Archive for the ‘Congress’ Category

Invitation to Submit Late-Breaking Abstracts for AIiH 2024

I am excited to introduce you to the first International Conference on Artificial Intelligence in Healthcare (AIiH 2024), which will take place in Swansea, United Kingdom, from September 4th to September 6th, 2024. This premier conference aims to bring together researchers and practitioners dedicated to enhancing healthcare through the use of modern artificial intelligence . AIiH […]

Digital Data Processing 2024

Fourth International Conference on Digital Data Processing (DDP 2024)Yeshiva University. New York. USSeptember 30-October 01, 2024(www.socio.org.uk/ddp)(IEEE Xplore indexed) As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep […]

LMAG R9 – Recordatorio – MIE/19/JUN – Webinario “Lenguaje Inclusivo en IEEE”

To view complete details for this event, click here to view the announcement WEBINARIO “Lenguaje Inclusivo en IEEE” Norberto lerendegui – MIE/19/JUN/2024      Los invitamos cordialmente a la próxima actividad de los Grupos de Afinidad de Miembros Vitalicios de la Región 9. En esta oportunidad, el Ingeniero Norberto Lerendegui disertará sobre “Lenguaje Inclusivo en IEEE”. […]

ACTIVIDAD PARA ESTUDIANTES DE PREGRADO Y POSGRADO: XI Torneo Regional de Inteligencia Computacional Septiembre 17. PRE-ARGENCON 2024

Martes, 17 de septiembre – presencial. Pre-Congreso ARGENCON 2024. El IEEE Computational Intelligence Society Argentina junto al Games Technical Committee llevarán a cabo el martes 17 de septiembre la undécima edición del Torneo Regional de Inteligencia Computacional como actividad previa de ARGENCON 2024, el Congreso Bienal premium de la Sección Argentina del IEEE. El TRIC […]

Special Issue “Application of Machine Learning Algorithms for Biological Data and Biological Systems”

Biological data are collected from a variety of sources, including humans, animals, and viruses. Research on these data has emerged in many fields, such as genetics, proteomics, and healthcare applications, to name a few. Presently, thanks to the development of computer technology, extracting useful data from raw biological data and deciphering intricate biological data have become […]

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