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Wiharto
Wiharto
Department of Informatic, Sebelas Maret University, Indonesia
在 staff.uns.ac.id 的电子邮件经过验证 - 首页
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引用次数
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年份
Sistem Pakar Untuk Mendiagnosis Penyakit Infeksi Menggunakan Forward Chaining
AAN Mutsaqof, WI Wiharto, E Suryani
ITSmart: Jurnal Teknologi dan Informasi 4 (1), 43-47, 2015
902015
Intelligence system for diagnosis level of coronary heart disease with K-star algorithm
W Wiharto, H Kusnanto, H Herianto
Healthcare informatics research 22 (1), 30-38, 2016
582016
Interpretation of clinical data based on C4. 5 algorithm for the diagnosis of coronary heart disease
W Wiharto, H Kusnanto, H Herianto
Healthcare informatics research 22 (3), 186-195, 2016
552016
The comparison of clustering algorithms K-means and fuzzy C-means for segmentation retinal blood vessels
W Wiharto, E Suryani
Acta Informatica Medica 28 (1), 42, 2020
442020
Pengaruh Normalisasi Data pada Jaringan Syaraf Tiruan Backpropagasi Gradient Descent Adaptive Gain (BPGDAG) untuk Klasifikasi
N Chamidah, WI Wiharto, U Salamah
ITSmart: Jurnal Teknologi dan Informasi 1 (1), 28-33, 2012
402012
Hybrid System of Tiered Multivariate Analysis and Artificial Neural Network for Coronary Heart Disease Diagnosis
W Wiharto, H Kusnanto, H Herianto
International Journal of Electrical and Computer Engineering (IJECE) 7 (2 …, 2017
392017
Segmentasi Citra Sel Darah Merah Berdasarkan Morfologi Sel untuk Mendeteksi Anemia Defisiensi Besi
A Setiawan, E Suryani, W Wiharto
Jurnal ITSmart, Universitas Sebelas Maret 3 (1), 1-8, 2016
382016
Identification and Counting White Blood Cells and Red Blood Cells using Image Processing Case Study of Leukemia
E Suryani, W Wiharto, N Polvonov
International Journal of Computer Science and Network Solutions 2 (6), 35-49, 2014
302014
Performance Analysis of Multiclass Support Vector Machine Classification for Diagnosis of Coronary Heart Diseases
W Wiharto, H Kusnanto, H Herianto
International Journal on Computational Science and Applications 5 (5), 27-37, 2015
232015
Classification of acute myeloid leukemia subtypes M1, M2 and M3 using active contour without edge segmentation and momentum backpropagation artificial neural network
A Harjoko, T Ratnaningsih, E Suryani, W Wiharto, S Palgunadi, ...
MATEC Web of Conferences 154, 01041, 2018
222018
Cells identification of acute myeloid leukemia AML M0 and AML M1 using K-nearest neighbour based on morphological images
ES Wiharto, S Palgunadi, YR Putra, E Suryani
2017 International Conference on Data and Software Engineering (ICoDSE), 1-6, 2017
192017
System diagnosis of coronary heart disease using a combination of dimensional reduction and data mining techniques: A review
W Wiharto, H Kusnanto, H Herianto
Indonesian Journal of Electrical Engineering and Computer Science 7 (2), 514-523, 2017
172017
Expert system for detecting mental disorder with Forward Chaining method
P Windriyani, Wiharto, SW Sihwi
ICT for Smart Society (ICISS), 2013 International Conference on, 1-7, 2013
172013
The analysis effect of cluster numbers on fuzzy c-means algorithm for blood vessel segmentation of retinal fundus image
W Wiharto, E Suryani
2019 International Conference on Information and Communications Technology …, 2019
162019
Classification of Acute Myelogenous Leukemia (AML M2 and AML M3) using Momentum Back Propagation from Watershed Distance Transform Segmented Images
E Suryani, W Wiharto, S Palgunadi, PTP Nurcahya
IOP Conf. Series: Journal of Physics: Conf. Series 801 (2017), 1-9, 2017
162017
Identifikasi Anemia Thalasemia Betha (β) Mayor Berdasarkan Morfologi Sel Darah Merah
E Suryani, W Wiharto, KN Wahyudiani
Scientific Journal of Informatics 2 (1), 15-27, 2016
152016
The Hybrid Method of SOM Artificial Neural Network and Median Thresholding for Segmentation of Blood Vessels in the Retina Image Fundus
W Wiharto, E Suryani, M Susilo
International Journal of Fuzzy Logic and Intelligent Systems 19 (4), 323-331, 2019
142019
Modification of a Density-Based Spatial Clustering Algorithm for Applications with Noise for Data Reduction in Intrusion Detection Systems
W Wiharto, AK Wicaksana, DE Cahyani
International Journal of Fuzzy Logic and Intelligent Systems 21 (2), 189-203, 2021
132021
Hybrid model feature selection with the bee swarm optimization method and Q-learning on the diagnosis of coronary heart disease
YAZA Fajri, W Wiharto, E Suryani
Information 14 (1), 15, 2022
122022
The methods of duo output neural network ensemble for prediction of coronary heart disease
W Wiharto, E Suryani, V Cahyawati
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 7 (1 …, 2019
122019
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