"Deep Learning Applications" ed. by Pier Luigi Mazzeo, Paolo Spagnolo

This volume is dedicated to deep learning - a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture.

The book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.

Contents
1. Tuning Artificial Neural Network Controller Using Particle Swarm Optimization Technique for Nonlinear System
2. Speech Enhancement Based on LWT and Artificial Neural Network and Using MMSE Estimate of Spectral Amplitude
3. The Digital Twin of an Organization by Utilizing Reinforcing Deep Learning
4. Deep Learning for Subtyping and Prediction of Diseases: Long-Short Term Memory
5. Modeling the Behavior of Amphiphilic Aqueous Solutions
6. The Application of Artificial Neural Network to Predicting the Drainage from Waste Rock Storages
7. Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
8. Application of Deep Learning Methods for Detection and Tracking of Players
9. Application of Artificial Neural Networks to Chemical and Process Engineering
10. Material Classification via Machine Learning Techniques: Construction Projects Progress Monitoring


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