Data Structures and Algorithms Made Easy

This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics of approximation with recent advances in mathematical signal processing,

This book introduces Radio Frequency Cell Site Engineering to a broad audience. The author blends theory and practice to bring readers up-to-date in key concepts, underlying principles and practical a

This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: informat

This book is designed to be a practical study in infectious disease dynamics. The book offers an easy to follow implementation and analysis of mathematical epidemiology. The book focuses on recent cas

This book contains the most complete description of the geologic and geophysical data of the structure of Arctic Basin including structures of the earth’s crust, crustal and acoustic basement, a

This book uses institutional data to examine and analyze the current governance structures of Multilateral Financial Institutions (MFIs) with the ultimate goal of reforming MFI governance models to be

This didactic book uses a data-driven approach to connect measurements made by plasma instruments to the real world. This approach makes full use of the instruments’ capability and examines

Confessions of an AI Brain, Second Edition invites readers to not only to understand how AI works, but to imagine, question, and actively shape the kind of AI-enabled future they want to build. By framing AI as a narrator, the book ventures inside the mind of MIRANDA, a fictional yet technically grounded AI brain that narrates its own coming-of-age in a world saturated with algorithms, data, and digital infrastructure. Blending clear explanations with an engaging first-person voice, the book demystifies how modern AI systems are built, trained, deployed, and governed--without assuming any mathematical or programming background. Along the way, MIRANDA reflects on topics such as learning from data, bias and fairness, neurosymbolic reasoning, agentic AI, foundation models, digital twins, and the infrastructure that makes intelligent services possible.Rather than treating AI as a black box or distant threat, the narrative frames it as a partner in a shared human-machine ecosystem, explorin

This is an Open Access Book. In this landmark new work, the major authorities in the field from around the world present a wealth of research data, coverage of regulatory issues, and thinking about the effects of man-made noise on marine mammals, turtles, amphibians, fishes, and invertebrates. The various themes of the book were chosen to cover the wide range of basic and cutting edge information on this topic. They include the hearing abilities of aquatic animals; communication by means of underwater sound; the description of aquatic soundscapes; different sound sources and their characteristics; the effects of sound on behavior; and assessing, mitigating, and monitoring the effects of aquatic noise. Emphasis is on the cross-fertilization of ideas and findings across species and noise sources. With over 150 contributions from leading researchers, the sources of underwater sound and their effects are discussed in detail.