S. Nurmaini

发表

AFibNet: an implementation of atrial fibrillation detection with convolutional neural network

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, BMC Medical Informatics and Decision Making.

Cardiac Arrhythmias Classification Using Deep Neural Networks and Principle Component Analysis Algorithm

S. Nurmaini, Radiyati Umi, M. Naufal, 2018 .

Improving Posture Accuracy of Non-Holonomic Mobile Robot System with Variable Universe of Discourse

B. Tutuko, S. Nurmaini, Kemala Dewi, 2017 .

Metal Oxides Semiconductor Sensors for Odor Classification

Nyayu Latifah Husni, S. Nurmaini, I. Yani, 2017 .

Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2020, IEEE Access.

Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

Ade Iriani Sapitri, Radiyati Umi Partan, M. N. Rachmatullah, 2021, Sensors.

Odor Localization Sub Tasks: A Survey

Nyayu Latifah Husni, S. Nurmaini, I. Yani, 2016 .

Odor localization using gas sensor for mobile robot

Siti Nurmaini, Ade Silvia Handayani, Nyayu Latifah Husni, 2017, 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

Enhancement of The Fuzzy Control Response with Particle Swarm Optimization in Mobile Robot System

S. Nurmaini, Febrina Setianingsih, 2018, 2018 International Conference on Electrical Engineering and Computer Science (ICECOS).

Congenital Heart Diseases in Pregnancy

Radiyati Umi Partan, S. Nurmaini, C. Kesty, 2021, Bioscientia Medicina : Journal of Biomedicine and Translational Research.

The Artificial Intelligence Readiness for Pandemic Outbreak COVID-19: Case of Limitations and Challenges in Indonesia

S. Nurmaini, 2021 .

An improved semantic segmentation with region proposal network for cardiac defect interpretation

Bayu Adhi Tama, Ade Iriani Sapitri, M. N. Rachmatullah, 2022, Neural Computing and Applications.

Cardiac Septal Defects in Children: Hemodynamics, Clinical Manifestations and Detection

Radiyati Umi Partan, S. Nurmaini, Ria Nova, 2021 .

Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy

Ade Iriani Sapitri, M. N. Rachmatullah, A. I. Sapitri, 2022, Sensors.

Text Classification of Cancer Clinical Trials Documents Using Deep Neural Network and Fine Grained Document Clustering

Reza Firsandaya Malik, Siti Nurmaini, Jasmir Jasmir, 2020, Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019).

The Association between NTproBNP Biomarker Levels and Clinical Symptoms of Cardiac Septal Defects in Children

S. Nurmaini, Ria Nova, S. Putra, 2022, Open Access Macedonian Journal of Medical Sciences.

Identification of Indonesian Authors Using Deep Neural Networks

Ade Iriani Sapitri, Bayu Wijaya Putra, M. N. Rachmatullah, 2022, Computer Engineering and Applications Journal.

Cloud-based ECG Interpretation of Atrial Fibrillation Condition with Deep Learning Technique

M. N. Rachmatullah, A. I. Sapitri, B. Tutuko, 2021, Computer Engineering and Applications Journal.

Improving Classification Attacks in IOT Intrusion Detection System using Bayesian Hyperparameter Optimization

Bhakti Yudho Suprapto, Yesi Novaria Kunang, S. Nurmaini, 2020, 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).

Performance Comparison of Feature Face Detection Algorithm on The Embedded Platform

Bhakti Yudho Suprapto, S. Nurmaini, D. Stiawan, 2022, Computer Engineering and Applications Journal.

BEHAVIORAL EVIDENCE OF PUBLIC AIRCRAFT WITH HISTORICAL DATA: THE CASE OF BOEING 737 MAX 8 PK-LQP

S. Nurmaini, Rossi Passarella, 2022, Journal of Applied Engineering Science.

DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection

Ade Iriani Sapitri, A. I. Sapitri, B. Tutuko, 2022, PloS one.

Modular Weightless Neural Network Architecture for Intelligent Navigation

Siti Zaiton Mohd Hashim, Siti Nurmaini, Dayang N. A. Jawawi, 2009, SOCO 2009.

An Embedded Fuzzy Type-2 Controller Based Sensor Behavior for Mobile Robot

Siti Zaiton Mohd Hashim, Siti Nurmaini, S. Nurmaini, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Human Papilloma Virus: Biomolecular Aspect

Legiran, S. Nurmaini, Irfannuddin, 2021, Bioscientia Medicina : Journal of Biomedicine and Translational Research.

WHO Global Strategy in Eradication of Cervical Cancer

Legiran, S. Nurmaini, Irfannuddin, 2021, Bioscientia Medicina : Journal of Biomedicine and Translational Research.

Coronavirus Pandemic Arrhythmia Risk Profile and Ventricular Repolarization Indices in COVID-19 Patients: A Systematic Review and Meta-Analysis

S. Nurmaini, A. E. Tondas, Irfannuddin, 2021 .

Screening for Cervical Cancer

Legiran, S. Nurmaini, Irfannuddin, 2021, Bioscientia Medicina : Journal of Biomedicine and Translational Research.

Epidemiology and Risk Factors for Cervical Cancer

Legiran, S. Nurmaini, Irfannuddin, 2021, Bioscientia Medicina : Journal of Biomedicine and Translational Research.

Identification of Classification Method for Sudden Cardiac Death: A Review

F. Panjaitan, S. Nurmaini, Muhammad Akbar, 2019, 2019 International Conference on Electrical Engineering and Computer Science (ICECOS).

Deep Learning with Long Short-Term Memory for Enhancement Myocardial Infarction Classification

Annisa Darmawahyuni, Siti Nurmaini, Sukemi, 2019, 2019 6th International Conference on Instrumentation, Control, and Automation (ICA).

Attack classification of an intrusion detection system using deep learning and hyperparameter optimization

Deris Stiawan, Siti Nurmaini, Bhakti Yudho Suprapto, 2021, J. Inf. Secur. Appl..

RSSI Data Preparation for Machine Learning

S. Nurmaini, Errissya Rasywir, Y. Pratama, 2020, 2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS).

Abnormality Heartbeat Classification of ECG Signal Using Deep Neural Network and Autoencoder

Siti Nurmaini, Firdaus, Muhammad Fachrurrozi, 2019, 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS).

Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier

Annisa Darmawahyuni, Siti Nurmaini, Wahyu Caesarendra, 2019, Algorithms.

Beat-to-Beat Electrocardiogram Waveform Classification Based on a Stacked Convolutional and Bidirectional Long Short-Term Memory

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, IEEE Access.

Electrocardiogram signal classification for automated delineation using bidirectional long short-term memory

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, Informatics in Medicine Unlocked.

Swarm Intelligent in Bio-Inspired Perspective: A Summary

Siti Nurmaini, Irsyadi Yani, Ekawati Prihatini, 2018, Computer Engineering and Applications Journal.

Automated Detection of COVID-19 Infected Lesion on Computed Tomography Images Using Faster-RCNNs

M. N. Rachmatullah, A. I. Sapitri, B. Tutuko, 2020 .

Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020, Future Gener. Comput. Syst..

Investigating Brute Force Attack Patterns in IoT Network

Deris Stiawan, Reza Firsandaya Malik, Rahmat Budiarto, 2019, J. Electr. Comput. Eng..

Skin Lesion Classification Based on Convolutional Neural Networks

Siti Nurmaini, Dian Palupi Rini, Renny Amalia Pratiwi, 2019, Computer Engineering and Applications Journal.

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020, Electronics.

CervicoXNet: an automated cervicogram interpretation network.

Dian Palupi Rini, M. N. Rachmatullah, A. I. Sapitri, 2023, Medical and Biological Engineering and Computing.

Deep ensemble learning for skin lesions classification with convolutional neural network

Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, 2021 .

Intelligent Robotics Navigation System: Problems, Methods, and Algorithm

Siti Nurmaini, Bambang Tutuko, B. Tutuko, 2017 .

Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification

Ade Iriani Sapitri, M. N. Rachmatullah, A. I. Sapitri, 2022, Sensors.

Robot movement controller based on dynamic facial pattern recognition

Deris Stiawan, Siti Nurmaini, Huda Ubaya, 2021 .

Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification

Ade Iriani Sapitri, M. N. Rachmatullah, A. I. Sapitri, 2022, PeerJ Comput. Sci..

An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsupervised Feature Extraction Technique

Annisa Darmawahyuni, Siti Nurmaini, Wahyu Caesarendra, 2019, Applied Sciences.

Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot

Siti Nurmaini, Ade Silvia Handayani, Nyayu Latifah Husni, 2019, Int. J. Online Biomed. Eng..

Convolutional neural network for semantic segmentation of fetal echocardiography based on four-chamber view

Siti Nurmaini, Ade Iriani Sapitri, B. Tutuko, 2021 .

Unidirectional-bidirectional recurrent networks for cardiac disorders classification

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Automatic Features Extraction Using Autoencoder in Intrusion Detection System

Deris Stiawan, Siti Nurmaini, Ahmad Zarkasi, 2018, 2018 International Conference on Electrical Engineering and Computer Science (ICECOS).

Gas Leak Localization Using Mobile Sensor Networks

Siti Nurmaini, Bambang Tutuko, Agus Triadi, 2015 .

Odor classification using Support Vector Machine

Siti Nurmaini, Ade Silvia Handayani, Nyayu Latifah Husni, 2017, 2017 International Conference on Electrical Engineering and Computer Science (ICECOS).

Coronary Heart Disease Interpretation Based on Deep Neural Network

Annisa Darmawahyuni, Siti Nurmaini, Firdaus Firdaus, 2019, Computer Engineering and Applications Journal.

Deep learning-based real time detection for cardiac objects with fetal ultrasound video

Dian Palupi Rini, B. Tutuko, S. Nurmaini, 2023, Informatics in Medicine Unlocked.

A new control architecture in mobile robot navigation based on IT2neuro-fuzzy controller

Siti Nurmaini, Bambang Tutuko, B. Tutuko, 2011, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.

A Deep Learning Approach to Integrate Medical Big Data for Improving Health Services in Indonesia

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020, Computer Engineering and Applications Journal.

Delineation of electrocardiogram morphologies by using discrete wavelet transforms

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021 .

Image Segmentation for Mitral Regurgitation with Convolutional Neural Network Based on UNet, Resnet, Vnet, FractalNet and SegNet: A Preliminary Study

S. Nurmaini, R. U. Partan, E. Sukandi, 2022, Big Data Cogn. Comput..

Inverse kinematic analysis of 4 DOF pick and place arm robot manipulator using fuzzy logic controller

Siti Nurmaini, Tresna Dewi, Pola Risma, 2020 .

Automated image segmentation for cardiac septal defects based on contour region with convolutional neural networks: A preliminary study

S. Nurmaini, Ria Nova, S. Putra, 2021 .

Spatio-temporal analysis of South Sumatera hotspot distribution

Firdaus, S. Nurmaini, R. F. Malik, 2017, 2017 International Conference on Electrical Engineering and Computer Science (ICECOS).

Localization of Leader-Follower Robot Using Extended Kalman Filter

Siti Nurmaini, Sahat Pangidoan, S. Nurmaini, 2018, Computer Engineering and Applications Journal.

Experimental Convolutional-Recurrent Network in ECG Rhythm for Atrial Fibrillation Classification

M. N. Rachmatullah, B. Tutuko, S. Nurmaini, 2022, 2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

Pattern Recognition Approach for Swarm Robots Reactive Control with Fuzzy-Kohonen Networks and Particle Swarm Optimization Algorithm

Bambang Tutuko, Saparudin, Siti Nurmaini, 2016 .

Congestive heart failure waveform classification based on short time-step analysis with recurrent network

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020 .

Machine Learning Techniques with Low-Dimensional Feature Extraction for Improving the Generalizability of Cardiac Arrhythmia

M. N. Rachmatullah, B. Tutuko, S. Nurmaini, 2021 .

Differential-Drive Mobile Robot Control Design based-on Linear Feedback Control Law

Siti Nurmaini, Bambang Tutuko, Kemala Dewi, 2017 .

Face Movement Detection Using Template Matching

Deris Stiawan, Siti Nurmaini, Ahmad Zarkasi, 2018, 2018 International Conference on Electrical Engineering and Computer Science (ICECOS).

Anomaly detection and monitoring in Internet of Things communication

Deris Stiawan, Reza Firsandaya Malik, Rahmat Budiarto, 2016, 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).

Implementation of Fire Image Processing for Land Fire Detection Using Color Filtering Method

Deris Stiawan, Siti Nurmaini, Ahmad Zarkasi, 2019, Journal of Physics: Conference Series.

Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, BMC Bioinformatics.

Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2022, Journal of clinical medicine.

Automatic Classification of 15 Leads ECG Signal of Myocardial Infarction Using One Dimension Convolutional Neural Network

S. Nurmaini, R. U. Partan, A. Mirza, 2022, Applied Sciences.

A Model of Preprocessing For Social Media Data Extraction

Reza Firsandaya Malik, Siti Nurmaini, Yovi Pratama, 2019, 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS).

FetalNet: Low-light fetal echocardiography enhancement and dense convolutional network classifier for improving heart defect prediction

Ade Iriani Sapitri, B. Tutuko, S. Nurmaini, 2022, Informatics in Medicine Unlocked.

Automated ECG Waveform Annotation Based on Stacked Long Short-Term Memory

Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, 2020, Computer Engineering and Applications Journal.

Accurate Prediction of Sudden Cardiac Death Based on Heart Rate Variability Analysis Using Convolutional Neural Network

S. Nurmaini, R. U. Partan, F. Panjaitan, 2023, Medicina.

Analysis of Classifier Performance on ECG Interpretation for Precision Medicine: Which performance metrics should we use?

Annisa Darmawahyuni, Siti Nurmaini, M Naufal Rachmatullah, 2020, Journal of Physics: Conference Series.

Information Framework of Pervasive Real Time Monitoring System: Case of Peat Land Forest Fires and Air Quality in South Sumatera, Indonesia

Reza Firsandaya Malik, Saparudin, Firdaus, 2016 .

Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, International Journal of Computational Intelligence Systems.

Target tracking in mobile robot under uncertain environment using fuzzy logic controller

Siti Nurmaini, Tresna Dewi, Ade Silvia Handayani, 2017, 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

A Deep Learning Approach for Automated Prediction of Cardiac Arrest from Vital Sign Data of Intensive Care Unit Patients

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, 2023 International Conference on Data Science and Its Applications (ICoDSA).

Deep classifier on the electrocardiogram interpretation system

Siti Nurmaini, Muhammad Naufal Rachmatullah, Radiyati Umi Partan, 2019, Journal of Physics: Conference Series.

XU-NetI: Simple U-Shaped Encoder-Decoder Network for Accurate Imputation of Multivariate Missing Data

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2024, Franklin Open.

Yolact-based Approach for Real-Time Fetal Heart Segmentation

Ade Iriani Sapitri, M. N. Rachmatullah, S. Nurmaini, 2023, 2023 International Conference on Data Science and Its Applications (ICoDSA).