Emerging Technologies in Computational Intelligence

Dear Colleagues,

Computational intelligence is a branch of artificial intelligence that deals with creating algorithms and systems that can learn from data and make decisions based on what they have learned. This includes tasks such as machine learning, neural networks, fuzzy systems, and evolutionary computation. Numerous current technologies, including artificial intelligence, machine learning, data mining, and optimization algorithms, are built upon by the notion of computational intelligence. We can create solutions that are not just faster than before, but also far more precise, by merging these disciplines. Furthermore, because of its adaptability, it can be applied across a wide range of industries from finance to healthcare. In recent years, lots of Emerging Technologies have been developed in the field of computational intelligence, such as deep learning, graph neural networks, multi-task/many-task/transfer/large-scale evolutionary optimization.

Researchers are invited to submit high-quality research papers and surveys for this Special Issue on any topic related to computational intelligence. Papers that highlight the effectiveness and significance of computational intelligence applications are particularly encouraged. Topics of interest include, but are not limited to, the following:

1. Machine learning for object detection, segmentation and categorization;
2. Multi-task/many-task/transfer/large-scale evolutionary optimization;
3. Deep leaning, graph neural networks, diffusion model;
4. Underwater/remote sensing/infrared target detection, identification and tracking;
5. Infrared/radar scene simulation and intelligent learning algorithm;
6. Applications in computational intelligence.

Dr. Hao Li
Prof. Dr. Mingyang Zhang
Dr. Shiguo Chen
Dr. Bingqi Yu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• deep learning
• deep neural networks
• classification
• object detection
• segmentation
• evolutionary algorithm
• fuzzy systems