Applications of Soft Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 2966
Special Issue Editors
Interests: data mining; high performance computing; big data; GPGPU; bioinformatics
Interests: computer vision; machine learning; image and signal processing; 5G communications; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; bioinformatics; astrostatistics; big data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the world of scientific research has been significantly transformed by the rapid evolution of soft computing techniques. These cutting-edge techniques aim to exploit tolerance of inaccuracies, uncertainties and partial truths to achieve ease of use, robustness and cost reduction in the search for solutions. The adaptability and problem solving capabilities of soft computing make it a driving force in tackling intricate challenges in a variety of applications. Therefore, there is a need to develop and optimise techniques and algorithms capable of solving soft computing problems reliably and efficiently.
This Special Issue, titled "Applications of Soft Computing", serves as a dedicated forum for gathering the latest developments in the utilization of soft computing techniques across a wide spectrum of fields. Our primary focus areas, closely aligned with the specified keywords, include, but are not limited to, the following:
- Soft computing applications in bioinformatics: exploration of how soft computing techniques are applied to problems related to bioinformatics.
- Deep learning optimization: investigation of how soft computing applications are used to optimize neural networks, improving their performance and efficiency.
- Optimized scheduling: exploration of how soft computing techniques are applied to scheduling problems.
- Computer vision enhanced by soft computing: investigation of how soft computing is used to enhance computer vision systems, enabling object recognition, pattern detection and image and video interpretation, among others, in a variety of applications.
- Pattern recognition in soft computing applications: examination of how soft computing techniques are applied in pattern recognition.
- Forecasting in soft computing applications: exploration of how soft computing is used to improve forecasting and forecasting models in several fields.
- Soft computing in real-world applications: examination of real-world case studies and practical implementations of soft computing methodologies, highlighting their effectiveness.
- Advancements in soft computing techniques: sharing innovative techniques and methodologies within the realm of soft computing.
- Challenges and future directions: discussion of emerging challenges and opportunities in the field of soft computing, paving the way for future research directions and interdisciplinary collaborations.
This Special Issue seeks to provide a platform for researchers to disseminate their pioneering work, foster knowledge exchange and encourage collaborative endeavours in the dynamic arena of soft computing applications. We invite submissions that showcase novel applications, comparative studies and practical implementations of soft computing methodologies across diverse domains.
Dr. Aurelio López-Fernández
Dr. Francisco A. Gómez Vela
Dr. Miguel García-Torres
Guest Editors
Manuscript Submission Information
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Keywords
- soft computing
- evolutionary computing
- neurocomputing
- process optimization
- vision or pattern recognition
- forecasting
- bioinformatics
- other issues related to the advances of soft computing in various applications
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