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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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Genomics at the Nexus of Ai, Computer Vision, and Machine Learning

The book provides a comprehensive understanding of cutting-edge research and applications at the intersection of genomics and advanced AI techniques and serves as an essential resource for researchers, bi…

lieferbar in mind. 4 Wochen

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Shirui Wang, Jiefu Chen, Xuqing Wu, Wenyi Hu
Deep Learning for Seismic Data Enhancement and Representation

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns v…

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Deep Learning Techniques for Automation and Industrial Applications

This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which arti…

lieferbar innerhalb 1-2 Wochen

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Johannes Jahn
Order Analysis, Deep Learning, and Connections to Optimization

This book introduces readers to order analysis and various aspects of deep learning, and describes important connections to optimization, such as nonlinear optimization as well as vector and set optimizat…

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Deep Learning for Earth Observation and Climate Monitoring

Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our underst…

lieferbar ab 16.5.2025.

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Internet of Things and Machine Learning for Type I and Type II Diabetes

Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Typ…

lieferbar in mind. 4 Wochen

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Deep Reinforcement Learning and Its Industrial Use Cases

This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable…

lieferbar in mind. 4 Wochen

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Rabia Riad, Frederic Ros
Feature and Dimensionality Reduction for Clustering with Deep Learning

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to …

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent a…

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Deep Learning for Advanced X-ray Detection and Imaging Applications

This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will dis…

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. The book delves into var…

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Carsten Holst
Automated Flank Wear Segmentation and Measurement with Deep Learning Image Processing

This thesis optimizes AI models for identifying tool wear on microscopic images of cutting tools. It creates a tool wear model from empirical trials to generate a dataset and conducts screening analysis t…

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Abdussalam Elhanashi, Sergio Saponara
Deep Learning in Action: Image and Video Processing for Practical Use

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and objec…

lieferbar ab 16.5.2025.

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Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of …

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Yannick Lingelbach
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 mate…

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems Offering insights across various domains such as co…

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Suneeta Mall
Deep Learning at Scale

"Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that …

sofort lieferbar

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Steve Wilson
The Developer's Playbook for Large Language Model Security

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Autho…

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