Buku akses terbuka ini menyajikan gambaran umum tentang kemajuan terbaru dalam jaringan saraf fotonik dengan dinamika spatiotemporal. Paradigma komputasi dan implementasi yang disajikan dalam buku ini adalah hasil dari studi interdisipliner oleh peneliti kolaboratif dari tiga bidang ilmu matematika nonlinier, fotonika informasi, dan rekayasa sistem terintegrasi. Buku ini menawarkan sudut pandan…
This is an open access book. Decide Better: Open and Interoperable Local Digital Twins explores the transformative potential of Local Digital Twins (LDTs) in urban governance. The book begins by introducing the concept of LDTs, which create digital replicas of cities or regions, combining real-time data and simulations to inform decision-making. It highlights how LDTs can enhance urban manag…
Dieses Buch ist eine Open-Access-Publikation unter einer CC BY 4.0 Lizenz. Künstliche Intelligenz (KI) klingt in aktuellen Debatten oft abstrakt und alltagsfremd. Doch die meisten Internetnutzerinnern und -nutzer sind bereits täglich mit ihr konfrontiert – wenn auch unbewusst: sei es bei der Sprachsteuerung des Smartphones, bei Kaufempfehlungen im Online-Shop oder bei der Abfrage von auf …
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, c…
This book provides an overview of the ERIGrid validation methodology for validating CPES, a holistic power system testing method. It introduces readers to corresponding simulation and laboratory-based tools, including co-simulation, real-time simulation, and hardware-in-the-loop. Selected test cases and validation examples are provided, in order to support the theory discussed. The book begins…
Deployment of modern data-driven machine learning methods, most often realized by deep neural networks (DNNs), in safety-critical applications such as health care, industrial plant control, or autonomous driving is highly challenging due to numerous model-inherent shortcomings. These shortcomings are diverse and range from a lack of generalization over insufficient interpretability and impl…
This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scien…
“Tell me how much your friends earn and I’ll tell you whether you smoke, what diseases you have and how old you’re going to become!” Part of this statement should be familiar to those who are interested in the connection between social inequality and health. People of comparatively lower socioeconomic status are at higher risk of health problems and are more likely to fall ill and d…
This open access book explores the collision between the sustainable energy transition and the Internet of Things (IoT). In that regard, this book’s arrival is timely. Not only is the Internet of Things for energy applications, herein called the energy Internet of Things (eIoT), rapidly developing but also the transition towards sustainable energy to abate global climate is very much at the f…
The open access book covers a large class of nonlinear systems with many practical engineering applications. The approach is based on the extension of linear systems theory using the Volterra series. In contrast to the few existing treatments, our approach highlights the algebraic structure underlying such systems and is based on Schwartz’s distributions (rather than functions). The use of di…