Firdaus Firdaus

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

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

EDUWHAP REMAJA SIAP CEGAH STUNTING DALAM WADAH KUMPUL SHARING REMAJA

Reny Noviasty, Fadillah Rahayu, Firdaus Firdaus, 2020 .

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..

TRAINING IN UTILIZING LOCAL FOOD IN STUNTING PREVENTION IN SOMOGEDE VILLAGE

I. Istiqomah, Firdaus Firdaus, Irfan Faozi, 2022, Abdimas Galuh.

ANALISIS BENCANA TANAH LONGSOR SERTA MITIGASINYA

Nugroho Prasetya Adi, F. Fatiatun, Sri Jumini, 2019, SPEKTRA : Jurnal Kajian Pendidikan Sains.

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.

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).

A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing

Noor Azurati Ahmad, Firdaus Firdaus, Shamsul Sahibuddin, 2020 .

Unidirectional-bidirectional recurrent networks for cardiac disorders classification

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

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

Annisa Darmawahyuni, Bambang Tutuko, Siti Nurmaini, 2020 .

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.

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

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

Indoor positioning system based Wi-Fi fingerprinting for dynamic environment: Experimental preliminary result

Noor Azurati Ahmad, Shamsul Sahibuddin, Noor Azurati Ahmad, 2017 .

Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments

Iyad Husni Alshami, Noor Azurati Ahmad, Shamsul Sahibuddin, 2017, Sensors.

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

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

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.

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.

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.

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.

URGENSI SOFT SKILLS DAN CHARACTER BUILDING BAGI MAHASISWA

Firdaus Firdaus, 2017 .

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

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

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

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

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.

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

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

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.

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.

Marketing Performance Berbasis Product Innovativeness dan Islamic Differentiation Advantage

F. Firdaus, Firdaus Firdaus, 2020 .

Fingerprint indoor positioning based on user orientations and minimum computation time

Noor Azurati Ahmad, Shamsul Sahibuddin, Firdaus Firdaus, 2019, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Delineation of electrocardiogram morphologies by using discrete wavelet transforms

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, 2021 .

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

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.

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

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

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

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

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).

The Most Possible Scheme of Joint Service Detection for the Next Wireless Communication Technologies

Hendra Setiawan, Firdaus Firdaus, F. Firdaus, 2013 .

Identification of Indonesian Authors Using Deep Neural Networks

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

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.

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.

AKAR RUMPUT KORUPSI DI INDONESIA : SEBUAH PERSPEKTIF ISLAM

F. Firdaus, Firdaus Firdaus, 2021 .

Effects of Various Semiconducting Oxides as Photoanode and Counter Electrode for Dye Sensitized Solar Cell Application - A Review

P. Marwoto, F. Firdaus, Kusnanto Mukti Wibowo, 2020, INDONESIAN JOURNAL OF APPLIED PHYSICS.

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).

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.