IntechOpen Book Series Artificial Intelligence Volume 5

Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and

participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the *International Journal of Artificial Intelligence*, *Data in Brief*, and *Journal of Advanced Transportation*. He is also a guest editor for the *Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation* and *IEEE ITS Magazine.*

Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of imper-

sonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA's ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).

Dr. Jesus L. Lobo (Ph.D. in Information and Communications Technologies in Mobile Networks since 2018) is currently working at TECNALIA as a data scientist and machine learning/artificial intelligence researcher. His research topics include stream learning (online learning and concept drift), lifelong machine learning, ensemble building, and spiking neural networks. He is a member of the GEI-Big Data, an international excellence

group at TECNALIA, and a member of the JRLab. He writes and reviews manuscripts for scientific journals and conferences, and he has worked as a data science trainer. He has dealt with real problems such as robotics planning, electricity fraud detection, and EEG signals to identify fatigue of pilots in aircrafts. He designs predictive/descriptive models working with the latest machine learning and optimization techniques.

Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning

Contents

Paradigms and Novel Applications

Based on Deep Learning in Medical Imaging

*Thomas Mih Attia and Daniel Tchiotsop*

Power Quality Monitoring

*by Mrinmoy Roy*

Image Recognition

*and Kosuke Takano*

*by Gideon Samid*

**Preface XI**

**Chapter 1 1**

**Chapter 2 7**

**Chapter 3 23**

**Chapter 4 41**

**Chapter 5 55**

**Chapter 6 73**

**Chapter 7 87**

**Chapter 8 107**

The Prospects for Creating Instruments for the Coordination of Activities of International Organizations in the Regulation of Artificial Intelligence

A Food Recommender Based on Frequent Sets of Food Mining Using

*by Thunchanok Tangpong, Somkiet Leanghirun, Aran Hansuebsai* 

Introductory Chapter: Artificial Intelligence - Latest Advances, New

Big Data Framework Using Spark Architecture for Dose Optimization

*by Clémence Alla Takam, Aurelle Tchagna Kouanou, Odette Samba,* 

Novelty Detection Methodology Based on Self-Organizing Maps for

*by Juan Jose Saucedo-Dorantes, David Alejandro Elvira-Ortiz, Arturo Yosimar Jaen-Cuéllar and Manuel Toledano-Ayala*

AI-Powered Workforce Management and Its Future in India

Agent Based Load Balancing in Grid Computing

*by Wided Ali and Fatima Bouakkaz*

*by Valentina Petrovna Talimonchik*

Artificial Intelligence Assisted Innovation

*by Esther Villar, Eneko Osaba, Jesus L. Lobo and Ibai Laña*

models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.
