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Abstract ABS-24

Student face recognition optimization utilizing the k-nearest neighbor method and particle swarm optimization in testing models and mobile devices Iskandar, Umar Tsani Abdurrahman, Mohamad Anas Sobarnas, Nanik Wuryani Corresponding Author: Wilarso Wilarso

Question from Mr. Aris Rakhmadi 2022.12.21 13:52:33 The objects of the research are faces of student. Can this method be implemented to recognize other objects? For example, in veterinary, the objects are parasites or microorganisms captured by a microscope? Jazaakumullah khairan katsiran min qabl.

Reply from Mr. Wilarso Wilarso 2022.12.21 16:33:42 Dear Mr. Aris Rakhmadi Conceptually Machine Learning can be applied for the detection of parasites and micro-organisms. but for the actual implementation of recognition systems (parasites and microorganisms) a deeper study is needed regarding: interfaces (GUI) and appropriate models (eg CNN) that support machine learning such as the object above. As an example: &#61607- Research has been carried out such as the detection of malaria parasites in the blood. &#61607- By examining thick and thin blood smears to diagnose disease and measure parasitemia. However, its accuracy depends on the quality of the smear and the expertise in classifying and counting parasitized and uninfected cells. &#61607- A computer-assisted diagnostic method based on advanced image analysis using machine learning techniques, applied to microscopic images of blemishes using hand-engineered features demands expertise in analyzing variations in morphology, texture and plane position of interest. &#61607- Convolutional Neural Networks, a deep model learning class that promises highly scalable and superior results with end-to-end feature extraction and classification. We hope that our answers will satisfy you Yours faithfully, Iskandar As reference material, please open the journal below: https://doi.org/10.7717/peerj.4568

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