B. Tutuko

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.

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

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

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.

Grounding the Applicability of Eloquent Theoretical Waqf for Rural Waste Management: A Case Study of the Gresik Industry Region

B. Tutuko, Ahmad Hudaifah, F. Prasetya, 2022, Muslim Business and Economic Review.

Meniscal Repair and Parameniscal Cyst Excision with Knee Arthroscopic Surgery: A Case Report

B. Tutuko, I. G. N. Wien Aryana, 2021, International Journal of Health Sciences and Research.

Inter Patient Atrial Fibrillation Classification Using One Dimensional Convolution Neural Network

B. Tutuko, S. Sutarno, A. Rifai, 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.

The “brick” anesthesiologist: Another stone on the wall

B. Tutuko, Marilaeta Cindryani, 2022, Bali Journal of Anesthesiology.

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.

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.

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..

The Implementation of Strategy, Organizational Culture and Performance: Finding ‘The Best Fit’

B. Tutuko, A. Sobirin, 2015 .

THE IMPLEMENTATION OF SALAM-CONTRACT FOR AGRICULTURE FINANCING THROUGH ISLAMIC-CORPORATE SOCIAL RESPONSIBILITY (CASE STUDY OF PADDY FARMERS IN TUBAN REGENCY INDONESIA)

B. Tutuko, Ahmad Hudaifah, Sawarjuwono Tjiptohadi, 2019 .

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

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

MUDHARABAH AGRI-CROWDFUNDING IN THE EX-CLAY MINE UTILIZATION PROGRAM OF PT. SEMEN INDONESIA (PERSERO), TBK. CAMPUS OF C UNIVERSITAS INTERNASIONAL SEMEN INDONESIA

B. Tutuko, Ahmad Hudaifah, Irvan Adhin Cholilie, 2019, al-Uqud : Journal of Islamic Economics.

CervicoXNet: an automated cervicogram interpretation network.

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

DESIGN CONCEPT OF TRAIN OBSTACLE DETECTION SYSTEM IN INDONESIA

Bambang Tutuko, Rossi Passarella, Aditya P.P. Prasetyo, 2011 .

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.

An Applicability of Islamic Social Finance for The Ex-Offenders Independence: A Study on Gresik Local Prison

Ahmad Dahlan Malik, B. Tutuko, Ahmad Hudaifah, 2022, AZKA International Journal of Zakat & Social Finance.

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..

Structuring Model for Corporate Productive Cash-Waqf in Indonesia (A Case Study for PT. Semen Indonesia)

B. Tutuko, Ahmad Hudaifah, D. Zulfakar, 2017 .

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).

Gas Leak Localization Using Mobile Sensor Networks

Siti Nurmaini, Bambang Tutuko, Agus Triadi, 2015 .

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 .

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 .

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.

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.

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2024, IEEE Access.

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.

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).

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.

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm

Ade Iriani Sapitri, M. N. Rachmatullah, B. Tutuko, 2023, BMC Medical Informatics and Decision Making.