Böcker utgivna av Springer Nature Switzerland AG

The ever-growing applications and richness of approaches to the Riordan group is captured in this comprehensive monograph, authored by those who are among the founders and foremost world experts in this field. The concept of a Riordan array has played a unifying role in enumerative combinatorics over the last three decades. The Riordan arrays and Riordan group is a new growth point in mathematics that is both being influenced by, and continuing its contributions to, other fields such as Lie groups, elliptic curves, orthogonal polynomials, spline functions, networks, sequences and series, Beal conjecture, Riemann hypothesis, to name several. In recent years the Riordan group has made links to quantum field theory and has become a useful tool for computer science and computational chemistry. We can look forward to discovering further applications to unexpected areas of research. Providing a baseline and springboard to further developments and study, this book may also serve asa text for anyone interested in discrete mathematics, including combinatorics, number theory, matrix theory, graph theory, and algebra.

China and Russia have grown progressively closer over the last two decades, yielding a China-Russia ¿axis¿ uniquely capable of challenging the United States and of revising key aspects of the international order. Although the scholarly literature has offered detailed descriptions and various ad hoc explanations of this trend, the Sino-Russian bilateral relationship has been the subject of very little scrutiny using rigorous theory, which has precluded the formation of logically coherent and empirically supported explanations for increasing China-Russia cooperation. Moreover, the cooperative post-Cold War trend in the bilateral relationship is puzzling for each of the major paradigms of international relations theory: realism, constructivism and liberalism. This volume brings together leading IR scholars from various theoretical perspectives, as well as theoretically-informed experts in Chinese and Russian foreign policy. The chapters develop and apply nuanced theoretical arguments to derive testable hypotheses for the cooperative trend in China-Russia relations. In contrast to existing scholarship, the book offers generalizable insights that both improve our understanding of a crucially important contemporary case, while also advancing IR theory in substantial ways.

This volume presents select proceedings of the International Conference on Innovative Technologies for Clean and Sustainable Development (ICITCSD ¿ 2021), held at the National Institute of Technical Teachers Training & Research and Chitkara University, Himachal Pradesh, India. It covers several important aspects of sustainable civil engineering practices, dealing with effective waste and material management, natural resources, industrial products, energy, food, transportation and shelter, environmental impact mitigation, waste minimization and management, sustainable infrastructure, and geospatial technology for sustainable and clean environment. Emphasis is placed on conserving and protecting the environment and the natural resource base essential for future development. The book includes case studies and ongoing research work from various fields related to civil engineering presented by academicians, scientists, and researchers. The book also discusses engineering solutions to sustainable development and green design issues. Special emphasis is given on qualitative guidelines for the generation, treatment, handling, transport, disposal, and recycling of wastes. The book is intended as a practice-oriented reference guide for researchers and practitioners. It will be useful for anyone working in sustainable civil engineering and related fields.

This volume is the third (III) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ¿digital transformation¿ within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus of this book (III) is on the transformation of collected information into valuable decisions and aims to shed light on how best to use digital technologies to reduce cost, inputs,and time, toward becoming more efficient and transparent. Fourteen chapters are grouped into 3 Sections. The first section of is dedicated to decisions in the value chain of agricultural products. The next section, titled Primary Production, elaborates on decision making for the improvement of processes taking place with the farm under the implementation of ICT. The last section is devoted to the development of innovative decision applications that also consider the protection of the environment, recognizing its importance in the preservation and considerate use of resources, as well as the mitigation of adverse impacts that are related to agricultural production.Planning and modeling the assessment of agricultural practices can provide farmers with valuable information prior to the execution of any task. This book provides a valuable reference for them as well as for those directly involved with decision making in planning and assessment of agricultural production.Specific advances covered in the volume: Modelling and Simulation of ICT-based agricultural systemsFarm Management Information Systems (FMIS) Planning for unmanned aerial systems Agri-robotics awareness and planning Smart livestock farming Sustainable strategic planning in agri-production Food business information systems

This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIStools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.