AI Knowledge Transfer from the University to Society

This book brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies which explore AI in a variety of high-impact sectors, to lead innovation and assist in decision-making.

AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features

• Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism

• Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campus

  Autorentext

José Guadix Martín, Professor, Department of Industrial Organization and Business Management, University of Seville, Spain.

Milica Lilic, R&D Project Manager at the Secretariat of Knowledge Transfer and Entrepreneurship, University of Seville, Spain.

Marina Rosales Martínez, Head of Service at the Secretariat of Knowledge Transfer and Entrepreneurship, University of Seville, Spain.

Klappentext

This book brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies which explore AI in a variety of high-impact sectors, to lead innovation and assist in decision-making.

Zusammenfassung
This book brings together examples from the Innovative Ecosystem with Artificial Intelligence for Andalusia 2025 project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies which explore AI in a variety of high-impact sectors, to lead innovation and assist in decision-making.

Inhalt

Foreword: Artificial Intelligence: The New Paradigm to Boost Society 5.0

Editors

Contributors

Introduction

1 Health and Social Welfare

1.1 Artificial Intelligence for the Optimization of Focused Ultrasound Cleaning of Shunts Implanted in Patients of Different Pathologies

1.2 Assuring the Quality and Security of Medical Robotics Process Automation

1.3 Machine Learning and Single-Cell Transcriptomic Analysis in the Brain

2 Energy Efficiency and Sustainable Construction

2.1 IoT for Energy-Efficient Gas Meters

2.2 Wireless Sensor Network for Sustainable Construction and Intelligent Transport

2.3 Introduction to Dynamic Maintenance Scheduling Based on the Advanced Use of Predictive Analytical Techniques: Application to the Use Case of Intelligent Maintenance of High-Speed Trains

3 Digital Economy

3.1 Detecting Cyber Incidents in IoT: A Case Study in Smart Cities

3.2 Reliable Government Automation of Regulated Infrastructures by Service Level Agreements

3.3 Generating Data Sets for Intent Classification in Conversational Systems

3.4 An Artificial Intelligence Tool to Calibrate the Coverage of Information Sources on the Internet

4 Mobility Logistics and Advanced Industry Linked to Transportation

4.1 Optimizing Stock Replenishment in Fashion Retailers

4.2 Development of a Surveillance System for Maintenance and Diagnosis of Buses Based on Can-Bus Data Transmitted Wirelessly

4.3 A Mathematical Optimization and Machine Learning Approach for Pipeline Routing

4.4 Digital Factory for Small- and Medium-Sized Advanced Transport Companies

4.5 A Novel Approach to Radiation Hardness Assurance for Aerospace Applications Based on Machine Learning

4.6 Optical Sensing and Self-Learning Approach to Estimate the State Condition of Railway Infrastructure Sublayers

4.7 Power-Efficient Analog-to-Information Image Sensors: The Fuel of AI Microsystems

5 Endogenous Land-Based Resources, Agroindustry, and Tourism

5.1 Prioritizing Water Distribution and Sewer Network Maintenance Activities

5.2 New Data Structure (Asymmetrical and Multiscale Grid) for Geodata Integration and Input for Machine Learning Analysis

5.3 Development of Yield Monitoring System Based on Computer Vision for Super-High-Density Olive Orchard

5.4 Smart Agriculture Based on Cyber-Physical Systems

5.5 Development and Adaptation of Digital Information Models for the Management of Architectural Assets: Case Studies in Archaeological and Architectural Heritage

Conclusion

Index