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Matthias Karlbauer
Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting

This thesis explores the potential of machine learning methods for improving weather forecasts. Since weather is considered a spatiotemporal process that evolves over space through time, the thesis first …

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Ali Kaveh
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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Engineering Applications of Neural Networks

.- A Real-Time Human Action Recognition Model for Assisted Living..- A Survey of Federated Learning-Based Intrusion Detection Methods in Medical IoT.- AI-based automatic counting and classification of aed…

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Engineering Applications of Neural Networks

.- A Human-Centric Decision Support System for Zero-Defect Manufacturing Enabled by Human-in-the-Loop Learning..- A Norm-Chatbot: Local LLM-Vision with Vision-based RAG for Complex Production Documents an…

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Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

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Patric Stefan Guggisberg
Die 114 Tells der Mardin-Ebene

Schriften zur Vorderasiatischen Archäologie - Band 23

Hochauflösende Satellitenbilder sind für die landschaftsarchäologische Forschung unverzichtbar. Besonders in schwer zugänglichen Regionen oder Konfliktgebieten bieten sie oft die einzige Möglichkeit, Sied…

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Graph Neural Networks for Neurological Disorders

This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book ad…

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Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

This book is an excellent source of knowledge for readers interested in the latest developments in social network analysis and mining, particularly with applications in healthcare and anomaly detection. I…

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Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

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