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Titlebook: Statistical Machine Learning for Engineering with Applications; Jürgen Franke,Anita Schöbel Textbook 2024 The Editor(s) (if applicable) an

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楼主: decoction
发表于 2025-3-25 04:09:40 | 显示全部楼层
Optimal Experimental Design Supported by Machine Learning Regression Models,the machine learning approach by applying the algorithm to several models from chemical process engineering. For small-scale models the method obtains similar results, and for large-scale models the method drastically outperforms classical OED algorithms.
发表于 2025-3-25 09:06:06 | 显示全部楼层
发表于 2025-3-25 12:10:52 | 显示全部楼层
0930-0325 scientists to understand the potential and pitfalls of mach.This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods.
发表于 2025-3-25 18:42:02 | 显示全部楼层
Segmentation and Aggregation in Text Classification,tation setup. As a result, the classification algorithm gives a probability for each segmentation and every class. To classify the whole document, an aggregation method is needed. We investigate different approaches of aggregating and apply those methods to text documents for public administration.
发表于 2025-3-26 00:00:49 | 显示全部楼层
Detecting Healthcare Fraud Using Hybrid Machine Learning for Document Digitization,for document digitization that combines various state-of-the-art machine learning techniques to not only give reliable results but enable user interference and traceability for nonexperts. We evaluate our solution with the help of legal authorities as well as investigators and apply it to data from real criminal investigations.
发表于 2025-3-26 02:41:22 | 显示全部楼层
Machine Learning Methods for Prediction of Breakthrough Curves in Reactive Porous Media,pproximation tensor method, are well suited for predicting breakthrough curves (Fokina et al., On the performance of machine learning methods for breakthrough curve prediction (2022)). In this paper, we demonstrate their performance in the case of pore-scale reactive flow in catalytic filters.
发表于 2025-3-26 06:58:04 | 显示全部楼层
Hardware-Aware Neural Architecture Search, search automatizes the search for optimal topologies. We will outline the implementation of an evolutionary search algorithm for neural networks, which can take several criteria for the search into consideration. As a final step, hardware awareness is introduced for an exemplary hardware architecture.
发表于 2025-3-26 09:50:27 | 显示全部楼层
Data Analytics, Artificial Intelligence, and Machine Learning in Mobility and Vehicle Engineering,r applications, especially in the field of vehicle engineering and mobility. This article gives an overview of possible application and throws some spotlights on specifically chosen examples and case studies.
发表于 2025-3-26 14:14:27 | 显示全部楼层
Textbook 2024arning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice.
发表于 2025-3-26 19:34:10 | 显示全部楼层
An Introduction of Statistical Learning for Engineers,rithms. In the following, we present a leisurely introduction to this topic, as it is of particular interest for applications in engineering research and practice..Statistics is one of the roots of modern machine learning, in particular the discipline of nonparametric statistics, which more than 40
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