Hybrid genetic algorithm random forest algorithm (HGARF) for improving the missing value imputation in hepatitis medical dataset
It has always been difficult to make an exact prediction when there are many missing
numbers in the data collection. To solve this problem, the majority of hybrid models either …
numbers in the data collection. To solve this problem, the majority of hybrid models either …
Automated Classification of Myocardial Infarction Based on Auscultation Position Using Random Forest
I Puspasari, TLR Mengko, AW Setiawan… - … in Information and …, 2024 - ieeexplore.ieee.org
Myocardial Infarction is a disease requiring immediate treatment. ECG examination has the
disadvantage of diagnosing MI signals. This research used phonocardiogram signals to …
disadvantage of diagnosing MI signals. This research used phonocardiogram signals to …
Optimized featureset in classification of plant leaves images using machine learning models
NJ Inamdar, M Managuli - International Journal of Computing …, 2024 - journal.uob.edu.bh
Saving the earth becomes the utmost priority and responsibility of any individual.
Environmental and ecosystem health assessment studies require precision farming …
Environmental and ecosystem health assessment studies require precision farming …
EKG sinyallerinden elde edilen görüntülerin hibrit derin öğrenme yöntemleri kullanılarak sınıflandırılması
O Akçan - 2023 - acikerisim.subu.edu.tr
Kardiyovasküler hastalıkların en aza indirilmesi için erken teşhis ve tedavi oldukça
önemlidir. Kardiyovasküler hastalıkların teşhisinde elektrokardiyogram (EKG) sıklıkla …
önemlidir. Kardiyovasküler hastalıkların teşhisinde elektrokardiyogram (EKG) sıklıkla …