Machine Learning and Computational Intelligence in Sensors, Signals and Networks
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 144
Special Issue Editor
Interests: information fusion; embedded computing; machine learning; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning and computational intelligence have revolutionized the way we process and analyze data. In recent years, these techniques have been widely applied in the fields of sensors, signals, and networks, leading to significant advancements in various domains, including smart cities, intelligent transportation, smart healthcare, next-generation communication networks and communication, etc.
To showcase the latest research in this area, we are pleased to announce a Special Issue titled "Machine Learning and Computational Intelligence in Sensors, Signals and Networks". This Special Issue will aim to collate the work of researchers and practitioners and encourage them to share their innovative ideas, methodologies, and applications related to machine learning and computational intelligence.
The significance of this Special Issue lies in its potential to enhance the accuracy, efficiency, and reliability of information processing and analysis. It can also enable the development of intelligent systems that can adapt to changing environments and make informed decisions.
We welcome submissions from researchers working in this exciting field. Topics of interest include but are not limited to the following: deep learning, neural networks, fuzzy logic, evolutionary computing, and swarm intelligence and their applications in sensors, signals, and networks.
We look forward to receiving your contributions, whether in theory or practice, and publishing high-quality papers that will advance research in this field.
- Smart cities;
- Intelligent surveillance;
- Smart building；
- Intelligent manufacturing；
- Next-generation communication;
- Smart health.
Dr. Li Xie
Guest Editor
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. Applied Sciences 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.
Keywords
- machine learning
- computational intelligence
- artificial intelligence
- deep learning
- applications in sensors, signals, and networks
