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Provides the reader with a broad overview of the concept of accountability in computing. In doing so, the authors introduce the topic and place it in context of the social and systematic factors which help to define the term.

Provides an interactive step-by-step framework for analysing spoken or written language for faculty and PhD students in social sciences. The goal is to demonstrate how textual analysis can enhance research by automatically extracting new and previously unknown information from voluminous disclosures, news articles, and social media posts.

Provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.

Surveys the network-based theories of rotor angle stability that elaborate the role of power network structure. The book focuses on the connections between power network structures and system dynamic behaviours, and those graph theoretic tools tailored for power system analysis.

An atomic decomposition provides a description of the most informative features of a solution or a kind of generalized principal component analysis. In this book, the authors describe the rich convex geometry that underlies atomic decomposition and demonstrate its use in practical examples.

Does heterogeneity matter for asset pricing and, in particular, for risk premia? This volume provides a unified framework to better understand this large literature and to reconcile several of the seemingly inconsistent results found in some seminal papers.

Guides the reader through the state-of-the-art of wearable devices, detailing the challenges that researchers and designers face in achieving wide-adoption of the technology throughout society. The authors also identify the application areas where these devices are most likely to gain acceptance.

Draws on research on the marketing-finance interface to suggest how marketing and finance can become better aligned. The overriding issue is how to use the power of brands to link marketing's role in creating value for consumers and finance's role in deploying assets to obtain the best financial returns and shareholder value.

Introduces the reader to the research and practical aspects behind the approach of learning the characteristics of the acoustic environment directly from the data rather than using a predefined physical model. This book provides a comprehensive overview and insights into this burgeoning area of acoustic developments.

Provides a comprehensive introduction to the field of shape analysis, and presents the foundation of the topic in an accessible manner to readers who are not familiar with it. To do so, the authors characterize the essence of shape analysis compared to more classical pointer analyses.

Examines three themes: Financing Issues in Supply Chains look into working capital management financing practices; FinTech Innovations for Supply Chains examines business model innovations for supply chain financing; amd Advances in Risk Management of Operational Systems provides state-of-the art thinking on risk issues in supply chain operations.

Shows how specialized hardware accelerators can provide an answer to the compute stagnation problem and be helpful in reducing data movement bottlenecks by placing them in the right location within the computer architecture. The focus of the book is on Field Programmable Gate Arrays.

Focuses on a technique called Network Time Distribution, which is often more cost-effective than GPS-based timing. The technique uses a master/slave construction to synchronize the time throughout devices on a network. To do this, two-way message exchange is required which can be subject to network delays.

Offers a comprehensive guide to sparsity methods for systems and control, from standard sparsity methods in finite-dimensional vector spaces to optimal control methods in infinite-dimensional function spaces.The primary objective of this book is to show how to use sparsity methods for several engineering problems.

Presents the findings and results of the Bots2ReC project, and should be useful for Construction and Robotics Engineers, as well as graduate level students and researchers active in these fields.

Provides an overview of key papers in the corporate sustainability literature and directions for future research. The book is structured on three key themes: measuring corporate sustainability performance; managing corporate sustainability performance; and communicating corporate sustainability performance.

Discusses the central role that artificial intelligence and, more specifically, machine learning can play as a research method in the marketing field. The goal of this monograph is to provide marketing with an overview of machine learning and to analyse required learning, applications, and future developments.

Surveys both classical literature and recent developments on the mismatched decoding problem, with an emphasis on achievable random-coding rates for memoryless channels. In doing so they present two widely-considered achievable rates known as the generalized mutual information and the LM rate, and overview their derivations and properties.

Provides a systematic review of developments in strategic entrepreneurship research, mapping its evolution as a field of research. Beyond mapping and assessing the evolution of strategic entrepreneurship research, the authors identify areas where further theoretical, conceptual and empirical studies would be particularly useful.

Formalizes the ecologist's regime shift concept that allows the identification of two distinct regime shift mechanisms, shock-induced and bifurcation-induced regime shift, before defining ecological resilience as a regime transition system.

Introduces the novel concept of Coded Computing. Coded Computing exploits coding theory to optimally inject and leverage data/task redundancy in distributed computing systems, creating coding opportunities to overcome the bottlenecks.

Focuses on the fundamental underlying mathematical models, into a powerful framework for performing optimization of caching systems. In doing so, the authors present a background for the anticipated explosion in caching research, and provide a didactic view into how engineers have managed to infuse mathematical models into the study of caching.

Provides a review of the research in this new and growing field. The book describes econometric methods for empirical climate modelling that can account for wide-sense non-stationarity; considers hazards confronting empirical modelling of nonstationary time-series data; and provides a brief excursion into climate science.

The key to the success of the deep learning approach is its strong ability in learning of representations and generalization of matching patterns from data. This survey gives a systematic and comprehensive introduction to the deep matching models for search and recommendation.

Makes the case that US economic growth policy has not responded to the growing competitive pressures from globalization. Specifically, the federal government has placed excessive reliance on business-cycle management and recently on trade barriers in the form of tariffs.

While several survey papers on particular sub-problems have appeared, no comprehensive survey on problems, datasets, and methods in computer vision for autonomous vehicles has been published. This monograph fills this gap by providing a survey on the state-of-the-art datasets and techniques.

The intent of this monograph is to allow you to understand crowdfunding in its current context, how it is affecting society, how it functions and factors that can impact successful interactions between the crowdfunding project creator and the people who fund these projects.

Examines the impact of service industrialization on employment and wages in the US to understand the forces that drive them; using national income and labor data until 2017 to presents a macroeconomic context for an analysis of employment and wages; and identifies implications of the above for management and public policy.

Examines the evolution of industrial, science and technology policy from a small country perspective. In particular, the book focuses on the evolution of Irish industrial development, the development of Irish industrial cluster, and Ireland's education research policy designed to build capacity and scientific capabilities.

Offers an overview of enterprise needs for speech analytics, a brief history of the speech recognition, the infrastructure of phonetic versus transcription approaches and real-time versus post-call solutions, major speech analytics vendors and their features, applications found within case studies, and recommendations and guidance.