Special Issue "The Effect of Data Pre-processing and Feature Selection on Learning"

A special issue of Signals (ISSN 2624-6120).

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 553

Special Issue Editors

Electronics & Communication, Engineering Discipline, Khulna University, Khulna 9208, Bangladesh
Interests: convolutional neural network; image classification; biomedical image processing; data prediction; signal processing
Computer Science, College of Computers and Information Technology, Taif University, Taif 26571, Saudi Arabia
Interests: data science; data security; eHealth
Special Issues, Collections and Topics in MDPI journals
Computer Science and Engineering Discipline, Khulna University, Khulna 9208, Bangladesh
Interests: wireless communication; 5G/6G; LTE-U; cooperative communication; game theory; smart grid; UAV communication; healthcare IoT; information security; information system
Special Issues, Collections and Topics in MDPI journals
Dr. M A Parvez Mahmud
E-Mail Website
Guest Editor
School of Engineering, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC 3216, Australia
Interests: energy harvesting; advanced energy materials

Special Issue Information

Dear Colleagues,

Recent advancements in machine learning and artificial intelligence have created a lot of research scope in both the theoretical and practical domains. Researchers of diverse fields are using learning algorithms in solving various identification, classification, and prediction problems. However, since we have a wide range of intelligent algorithms to choose from, selecting the best one for a given task can be tricky. Alternatives techniques are available for data pre-processing and feature selection as well. In this Special Issue, we aim to list the research works that explore the effects of various pre-processing and feature selection techniques on learning and the performance of different learning algorithms on a particular type of data.

The scope of this Special Issue includes but is not limited to:

  1. The analysis of biomedical signals for classification and prediction tasks;
  2. The analysis of biomedical images for classification, segmentation, and prediction tasks;
  3. Novel application-oriented machine learning methods;
  4. Mechanical, electrical, and structural fault signal analysis, detection, and classification;
  5. Histopathological image analysis, classification, and segmentation;
  6. Review articles on signal and image analysis;
  7. Review articles on the machine learning algorithms used in a particular application;
  8. Noise removal and synthetic data generation techniques;
  9. Comparative discussion on various feature extraction, feature selection, and machine learning techniques;

Machine learning-based power system and smart grid applications.

Dr. Abdullah Al Nahid
Prof. Dr. Mehedi Masud
Dr. Anupam Kumar Bairagi
Dr. M A Parvez Mahmud
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. Signals is an international peer-reviewed open access quarterly 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 1000 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.


  • machine learning
  • signal processing
  • image processing
  • biomedical applications
  • feature extraction
  • feature selection
  • deep learning
  • comparative study

Published Papers

There is no accepted submissions to this special issue at this moment.
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