Intelligent Systems and Applications

The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings.

As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments.

This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope.

We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Presents recent research in intelligent systems and applications Gathers the proceedings of the Intelligent Systems Conference 2020 (IntelliSys 2020) held in London, UK from 3 to 4 September 2020 Focuses on various areas of intelligent systems and artificial intelligence and how they apply to the real world

Inhalt
Chapter 1: Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review.- Chapter 2: Detection of Anomalous Patterns in Water Consumption: An Overview of Approaches.- Chapter 3: Alleviating Congestion in Restricted Urban Areas with Cooperative Intersection Management.- Chapter 4: Semantic Segmentation of Shield Tunnel Leakage with Combining SSD and FCN.- Chapter 5: Determining the Gain and Directivity of Antennas using Support Vector Regression.- Chapter 6: Driving Reinforcement Learning with Models.- Chapter 7: Learning Actions with Symbolic Literals and Continuous Effects for a Waypoint Navigation Simulation.- Chapter 8: Understanding and Exploiting Dependent Variables with Deep Metric Learning.- Chapter 9: An Automated System of Threat Propagation using a Horizon of Events Model.- Chapter 10: Realizing Macro based Technique for Behavioral Attestation on Remote Platform.- Chapter 11: The Effect of using Artificial Intelligence on Performance of Appraisal System: A Case Study for University of Jeddah Staff in Saudi Arabia.- Chapter 12: Traffic Accidents Analysis with the GPS/Arc/GIS Telecommunication System.