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Tunc Asuroglu

2 papers indexed

crossrefApplied Sciences2024-07-17Cited by 9

Advancing Crayfish Disease Detection: A Comparative Study of Deep Learning and Canonical Machine Learning Techniques

Yasin Atilkan, Berk Kirik, Koray Acici, Recep Benzer, Fatih Ekinci, Mehmet Serdar Guzel, et al.

This study evaluates the effectiveness of deep learning and canonical machine learning models for detecting diseases in crayfish from an imbalanced dataset. In this study, measurements such as weight, size, and gender of healthy and diseased crayfish individuals were taken, and a…

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crossrefDiagnostics2023-09-01Cited by 12

Crohn’s Disease Prediction Using Sequence Based Machine Learning Analysis of Human Microbiome

Metehan Unal, Erkan Bostanci, Ceren Ozkul, Koray Acici, Tunc Asuroglu, Mehmet Serdar Guzel

Human microbiota refers to the trillions of microorganisms that inhabit our bodies and have been discovered to have a substantial impact on human health and disease. By sampling the microbiota, it is possible to generate massive quantities of data for analysis using Machine Learn…

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