Dieses Kapitel gibt eine Einführung in den Bereich des maschinellen Lernens zum Zwecke der Unterstützung von Gebäudesimulationen und der Optimierung von Gebäudeentwürfen aus Sicht eines Anwenders von Gebäudesimulationssoftware. Der folgende …

Weather forecasting plays a significant role in the field of agriculture, energy industry, forestry and provides stable habitat for a wide variety of species. The prediction methods play a vital role in accurate precipitation forecasts. This …

Die Trennung von Artificial Intelligence, Machine Learning und Deep Learning als unabhängige Techniken ist eine Voraussetzung für das Data Management. Die Geschichte der künstlichen Intelligenz ist wichtig, um sie in Bezug auf das Data Management …

Ein Roboter, der selbstständig lernt: Für die einen faszinierend und erstrebenswert, für andere ein Horrorszenario. Dabei ist „machine learning“ nur ein Oberbegriff für statische Optimierungsverfahren, dessen Fehleinschätzung als „Lernen“ zu …

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, MLN 2023, held in Paris, France, during November 28–30, 2023. The 18 full papers included in this book were carefully reviewed …

This chapter presents an innovative approach to enhance the cyber-security of smart grid systems through the utilization of machine learning techniques. It commences with a comprehensive introduction and then delves into the pivotal role of …

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems.

In the last decades, machine learning techniques – especially techniques of deep learning – led to numerous successes in many application areas, including economics. The use of machine learning in economics is the main focus of this book; however …

New methods for machine learning under stochastic uncertainty, especially for regression problems under uncertainty are described in this chapter. Given a set of input-output data, a certain, often parametric set of functions is adapted by …

Deepfakes, synthetic media created through advanced learning techniques, are rapidly advancing, empowering users to craft deceptive videos via voice manipulation, realistic lip-syncing, and seamless face replacements. From sophisticated methods to …

One of the most deadly chronic conditions that raise blood sugar is diabetes. Diabetes can cause a wide range of issues if it is not treated or recognized in time. A patient ultimately visits a diagnostic facility and sees a doctor there rather …

Given that it accounts for 17% of the nation’s GDP and employs more than 60% of the workforce, agriculture is one of India’s largest and most diverse economic sectors. Numerous biotic along with abiotic parameters are used to make crop suggestions …

This contribution addresses links between machine learning technologies and democracy with a focus on political participation. Democracy research often regards machine learning technologies as a threat, as these technologies could violate …

The presentation and modeling of turbulence anisotropy are crucial for studying large-scale turbulence structures and constructing turbulence models. However, accurately capturing anisotropic Reynolds stresses often relies on expensive direct …

In the realm of artificial intelligence (AI), machine learning is a domain where machines learn from data and refine their performance over time. This chapter embarks on a journey into the realm of machine learning. The chapter begins by …

This chapter provides a high-level overview of this book’s theme which mainly focuses on distributed machine learning and computing solutions and their applications.

One of the most lethal chronic illnesses is diabetes, which leads to high blood sugar levels. Many complications might arise from diabetes if it is not properly diagnosed or treated. Seeing a doctor and going through the identification procedure …

The most important factor in selecting fresh fruits is their identification and quality indication. We cannot inspect every fruit since it would take too much time and effort, and we always want to buy the freshest fruits when we go shopping.