The book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language.
Approximate Models of Mechanics of Composites: An Asymptotic Approach is an essential guide to constructing asymptotic models and mathematical methods to correctly identify the mechanical behavior of composites.
This book provides an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices.
This book provides an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices.
Das Lehrbuch vermittelt dem Leser grundlegende Kenntnisse über das, was zwischen Sende- und Empfangsantenne geschieht, da sie für eine plangemäße Funktion entscheidend sind.
Das Lehrbuch vermittelt dem Leser grundlegende Kenntnisse über das, was zwischen Sende- und Empfangsantenne geschieht, da sie für eine plangemäße Funktion entscheidend sind.
The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems.
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications.
This book investigates the substructuring technology in structural health monitoring (SHM) to improve the accuracy and efficiency of the present SHM methods.
This book investigates the substructuring technology in structural health monitoring (SHM) to improve the accuracy and efficiency of the present SHM methods.
This book contains reports made at the International Conference on Differential Equations, Mathematical Modeling and Computational Algorithms, held in Belgorod, Russia, in October 2021 and is devoted to various aspects of the theory of differential equations and their applications in various branches of science.
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications.
This book contains reports made at the International Conference on Differential Equations, Mathematical Modeling and Computational Algorithms, held in Belgorod, Russia, in October 2021 and is devoted to various aspects of the theory of differential equations and their applications in various branches of science.
This book tells the story of building digital virtual human models in the context of the background, choices, and occurrences that shaped the author's own involvement and personal evolution.
This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2-3, 2023.
This monograph demonstrates a new approach to the classical mode decomposition problem through nonlinear regression models, which achieve near-machine precision in the recovery of the modes.
This book starts with an introduction to the basic concepts of multistability, then illustrates how multistability arises in different systems and explains the main mechanisms of multistability emergence.
The volume contains latest research on software reliability assessment, testing, quality management, inventory management, mathematical modeling, analysis using soft computing techniques and management analytics.
This proceedings volume gathers selected, peer-reviewed papers presented at the Dynamical Systems Theory and Applications International Conference - DSTA 2021, held virtually on December 6-9, 2021, organized by the Department of Automation, Biomechanics, and Mechatronics at Lodz University of Technology, Poland.
In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data.
This book presents a compilation of over 200 numerical problems and solutions that students can use to learn, practice and master the Inventory Control and Management concepts.
This book describes several mathematical models of the primary visual cortex, referring them to a vast ensemble of experimental data and putting forward an original geometrical model for its functional architecture, that is, the highly specific organization of its neural connections.
This book presents recent research on Advanced Computing in Industrial Mathematics, which is one of the most prominent interdisciplinary areas, bringing together mathematics, computer science, scientific computations, engineering, physics, chemistry, medicine, etc.
This book is directed toward the numerical integration (solution) of a system of partial differential equations (PDEs) that describes a combination of chemical reaction and diffusion, that is, reaction-diffusion PDEs.
Sustainable development within urban and rural areas, transportation systems, logistics, supply chain management, urban health, social services, and architectural design are taken into consideration in the cohesive network models provided in this book.
This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models.
This book is a useful guide to employing remote sensing data to explain and illustrate interactions between atmospheric, oceanic and hydrological processes, incorporating the latest developments in the field.
This book adopts numerical method to model soil constitutive relationship while it abandons the traditional idea of looking for plastic potential as the only way to model.
Dieses Lehrbuch beinhaltet eine Einführung in die vielfältige und faszinierende Welt der mathematischen Modellierung und eignet sich ideal für alle, die auf diesem Gebiet noch keine großen Erfahrungen sammeln konnten.
This volume compiles eight recent surveys that present state-of-the-art results in the field of active matter at different scales, modeled by agent-based, kinetic, and hydrodynamic descriptions.
Dieses Buch bietet einen systematisch aufgebauten Einstieg in angewandte Datenanalyse, Bayes´sche Statistik und moderne Simulationsmethoden mit dem Computer.
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence.
The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular.
This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate circuit and device simulation for specific tasks in the design cycle.
This book directs the engineering manager or the undergraduate student preparing to become an engineering manager, who is or will become actively engaged in the management of economic-risk trade-off decisions for engineering investments within an organizational system.
