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Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework. - This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.
Advances in Artificial Intelligence, Software and Systems Engineering
This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Further, it covers some cutting-edge issues in energy, including intelligent control systems for power plant, and technology acceptance models. Based on the AHFE 2021 Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, held virtually on 25–29 July, 2021, from USA, this book provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.
Lutherjahrbuch 88. Jahrgang 2021
Das Lutherjahrbuch ist das bedeutendste Organ der internationalen Lutherforschung und wird im Auftrag der Luther-Gesellschaft e.V. von Christopher Spehr, Jena, herausgegeben. Ausgewählte Buchbesprechungen und die für Lehre und Forschung unverzichtbar Lutherbibliographie orientieren darüber hinaus über bedeutende Publikationen zur Luther- und Reformationsforschung.
Prosoziales Verhalten
Die Reihe MAECENATA SCHRIFTEN ist eine interdisziplinäre wissenschaftliche Buchreihe zur Zivilgesellschaftsforschung. Von 2007–2015 erschien sie im Verlag Lucius & Lucius, Stuttgart; seit 2016 erscheint sie im Verlag De Gruyter Oldenbourg, Berlin. Sie wird von Rupert Graf Strachwitz, Eckhard Priller und Siri Hummel herausgegeben. Für eine Aufnahme in die Reihe kommen Monographien und Sammelbände in Betracht, die einen thematischen Bezug zu den Themenfeldern Zivilgesellschaft, Bürgerschaftliches Engagement, Philanthropie und Stiftungswesen aufweisen. In die Reihe können Qualifikationsarbeiten ebenso aufgenommen werden wie Studien, Ergebnisse von Forschungsprojekten, Tagungsbände oder ...
Weimar und die Welt
Trotz der vielen transnationalen und transkulturellen Trends in der Forschung zur deutschen Geschichte ist die Verflechtung der Weimarer Republik mit der übrigen Welt bislang seltsam unterbelichtet geblieben. Die Beiträge des Bandes lenken den Blick auf vielfältige Aspekte dieser Thematik und stellen die vorherrschende These der Globalgeschichtsschreibung infrage, es handle sich bei der Zwischenkriegszeit um eine Zeitspanne der »Deglobalisierung«. Das Buch liefert eine längst überfällige Korrektur der Historiographie und trägt zur Entprovinzialisierung der deutschen Geschichte bei.
An Economic History of South Africa
This book examines five hundred years of South African economic history.
Spoken Language Understanding
Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book cov...
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
