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Special Issue "Hybrid Machine Learning Techniques Applied in Real Engineering Applications"
Deadline for manuscript submissions: 31 January 2020.
Interests: network security; cloud/fog data centers; mathematical optimization; artificial intelligence; machine learning algorithms; wireless sensor network
Special Issues and Collections in MDPI journals
With the increasing rate of information stored in databases, the development of efficient and effective tools for extracting knowledge from these data has become a vital task for researchers in the areas of databases, statistics, machine learning, and data visualization. Furthermore, prediction methods combining clustering and classification techniques have the potential for creating more accurate results than the individual methods, particularly for large datasets. One of the challenges that every machine learning algorithm is faced with is scalability and validity to large datasets. In the literature, research devoted to applying hybrid data mining methods, hybrid machine learning, and corporation deep learning technologies, which combine clustering and classification techniques, can improve the key performance metric of different real engineering applications. In the context of these trends, the forthcoming Special Issue will address significant issues in the field of applied machine learning, and mathematical techniques, such as nonlinear analysis, variational analysis, convex analysis, optimization techniques, and soft computing strategies, to deal with the large/big datasets in real engineering problems.
Dr. Mohammad Shojafar
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 papers will be 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. Mathematics is an international peer-reviewed open access monthly 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 1200 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.
- Hybrid machine learning
- Artificial intelligence
- Convex analysis
- (Non)linear optimization
- Engineering application
- Big data