Artificial Intelligence and Big Data Applications

Dear Colleagues,

This Special Issue will present extended versions of selected papers presented at the 3rd International Conference on Machine Intelligence and Data Science Applications (MIDAS-2022), which will be held on 7 and 8 December 2022, at the University of Versailles, Paris Saclay, France. MIDAS-2022 aims to promote and provide a platform for researchers, academics, and practitioners to meet and exchange ideas on recent theoretical and applied machine and artificial intelligence and data sciences research. The conference targets the theme of machine intelligence and its applications. A wide range of works with comprehensive information on image processing, natural language processing, computer vision, sentiment analysis, voice and gesture analysis, and other topics are invited to the conference. The latest works in multidisciplinary applications such as legal, healthcare, smart society, cyber physical systems, and smart agriculture, among others, are also invited. The conference will be of interest to computer science engineers, machine intelligence lecturers/researchers, and engineering graduates. The conference program consists of a wide range of sessions including distinguished lectures, paper presentations, and poster presentations, along with prominent keynote speakers and industrial workshops. The theme for the conference is apt to the present scenario as the world is currently driven by data, and human interference is being limited by using various AI technologies. Authors of invited papers should be aware that the final submitted manuscript must provide a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper.

Prof. Dr. Amar Ramdane-Cherif
Dr. Ravi Tomar
Dr. Thipendra P Singh
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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.