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Intelligent Systems and Applications : Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1 / edited by Kohei Arai, Supriya Kapoor, Rahul Bhatia.
Format
Book
Language
English
Εdition
1st ed. 2021.
Published/Created
Springer International Publishing 2021
Cham : Springer International Publishing : Imprint: Springer, 2021.
Description
1 online resource (815 pages)
Availability
Available Online
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2021 English International
Details
Subject(s)
Computational intelligence
[Browse]
Robotics
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Automation
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Artificial intelligence
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Editor
Arai, Kohei
[Browse]
Arai, Kohei
[Browse]
Kapoor, Supriya
[Browse]
Kapoor, Supriya
[Browse]
Bhatia, Rahul
[Browse]
Bhatia, Rahul
[Browse]
Arai, Kohei
[Browse]
Kapoor, Supriya
[Browse]
Bhatia, Rahul
[Browse]
Series
Advances in Intelligent Systems and Computing, 1250
[More in this series]
Advances in Intelligent Systems and Computing, 2194-5357 ; 1250
[More in this series]
Summary note
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.
Contents
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.
Show 9 more Contents items
ISBN
3-030-55180-6
Doi
10.1007/978-3-030-55180-3
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Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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