Applications of Artificial Intelligence and Pattern Recognition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 5428
Special Issue Editors
Interests: intelligent image analytics; embedded-vision systems; artificial intelligence applications; pattern recognition; intelligent vehicles; intelligent transportation system
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; cloud computing; distributed and high-performance computing; Internet of Things (IoT); recommender systems; intelligent agent systems; financial technology
Special Issues, Collections and Topics in MDPI journals
Interests: RF device design and manufacture; semiconductor device simulation and modeling; machine learning in area of semiconductor manufacturing
Special Issue Information
Dear Colleagues,
Recently, Artificial Intelligent (AI) emerged as a game-changing technology that penetrated a wide range of applications such as smart healthcare, intelligent manufacturing, smart transportation, financial technology, etc. The integration of AI and the Internet of Things (IoT) is becoming a research trend to improve the user experience while boosting productivity. For instance, smart systems have enabled the continuously collection of environmental data while accordingly performing various analyses. Despite the methodological breakthrough across computer vision and natural language processing outperforming human beings, the development of intelligent applications is still facing various challenges in response to different domains. The possible challenges range from data processing, computer modeling, domain adaptation, intelligent optimization, control theory, network technology, etc.
In the context of this special issue, researchers are encouraged to explore how mathematical modelling and analysis techniques can be applied to improve AI algorithms and systems. Optimization methods may be employed to develop efficient algorithms capable of handling large datasets in real-time. Numerical methods can be used to analyze and solve complex mathematical models that arise in AI applications. Control theory methods may be developed to ensure that AI systems operate safely and effectively in various environments. Additionally, network technology can be leveraged to enhance the scalability and performance of distributed AI systems. By utilizing these mathematical approaches, researchers can improve the theoretical foundations of AI and devise practical solutions to real-world problems.
This Special Issue will concentrate on both the theoretical and practical of Artificial Intelligence in the application of Industry Internet of Things, Intelligent Transportation, and intelligence systems across different environments and semiconductor process modeling. Thus, we offer the opportunity for researchers to continuously explore new promising research directions while contributing to the research area. Topics include but are not limited to:
- Computer vision;
- Pattern recognition;
- Optimization methods;
- Numerical methods for intelligent systems;
- Financial technology;
- Smart Manufacturing.
Prof. Dr. Yen-Lin Chen
Dr. Wai-Khuen Cheng
Prof. Dr. Hsin-Hui Hu
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- pattern recognition
- machine learning
- deep learning
- industry Internet of Things (IIOT)
- intelligent agents
- intelligent transportation
- intelligent vehicles
- intelligent vision-embedded systems
- financial technology
- smart manufacturing
- machine learning in area of semiconductor manufacturing
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