Advances in Artificial Intelligence, Machine Learning and Deep Learning Application

Dear Colleagues,

With the advances in modern technology over the recent decade, the involvement of artificial intelligence (AI) has been pivotal in enhancing the effectiveness and efficiency in many systems and in all fields of knowledge, including medical diagnosis, healthcare, vehicular technologies, agriculture, policing, industrial manufacturing, finance, sports, and many other domains. The purpose of this Special Issue is to report on the advances in state-of-the-art research on artificial intelligence and machine learning applications. This includes the design and development of novel algorithms based on machine learning and deep learning for application to data acquired from recently emerged devices, sensors, and equipment for the automatic prediction and detection of patterns of interest. This also includes implementation of novel AI and big data technologies for extracting relevant information from unstructured data with enhanced performance across different sectors. The advances in the state-of-the-art for addressing real-world AI applications are of great interest.

Manuscripts are required to show significant improvements in a variety of learning methods, problem conceptualization, data collecting and processing, and feature engineering through critical comparisons with existing methodologies.

The research domains may involve (but are not limited to):

• Medical diagnosis
• Personalized health monitoring and management
• Assistive technologies
• Clinical engineering
• Health technology assessment
• Robotics
• Agricultural technologies
• Autonomous vehicular technologies
• Intelligence led policing
• Industrial manufacturing

Dr. Muhammad Salman Haleem
Prof. Dr. Liangxiu Han
Dr. Ernesto Iadanza
Prof. Dr. Baihua Li
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. Electronics 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.