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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 …

lieferbar innerhalb 2-3 Wochen

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Muhammad Arsalan
Optimization of Spiking Neural Networks for Radar Applications

This book offers a comprehensive exploration of the transformative role that edge devices play in advancing Internet of Things (IoT) applications. By providing real-time processing, reduced latency, incre…

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New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

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

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Advanced Machine Learning for Cyber-Attack Detection in Iot Networks

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their ap…

lieferbar ab 1.6.2025.

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Ghada Alsuhli, Vasilis Sakellariou, Thanos Stouraitis, Mahmoud Al-Qutayri
Number Systems for Deep Neural Network Architectures

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventio…

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Monther Busbait, Vladimir Shevtchenko, Albina Moshkova, Mikhail Moshkov
Decision Trees for Fault Diagnosis in Circuits and Switching Networks

In this book, we study decision trees for fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions. We consider two main cases: when …

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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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Trefferliste "Neural Networks For Fault Detection" - alle Bücher

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

Muhammad Arsalan Optimization of Spiking Neural Networks for Radar Applications

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

Advanced Machine Learning for Cyber-Attack Detection in Iot Networks

Ghada Alsuhli, Vasilis Sakellariou, Thanos Stouraitis, Mahmoud Al-Qutayri Number Systems for Deep Neural Network Architectures

Monther Busbait, Vladimir Shevtchenko, Albina Moshkova, Mikhail Moshkov Decision Trees for Fault Diagnosis in Circuits and Switching Networks

Claudio Conti Quantum Machine Learning

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

Muhammad Arsalan
Optimization of Spiking Neural Networks for Radar Applications

Ghada Alsuhli, Vasilis Sakellariou, Thanos Stouraitis, Mahmoud Al-Qutayri
Number Systems for Deep Neural Network Architectures

Monther Busbait, Vladimir Shevtchenko, Albina Moshkova, Mikhail Moshkov
Decision Trees for Fault Diagnosis in Circuits and Switching Networks

Claudio Conti
Quantum Machine Learning