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Siti Nurmaini
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2020 – today
- 2024
- [j27]Annisa Darmawahyuni
, Siti Nurmaini
Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning. IEEE Access 12: 55342-55356 (2024) - [j26]Yesi Novaria Kunang
An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction. Int. J. Inf. Sec. 23(3): 1619-1648 (2024) - [j25]Siti Nurmaini
A Real-Time End-to-End Framework with a Stacked Model Using Ultrasound Video for Cardiac Septal Defect Decision-Making. J. Imaging 10(11): 280 (2024) - 2023
- [j24]Satria Mandala
Enhanced Myocardial Infarction Identification in Phonocardiogram Signals Using Segmented Feature Extraction and Transfer Learning-Based Classification. IEEE Access 11: 136654-136665 (2023) - [j23]Siti Nurmaini, Ade Iriani Sapitri, Bambang Tutuko, Muhammad Naufal Rachmatullah, Dian Palupi Rini, Annisa Darmawahyuni, Firdaus, Satria Mandala, Ria Nova, Nuswil Bernolian:
Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model. BMC Bioinform. 24(1): 365 (2023) - [j22]Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini
Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning. Int. J. Comput. Intell. Syst. 16(1): 158 (2023) - [j21]Bambang Tutuko, Annisa Darmawahyuni, Siti Nurmaini
Empowering AI-Diagnosis: Deep Learning Abilities for Accurate Atrial Fibrillation Classification. Int. J. Online Biomed. Eng. 19(17): 134-151 (2023) - [j20]Siti Nurmaini
CervicoXNet: an automated cervicogram interpretation network. Medical Biol. Eng. Comput. 61(9): 2405-2416 (2023) - [j19]Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Prazna Paramitha Avi, Samuel Benedict Putra Teguh, Ade Iriani Sapitri, Bambang Tutuko, Firdaus:
Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm. BMC Medical Informatics Decis. Mak. 23(1): 139 (2023) - 2022
- [j18]Linda Atika
Image Segmentation for Mitral Regurgitation with Convolutional Neural Network Based on UNet, Resnet, Vnet, FractalNet and SegNet: A Preliminary Study. Big Data Cogn. Comput. 6(4): 141 (2022) - [j17]Siti Nurmaini
An improved semantic segmentation with region proposal network for cardiac defect interpretation. Neural Comput. Appl. 34(16): 13937-13950 (2022) - [j16]Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Bambang Tutuko, Ade Iriani Sapitri, Firdaus, Ahmad Fansyuri, Aldi Predyansyah:
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification. PeerJ Comput. Sci. 8: e825 (2022) - [j15]Bambang Tutuko, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni
Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification. Sensors 22(6): 2329 (2022) - [j14]Patiyus Agustiansyah
Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy. Sensors 22(15): 5489 (2022) - 2021
- [j13]Siti Nurmaini
Beat-to-Beat Electrocardiogram Waveform Classification Based on a Stacked Convolutional and Bidirectional Long Short-Term Memory. IEEE Access 9: 92600-92613 (2021) - [j12]Jasmir Jasmir
Fine-Grained Algorithm for Improving KNN Computational Performance on Clinical Trials Text Classification. Big Data Cogn. Comput. 5(4): 60 (2021) - [j11]Yesi Novaria Kunang
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization. J. Inf. Secur. Appl. 58: 102804 (2021) - [j10]Dodo Zaenal Abidin
Indoor Positioning System in Learning Approach Experiments. J. Electr. Comput. Eng. 2021: 6592562:1-6592562:16 (2021) - [j9]Bambang Tutuko, Siti Nurmaini
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network. BMC Medical Informatics Decis. Mak. 21(1): 216 (2021) - [j8]Siti Nurmaini
Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection. Sensors 21(23): 8007 (2021) - 2020
- [j7]Siti Nurmaini
Accurate Detection of Septal Defects With Fetal Ultrasonography Images Using Deep Learning-Based Multiclass Instance Segmentation. IEEE Access 8: 196160-196174 (2020) - [j6]Siti Nurmaini
Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks. Future Gener. Comput. Syst. 113: 304-317 (2020)
2010 – 2019
- 2019
- [j5]Annisa Darmawahyuni
Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier. Algorithms 12(6): 118 (2019) - [j4]Ade Silvia Handayani
Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot. Int. J. Online Biomed. Eng. 15(6): 83-98 (2019) - [j3]Deris Stiawan
Investigating Brute Force Attack Patterns in IoT Network. J. Electr. Comput. Eng. 2019: 4568368:1-4568368:13 (2019) - 2018
- [j2]Bambang Tutuko, Siti Nurmaini, Saparudin, Gita Fadila Fitriana:
Enhancement of Non-Holonomic Leader-Follower Formation Using Interval Type-2 Fuzzy Logic Controller. Int. J. Online Eng. 14(9): 124-142 (2018) - 2016
- [c4]Bambang Tutuko, Siti Nurmaini
Formation Control Optimization for Odor Localization. SCDM 2016: 51-61 - 2015
- [j1]Siti Nurmaini
Simple Pyramid RAM-Based Neural Network Architecture for Localization of Swarm Robots. J. Inf. Process. Syst. 11(3): 370-388 (2015) - 2011
- [c3]Siti Nurmaini
A new control architecture in mobile robot navigation based on IT2neuro-fuzzy controller. ICEEI 2011: 1-7
2000 – 2009
- 2009
- [c2]Siti Nurmaini
An Embedded Interval Type-2 Neuro-Fuzzy Controller for Intelligent Navigation of Mobile Robot. SMC 2009: 4315-4321 - 2008
- [c1]Siti Nurmaini
An Embedded Fuzzy Type-2 Controller Based Sensor Behavior for Mobile Robot. ISDA (2) 2008: 29-34
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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