Klasifikasi Penyakit Jantung Menggunakan Metode Artificial Neural Network
D Pradana, ML Alghifari, MF Juna… - Indonesian Journal of …, 2022 - jurnal.yoctobrain.org
Secara global, penyebab kematian nomor satu setiap tahunnya adalah penyakit jantung.
Penyakit jantung adalah sebuah kondisi yang menyebabkan jantung tidak dapat …
Penyakit jantung adalah sebuah kondisi yang menyebabkan jantung tidak dapat …
Analisis performa metode klasifikasi Naïve Bayes Classifier pada Unbalanced Dataset
E Apriliyani, Y Salim - Indonesian Journal of Data and Science, 2022 - jurnal.yoctobrain.org
Penelitian ini bertujuan menganalisis menganalisis performa metode Naïve Bayes Classifier
pada berbagai variasi unbalanced dataset. Teknik klasifikasi yang digunakan yaitu dengan …
pada berbagai variasi unbalanced dataset. Teknik klasifikasi yang digunakan yaitu dengan …
Improving Multi-Class Classification on 5-Celebrity-Faces Dataset using Ensemble Classification Methods
This study aims to compare the performance between Random Forest Classifier and
Gaussian Naïve Bayes Classifier in classification. Several evaluation metrics such as …
Gaussian Naïve Bayes Classifier in classification. Several evaluation metrics such as …
Analisis penerapan metode K-Nearest Neighbor (K-NN) pada dataset citra penyakit malaria
Malaria adalah penyakit yang disebabkan oleh parasit protozoa dari genus plasmodium
yang menginfeksi sel darah merah. Penyakit malaria menjadi masalah kesehatan …
yang menginfeksi sel darah merah. Penyakit malaria menjadi masalah kesehatan …
Performance Analysis of the Decision Tree Classification Algorithm on the Water Quality and Potability Dataset
Ensuring water potability is paramount for public health and safety. This research aimed to
assess the efficacy of the Decision Tree classification algorithm in predicting water potability …
assess the efficacy of the Decision Tree classification algorithm in predicting water potability …
Effectiveness Evaluation of the RandomForest Algorithm in Classifying CancerLips Data
Lip cancer, though less commonly discussed, remains a significant concern in the realm of
oncology. Early detection and diagnosis are paramount for improved patient outcomes. This …
oncology. Early detection and diagnosis are paramount for improved patient outcomes. This …
Comparative Study on the Performance of the Bagging Algorithm in the Breast Cancer Dataset
Breast cancer remains a predominant health concern globally. Early detection, powered by
advancements in medical imaging and computational methods, plays a vital role in …
advancements in medical imaging and computational methods, plays a vital role in …
Application of the K-Nearest Neighbors (KNN) Algorithm on the Brain Tumor Dataset
Brain tumors pose significant challenges in the medical domain, necessitating advanced
diagnostic techniques for early and accurate detection. This research paper presents a …
diagnostic techniques for early and accurate detection. This research paper presents a …
Bidirectional current WP and CBAR neural network model-based bearing fault diagnosis
J Zhu, T Liu - IEEE Access, 2023 - ieeexplore.ieee.org
In the era of artificial intelligence, the development of an efficient bearing, fault diagnosis
method is of vital importance to ensure smooth production operations and avoid major …
method is of vital importance to ensure smooth production operations and avoid major …
COMPARISON OF SGD, ADADELTA, ADAM OPTIMIZATION IN GENDER CLASSIFICATION USING CNN
S Mandasari, D Irfan, W Wanayumini… - … (Jurnal Teknologi dan …, 2023 - jurnal.stmikroyal.ac.id
Gender classification is one of the most important tasks of video analysis. A machine
learning-based approach was presented to identify male and female facial images with a …
learning-based approach was presented to identify male and female facial images with a …