The 1st International Conference on Machine Intelligence and Smart Innovation (ICMISI'2024)

About

The 1st International Conference on Machine Intelligence and Smart Innovation (ICMISI’2023) will provide an excellent international forum for sharing knowledge and results in the theory, methodology, and applications of Artificial Intelligence, Machine Learning, Biomedical Engineering, and Smart Innovation. The Conference looks for significant contributions to all major fields of Artificial Intelligence and Machine Learning in theoretical and practical aspects. The Conference aims to provide a platform for researchers and practitioners from academia and industry to meet and share cutting-edge development in the field.

Artificial Intelligence is driving a new revolution in manufacturing, automotive, healthcare, robotics, entertainment, and many others. New computing platforms are required to support emerging AI algorithms and applications, from cloud servers to edge devices, from system to circuit level.

ICMISI allows academia to meet industry from the international community to exchange experiences, demonstrate their studies, and further advance AI technologies.

Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works, and industrial experiences that describe significant advances in the following areas, but are not limited to:

 Track 1: Artificial Intelligence and Machine Learning
 Track 2: Big Data and IoT
 Track 3: Medical and Biomedical Applications with Computational Intelligence
 Track 4: Industry 4.0 Applications
 Track 5: Networking and Security
 Track 6: Energy, Green Technology and Sustainable Development
 Track 7: Artificial Intelligence In Circuits and Systems

Deadlines

Submission Deadline: 10 December 2023


Notification of Acceptance: 5 March 2023


Camera Ready: 24 March 2023


Conference Date: 12-13 May 2024

ICMISI’2023 Technical Committee invites authors to submit 6-page papers (IEEE double-column format with references, figures and tables showing the originality, significance and applications, and the used techniques in the research). For reviewing, the full paper should be submitted anonymously (without Authors’ names, and without page numbers) in PDF format through the MS conference management tool CMT. Please refer below for important Deadlines.

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