Design of Malaria Detection Using Ensemble Techniques - A Combination of Alexnet and Densenet Algorithm

B, Meena and P, Gowri and C, Karthikeyan and B, Dharshini and M, Parameshvar and S, Gokul (2024) Design of Malaria Detection Using Ensemble Techniques - A Combination of Alexnet and Densenet Algorithm. In: Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India.

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Abstract

This paper aims to identify whether a cell is malaria infected or not by applying
machine learning and Deep learning algorithms that are Alex net and Dense net. The
dataset which is used for reference consists of a total 27,558 images, out of which 13,780
images are infected, and the rest are uninfe

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:18
Last Modified: 17 Apr 2026 00:10
URI: http://eprints.eai.eu/id/eprint/47762

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