Machine Learning and Deep Learning Based Pattern Recognition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 21563
Special Issue Editors
Interests: pattern recognition; character recognition; image processing; computer vision; human–computer interaction; neurological disease analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; artificial intelligence; pattern recognition; medical image and signal processing; machine learning; computer vision
Interests: applications of artificial intelligence/machine learning for wireless networks; wireless communication networks; network security
Special Issue Information
Dear Colleagues,
In the modern digital world, patterns can be found in many facets of daily life. They can be physically observed or computationally detected using algorithms. In the digital environment, a pattern is represented by a vector or matrix feature value. Recently, numerous machine learning (ML)- and deep learning (DL)-based techniques have been widely used in order to handle or analyze these feature values in the artificial intelligence (AI) domain. ML is a branch of AI and its goal is to let the computer make its own decisions with minimal human involvement using pattern data. On the other hand, DL is a branch of ML and a popular topic in the field of AI. Using DL and ML models to extract meaningful features from the given text, image, video, or sensor data and analyze those features is known as pattern recognition (PR). PR has been used in various applications in the fields of engineering such as computer vision, sensor data analysis, natural language processing, speech recognition, robotics, bioinformatics, and so on. The goal of this Special Issue is to publish innovative and technically sound research papers that exhibit theoretical and practical contributions to PR utilizing ML and DL methodologies.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Image processing/segmentation/recognition;
- Computer vision;
- Speech recognition;
- Automated target recognition;
- Character recognition;
- Gesture and human activity recognition;
- Industrial inspection;
- Medical diagnosis;
- Health informatics;
- Biosignal processing;
- Bioinformatics;
- Remote sensing ;
- Healthcare application;
- ML and DL and the Internet of Things (IoT);
- Large dataset analysis;
- Current state-of-the-art and future trends of ML and DL.
Prof. Dr. Jungpil Shin
Prof. Dr. Md. Al Mehedi Hasan
Dr. Hoang D. Le
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- deep learning
- pattern recognition
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