Invitation for special issue "AI/Machine Learning in Computer Vision/Image Processing and Natural Language Processing" with MDPI Electronics
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Ankit Gupta
Oct 29, 2024, 7:38:07 PM10/29/24
to ml-...@googlegroups.com, ml4h...@googlegroups.com, Morgado Dias, Antonio G. Ravelo-Garcia, ankit...@vsb.cz, Cerny Martin
Dear Researchers,
We are pleased to organize a special issue entitled "AI/Machine Learning in Computer Vision/Image Processing and Natural Language Processing" to be published in MDPI Electronics (IF 2.6, Citescore 5.3). This issue invites scientific contributions from young and experienced researchers working in the domain of Artificial Intelligence or Machine Learning with a special focus on applications in Computer Vision and Natural Language Processing, to share their ongoing research with the relevant communities worldwide.
Special Issue Summary
With the rapid pace of innovations and discoveries of generic and robust artificial intelligence/machine learning algorithms and methods, it is challenging to keep track of recent developments in various domains such as computer vision (CV) and natural language processing (NLP). Additionally, exploration of these algorithms is pivotal in investigating their robustness in various domains, such as healthcare, agriculture, remote sensing, marine diversity exploration, signal processing, vital signs monitoring, etc., which also deserve considerable attention. Therefore, with an effort to serve as a one-stop-shop for the AI community dedicated to developing robust AI/ML methods and algorithms in the domains of CV and NLP and applying these methods and algorithms for solving real-time problems of diverse domains, this Special Issue aims to provide a compilation of upcoming significant research developments in the field of AI and machine learning, covering the high- (pattern recognition and sophisticated reasoning) and low-level tasks (feature creation and extraction) encompassing both domains.
This Special Issue aims to cover all aspects of AI and ML and is not limited to the following topics:
Image captioning, object detection and recognition, and scene understanding;
Text summarization, machine translation, and sentiment analysis;
Large language/vision models and foundation models in the context of CV/NLP;
Causal and/or explainable artificial intelligence in the context of CV/NLP;
Edge detection and image or video denoising and deblurring;
Generative modeling and its applications in the context of CV/NLP;
Reinforcement learning and its applications in the context of CV/NLP;
Computer vision-based remote health monitoring, such as remote photoplethysmography or vital signs monitoring;
AI and machine learning methods for biomedical imaging;
NLP in healthcare.
We look forward to your contributions to this Special Issue.
With the rapid pace of innovations and discoveries of generic and robust artificial intelligence/machine learning algorithms and methods, it is challenging to keep track of recent developments in various domains such as computer vision (CV) and natural language processing (NLP). Additionally, exploration of these algorithms is pivotal in investigating their robustness in various domains, such as healthcare, agriculture, remote sensing, marine diversity exploration, signal processing, vital signs monitoring, etc., which also deserve considerable attention. Therefore, with an effort to serve as a one-stop-shop for the AI community dedicated to developing robust AI/ML methods and algorithms in the domains of CV and NLP and applying these methods and algorithms for solving real-time problems of diverse domains, this Special Issue aims to provide a compilation of upcoming significant research developments in the field of AI and machine learning, covering the high- (pattern recognition and sophisticated reasoning) and low-level tasks (feature creation and extraction) encompassing both domains.
This Special Issue aims to cover all aspects of AI and ML and is not limited to the following topics:
Image captioning, object detection and recognition, and scene understanding;
Text summarization, machine translation, and sentiment analysis;
Large language/vision models and foundation models in the context of CV/NLP;
Causal and/or explainable artificial intelligence in the context of CV/NLP;
Edge detection and image or video denoising and deblurring;
Generative modeling and its applications in the context of CV/NLP;
Reinforcement learning and its applications in the context of CV/NLP;
Computer vision-based remote health monitoring, such as remote photoplethysmography or vital signs monitoring;
AI and machine learning methods for biomedical imaging;
NLP in healthcare.
We look forward to your contributions to this Special Issue.
The last date for manuscript submissions is 15 May 2025. For detailed guidelines, please visit: https://www.mdpi.com/journal/electronics/special_issues/F68U4699M8
Informal queries regarding this special issue can be sent to the guest editors of this issue, whose emails are as follows:
Ankit Gupta, Ph.D., Researcher, Technical University of Ostrava(ankit...@vsb.cz)
Prof. Fernando Morgado Dias, Ph.D., Associate Professor, University of Madeira (mor...@staff.uma.pt).
Prof. Antonio G. Ravelo-Garcia, Ph.D., Associate Professor, Universidad de Las Palmas de Gran Canaria (antonio...@ulpgc.es)
Prof. Martin Černý, Ph.D., Full Professor, Technical University of Ostrava (martin...@vsb.cz)
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