Multi-tenancy is a crucial tenet for cloud dataservice providers that allows sharing of data centre resources across tenants, thereby reducing cost. In this monograph the authors review architectures of today's cloud data services, and identify trends and challenges that arise in multi-tenant cloud data services.

The authors of this monograph survey a suite of techniques based on the theory of polynomials, collectively referred to as polynomial methods. These techniques provide useful tools for the design of highly practical algorithms with provable optimality, and for establishing the fundamental limits of inference problems through moment matching.

Presents the body of econometric techniques that are customized to experimental applications. This monograph is aimed at two types of reader -- the experimental economist who is interested in expanding their skill set in econometric techniques and the econometrician interested in the econometric techniques currently being used by experimentalists.

Focuses on the CEO advice taking process and examines the case where advisers provide strategic advice to the top management of a firm. This review suggests that the process of business advice could be divided into attraction, engagement, exit and extension.

Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing links between the analogue and digital signal processing domains.