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Thermal Image Classification of Autistic Children Using Res-Net Architecture

DOI : 10.35882/365fkd59
Ahmadiar Ahmadiar (1), Melinda Melinda (2), Zharifah Muthiah (3), Zulfan Zainal (4), Muharratul Mina Rizky (5)
(1) Universitas Syiah Kuala, Indonesia ,
(2) Universitas Syiah kuala, Indonesia ,
(3) Universitas Syiah Kuala, Indonesia ,
(4) Universitas Serambi Mekah, Indonesia ,
(5) Universitas Syiah Kuala, Indonesia
1-10
Abstract : 1339
pdf : 834

Deep Learning-Based Hippocampal Segmentation and MTA Classification Using U-Net with ResNet-50 Backbone

DOI : 10.35882/ijeeemi.v7i4.263
Aldienannisa Devin Salsabila (1), Fatimah Fatimah (2), Darmini Darmini (3), Selamet Budi Kurniawan (4)
(1) Imaging Diagnostic Study Program of Postgraduate Program, Poltekkes Kemenkes Semarang, Semarang, Indonesia, Indonesia ,
(2) Department of Radiodiagnostic and Radiotherapy, Poltekkes Kemenkes Semarang, Semarang, Indonesia, Indonesia ,
(3) Department of Radiodiagnostic and Radiotherapy, Poltekkes Kemenkes Semarang, Semarang, Indonesia, Indonesia ,
(4) Department of Radiology, RS Pusat Otak Nasional Prof.Dr.dr. Mahar Mardjono, Jakarta, Indonesia , Indonesia
701-712
Abstract : 878
pdf : 858

The Role of U-Net Segmentation for Enhancing Deep Learning-based Dental Caries Classification

DOI : 10.35882/ijeeemi.v7i2.75
Muhammad Keysha Al Yassar (1), Maya Fitria (2), Maulisa Oktiana (3), Muhammad Aditya Yufnanda (4), Khairun Saddami (5), Kahlil Muchtar (6), Teuku Reza Auliandra Isma (7)
(1) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(2) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(3) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(4) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(5) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(6) Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Indonesia ,
(7) Institute of Automation, University of Rostock, Germany, Germany
253-269
Abstract : 2370
pdf : 1228

Analysis of Convolutional Neural Network-based Image Classifications: A Multi-Featured Application for Rice Leaf Disease Prediction and Recommendations for Farmers

DOI : 10.35882/ijeeemi.v6i3.4
Biplov Paneru (1), Bishwash Paneru (2), Krishna Bikram Shah (3)
(1) Department of Electronics & Communication Engineering, Nepal Engineering College Pokhara University, Nepal, Nepal ,
(2) Department of Applied Sciences and Chemical Engineering, Tribhuvan University, Institute of Engineering, Nepal, Nepal ,
(3) Department of Computer Science and Engineering, Pokhara University, Nepal, Nepal
Abstract : 1166
pdf : 666

Implementation of the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) Method to Address Class Imbalance in Alzheimer’s Disease Magnetic Resonance Imaging (MRI) Datasets

DOI : 10.35882/ijeeemi.v7i3.109
Muhammad Faiq Alamudin (1), Muhammad Itqan Mazdadi (2), Radityo Adi Nugroho (3), Triando Hamonangan Saragih (4), Muliadi Muliadi (5), Vijay Anant Athavale (6)
(1) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(2) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(3) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(4) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(5) Department of Computer Science, Faculty of Mathematics and Natural Science, Lambung Mangkurat University, Banjarbaru, Indonesia, Indonesia ,
(6) Walchand Institute of Technology, Solapur, India, India
526-538
Abstract : 1620
pdf : 1718

Detection of Rice Diseases: Leaf Blast, Bacterial Leaf Light, and Brown Spot Using Image Enhancement and Faster Region-Based Convolutional Neural Network

DOI : 10.35882/ijeeemi.v8i2.287
Monika Faswia Fahmi (1), Deni Tri Laksono (2), Achmad Fiqhi Ibadillah (3), Dedi Tri Laksono (4)
(1) Department of Electrical Engineering, Universitas Trunodjoyo Madura, Madura, Indonesia, Indonesia ,
(2) Department of Electrical Engineering, Universitas Trunodjoyo Madura, Madura, Indonesia, Indonesia ,
(3) Department of Electrical Engineering, Universitas Trunodjoyo Madura, Madura, Indonesia, Indonesia ,
(4) Department of Electrical Engineering, Politeknik Negeri Padang, Padang, Indonesia, Indonesia
233-247
Abstract : 338
pdf : 579

Generating Synthetic B-Mode Fetal Ultrasound Images Using CycleGAN-Based Deep Learning

DOI : 10.35882/ijeeemi.v8i1.282
Fajar Astuti Hermawati (1), Bagus Hardiansyah (2), Andrianto Andrianto (3)
(1) Department of Informatics, Universitas 17 Agustus 1945 Surabaya, Surabaya, Indonesia , Indonesia ,
(2) Department of Robotics and Artificial Intelligence, Universitas 17 Agustus 1945 Surabaya, Surabaya, Indonesia, Indonesia ,
(3) Department of Informatics, Universitas 17 Agustus 1945 Surabaya, Surabaya, Indonesia, Indonesia
70-79
Abstract : 1215
pdf : 999
1 - 7 of 7 items