Guest Editors
Dr. Karolina Nurzyńska
Email: Karolina.Nurzynska@polsl.pl
Affiliation: Department of Algoritmics and Software, Silesian University of Technology, Gliwice, 44-100, Poland
Homepage:
Research Interests: machine learning, deep learning, deep neural network architectures, medical image analysis, large language models
Dr. Sebastian Iwaszenko
Email: siwaszenko@gig.eu
Affiliation: GIG National Research Institute, Katowice, 40-166, Poland
Homepage:
Research Interests: computer vision, machine learning, deep learning, artificial intelligence, industrial applications of AI tools and methods
Summary
The swift advancement of artificial intelligence techniques is astonishing. Deep learning models enable more accurate outcomes across all fields where they are implemented. The potential applications of these models, along with traditional machine learning, are becoming increasingly varied and diverse. Consequently, research in this area is becoming more demanding, and the results are quickly being integrated into everyday life.
This Special Issue emphasizes progress in the creation and enhancement of methods for processing visual and audio signals. The growing availability and accessibility of hardware for capturing these signals have resulted in a significant increase in data collection. However, the vast amount of data gathered necessitates the development of quicker and more efficient methods for analyzing and processing signal data. As data acquisition has become more straightforward and cost-effective, there is an increasing demand for automated processing and analysis to interpret the collected information.
In this Special Issue, we invite submissions that delve into pioneering research and recent progress in the field of visual and audio signal analysis across all possible domains. We particularly encourage submissions that present innovative approaches and assess their impact compared to the current state-of-the-art.
Keywords
image processing and understanding, image recognition, computer vision, multimodal images understanding, multispectral images understanding, visual attention, image denoising, knowledge discovery, image understanding applications, audio processing and understanding, frequency analysis, wavelet analysis, speech recognition, signal denoising, signal decomposition, timeseries analysis, features discovery, pattern recognition, pattern identification
Published Papers
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