Meet the editors

Pier Luigi Mazzeo obtained an MSc in Computer Science from the University of Salento, Lecce, Italy, in 2001. Since then, he has been working on several research topics regarding artificial intelligence and computer vision. Dr. Mazzeo joined the Italian National Research Council of Italy (CNR) as a researcher in 2002. He is currently involved in projects for algorithms for video object tracking, face detection and recognition, facial ex-

pression recognition, deep neural networks, and machine learning. He has authored and co-authored 100 publications, including more than fifteen papers published in international journals and book chapters. He has also co-authored five national and international patents. Dr. Mazzeo acts as a reviewer for several international journals and for some book publishers. He has been regularly invited to take part in the scientific committees of national and international conferences.

Paolo Spagnolo received an engineering degree in Computer Science from the University of Lecce, Italy, in 2002. Since then, he has been with the Italian National Research Council, working on several research topics regarding artificial intelligence and computer vision. He has studied techniques and methodologies for multidimensional digital signal processing, signal features extraction, supervised and unsupervised classification of sig-

nals, convolutional neural networks (CNN), and hyper- and multi-spectral imaging. He is the author of more than eighty papers on artificial intelligence. He also acts as a reviewer for several international journals. He has participated in several international projects in image and video analysis. He has been regularly invited to take part in the scientific committees of national and international conferences.

Contents

**Section 1**

*by Marko Kesti*

Term Memory *by Hayrettin Okut*

*and Juan Carlos Mejuto*

from Waste Rock Storages

*by Stelios C.A. Thomopoulos*

Architecture

**Section 2**

**Preface XI**

Architectures **1**

**Chapter 1 3**

**Chapter 2 23**

**Chapter 3 37** The Digital Twin of an Organization by Utilizing Reinforcing Deep Learning

**Chapter 4 57**

Applications **81**

**Chapter 5 83**

**Chapter 6 101**

**Chapter 7 115** Risk Assessment and Automated Anomaly Detection Using a Deep Learning

*by Gonzalo Astray Dopazo, Cecilia Martínez-Castillo, Manuel Alonso-Ferrer* 

The Application of Artificial Neural Network to Predicting the Drainage

Tuning Artificial Neural Network Controller Using Particle Swarm

Speech Enhancement Based on LWT and Artificial Neural Network

Deep Learning for Subtyping and Prediction of Diseases: Long-Short

Modeling the Behavior of Amphiphilic Aqueous Solutions

*by Liang Ma, Cheng Huang and Zhong-Sheng Liu*

Optimization Technique for Nonlinear System

and Using MMSE Estimate of Spectral Amplitude *by Mourad Talbi, Riadh Baazaoui and Med Salim Bouhlel*

*by Sabrine Slama, Ayachi Errachdi and Mohamed Benrejeb*
