Advancements in Deep Learning and Its Applications

Dear Colleagues,

Deep Learning is a subfield of Machine Learning that has seen significant advancements over the past few years, thanks to the availability of large amounts of data, faster computing hardware, and improved algorithms. The advancements in Deep Learning have revolutionized several fields, including image recognition, speech recognition, natural language processing, robotics, and healthcare. The development of Convolutional Neural Networks, Recurrent Neural Networks, and Deep Reinforcement Learning has significantly improved the performance of Deep Learning models in these areas. As Deep Learning continues to grow, we can expect to see even more breakthroughs in various applications, which will have a profound impact on our lives.

Given this context, this Special Issue calls for a more critical discussion and perspective on the practical implementations of Artificial Intelligence and Deep Learning in real-world scenarios, as well as the recent advancements in leveraging these pioneering technologies, and to disseminate acquired knowledge. We encourage authors to submit original research articles that tackle crucial matters and contribute to the creation of innovative concepts, methodologies, applications, trends, and knowledge in the field. Additionally, review articles that present the current state of the art are warmly welcomed.

You may choose our Joint Special Issue in Applied Sciences.

Dr. Patrícia Ramos
Dr. Jose Manuel Oliveira
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 System Innovation 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 1600 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.