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This book advances the understanding and modelling of sensemaking and cultural processes as being crucial to the scientific study of contemporary complex societies.
The focus of this volume is on the role of the developmental state in a situation in which a series of major crises affects the (semi-) periphery of the global economy.
Emerged as a project aiming to harmonize state sovereignty and the market, through the promotion of liberal democracy domestically, and free trade and economic... Læs mere
This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.
The book explains the impact of bank business models on company business models by discussing the relationship among banks decision-making processes, sustainable values creation in company business models, and ESG risk.
Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems.
This volume explores the influence of professional service firms on public policy-making from a global perspective.
This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON.
This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON.
This book examines the ways in which decolonial theory has gained traction and influenced knowledge production, praxis and epistemic justice in various contemporary iterations of community psychology across the globe.
The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient.
M files and an associate application for use with MATLAB