Deep Learning In Condition Monitoring – alle Bücher

Deeper Learning in der Hochschuldidaktik

Deeper Learning beschreibt eine innovative Pädagogik, die Lernende von passiven Wissensempfängern zu aktiv-handelnden Gestaltern in ihrem (über-)fachlichen Kompetenz- und Wissenserwerb führt. Kommunikatio…

lieferbar ab 25.6.2026.

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Anne Sliwka, Britta Klopsch
Deeper Learning in der Schule

Deeper Learning beschreibt eine innovative Pädagogik, durch die Schülerinnen und Schüler im Kontext der Digitalisierung von passiven Wissensempfängern zu aktiven Gestaltern ihres Lernens werden. Das Buch …

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Cristian Bravo, Sebastian Maldonado, Maria Oskarsdottir
Deep Learning in Banking

Unlock the potential of artificial intelligence to transform financial services for a new eraDeep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián…

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Deep Learning in Drug Design

Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, and technological advances of deep learning for drug design, which mainly consists of molecular representations, …

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Andrew Green
Deep Learning in Quantitative Finance

The complete and practical guide to one of the hottest topics in quantitative financeDeep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts…

lieferbar ab 27.4.2026.

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

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Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Deep Learning in Computational Mechanics

Computational Mechanics Meets Arti¿cial Intelligence.- Neural Networks.- Machine Learning in Computational Mechanics.- Methodological Overview of Deep Learning in Computational Mechanics.- Index.

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Zihao Zhang, Stefan Zohren
Deep Learning in Quantitative Trading

This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the …

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Deep Learning in Ad-Hoc Wireless Networks

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By c…

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Markus Bayer
Deep Learning in Textual Low-Data Regimes for Cybersecurity

Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.-…

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Introduction.- Introduction to Human Activity Recognition, Fall Monitoring and Detection, Health monitoring.- Fundamental concepts.- Machine Learning in Human Activity Recognition using Smartphone Sensors…

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Dubnov Shlomo
Lecture Notes In Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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Dubnov Shlomo
Lecture Notes In Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Yen-Wei Chen, Lanfen Lin, Rahul Kumar Jain
Recent Advances in Deep Learning for Medical Image Analysis

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines. In r…

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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how dist…

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Bio-Inspired Computing

This book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 1…

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