Dear Colleague,
The SCIE-indexed, peer-reviewed, open access journal Applied Sciences (ISSN 2076- 3417; Impact Factor: 2.838) is currently running a Special Issue entitled “Machine Learning on Various Data Sources in Smart Applications. For more information on the Special Issue, please visit: https://www.mdpi.com/journal/applsci/special_issues/6X88X4G4WA
The topics include but are not limited to:
Lightweight machine learning models for visual and audio data analysis and applications.
Machine learning models for efficient multimodal data analysis and fusion.
Sensor data analysis based on machine learning.
Efficient deep learning methodologies for the Internet of Things.
Machine learning for applications in smart homes, smart lighting.
Machine learning for smart city applications.
Machine learning and deep learning for intelligent transportation systems.
Machine learning and deep learning for natural language processing and applications.
Machine learning and deep learning for medical sciences applications.
Machine learning for Virtual Reality applications.
Machine learning for Metaverse applications.
The benefits of publishing in Applied Sciences are as follows:
• Quick and reliable publishing service, with a median processing time of less than 38 days;
• English editing service after acceptance, free of charge;
• High availability and visibility: Articles are universally and freely accessible in an easily readable format immediately after publication. Studies have shown that open access articles are viewed and cited more often than articles behind a paywall;
• Quick indexing: SCIE, Scopus, etc.
Applied Sciences is an international, peer-reviewed, and open access journal on all aspects of applied natural sciences published semimonthly online by MDPI. It is abstracted and indexed by Scopus, SCIE, Inspec, DOAJ, etc. The journal has an impact factor of 2.838 and CiteScore of 3.7.
I/We look forward to receiving your contributions.
Best regards,
Prof. Dr. Rung-Ching Chen
Prof. Dr. Goutam Chakraborty
Dr. Christine Dewi
Guest Editors
christine.dewi13@gmail.com
christine.dewi@uksw.edu,