Big Data Driven Machine Learning and Deep Learning

Dear Colleagues,

We are inviting submissions to the Special Issue on Big Data-Driven Machine Learning and Deep Learning.

Machine learning constitutes the fundamental cornerstone of artificial intelligence (AI). Despite the remarkable achievements attained by contemporary generative deep learning across a spectrum of application scenarios, this does not signify that it represents the sole pathway for the advancement of AI. Presently, machine learning and deep learning methodologies are undergoing continuous evolution, and their irreplaceable role in specific specialized domains remains unchallenged. In particular, the integration with big data emerges as a pivotal direction in the future development of AI and has evolved into one of the prominent research frontiers in the current academic landscape.

The main topics include computing models, Algorithms, framework and related applications and so on, as well as optimization and application of machine learning theory and big data.

Dr. Linzi Yin
Dr. Anca Udristoiu
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 250 words) can be sent to the Editorial Office for assessment.

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.