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George A. Anastassiou
Parametrized, Deformed and General Neural Networks

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less neurons than the original one. The asymmetry …

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Graph Neural Networks: Essentials and Use Cases

Chapter 1 Applications of Graph Neural Networks in Computer Vision: Transforming Perception Through Structure.- Chapter 2 Large-Scale Learnable Graph Convolutional Networks (LGCNs) Graph Neural Networks (…

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Patricia Melin, Martha Ramirez, Oscar Castillo
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks

This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the bra…

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Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing

This book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of a…

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New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural netw…

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Autonomous Cyber Resilience

Authoritative and highly comprehensive resource on the latest research and strategies to develop cyber resilience in any network systemAutonomous Cyber Resilience presents key research contributions in th…

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Dominic Etli
Artificial Intelligence in Healthcare

The field of healthcare is being transformed by artificial intelligence (AI). Professionals need to comprehend the potential impact of AI on clinical decision support and epidemiological modeling. This co…

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Gueorgui S Konstantinov, Frank J Fabozzi
Network Models in Finance

NETWORK MODELS in FINANCEAn insightful exploration of the theory and application of networks as applied to investment managementNetwork Models in Finance: Expanding the Tools for Portfolio and Risk Manage…

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Hanspeter A. Mallot
Computational Neuroscience

This book provides an essential introduction to modeling the nervous system at various levels. Readers will learn about the intricate mechanisms of neural activity, receptive fields, neural networks, and …

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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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