Cascading Convolutional Neural Network for Steel Surface Defect Detection. - Chih-Yang Lin; Cheng-Hsun Chen; Ching-Yuan Yang; Fityanul Akhyar; Chao-Yung Hsu; Hui-Fuang Ng (AHFE (14), 2019)

High Efficient Single-stage Steel Surface Defect Detection. - Fityanul Akhyar; Chih-Yang Lin; Kahlil Muchtar; Tung-Ying Wu; Hui-Fuang Ng (AVSS, 2019)

Sequential Dual Attention Network for Rain Streak Removal in a Single Image. - Chih-Yang Lin; Zhuang Tao; Ai-Sheng Xu; Li-Wei Kang; Fityanul Akhyar (IEEE Trans. Image Process., 2020)

Detectors++: The Robust Baseline for a Defect Detection System. - Fityanul Akhyar; Chih-Yang Lin; Gugan S. Kathiresan; Bharath Surianarayanan; Chao-Yung Hsu (ICCE-TW, 2021)

Evaluation of Data Augmentation on Surface Defect Detection. - Isack Farady; Chih-Yang Lin; Fityanul Akhyar; R. Roshini; John Sahaya Rani Alex (ICCE-TW, 2021)

A Beneficial Dual Transformation Approach for Deep Learning Networks Used in Steel Surface Defect Detection. - Fityanul Akhyar; Chih-Yang Lin; Gugan S. Kathiresan (ICMR, 2021)

Reinforced Cascading Convolutional Neural Networks and Vision Transformer for Lung Disease Diagnosis. - Fityanul Akhyar; Ledya Novamizanti; Raihan Arfi Maulana; Chi-Wen Lung; Chih-Yang Lin (ICCE-TW, 2022)

Lightning YOLOv4 for a Surface Defect Detection System for Sawn Lumber. - Fityanul Akhyar; Ledya Novamizanti; Trianusa Putra; Elvin Nur Furqon; Ming-Ching Chang; Chih-Yang Lin (MIPR, 2022)

Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD). - Fityanul Akhyar; Elvin Nur Furqon; Chih-Yang Lin (Sensors, 2022)

A Comparative Analysis of the Yolo Models for Intelligent Lobster Surveillance Camera. - Fityanul Akhyar; Ledya Novamizanti; Koredianto Usman; Ghanes Mahesa Aditya; Farhan Nur Hakim; Mukhamad Zidni Ilman; Ferdi Ramdhon; Chih-Yang Lin (APSIPA ASC, 2023)

Evaluation of a High-Accuracy Indoor-Positioning System with Wi-Fi Time of Flight (ToF) and Deep Learning. - Doan Perdana; I Made Arya Indra Tanaya; Abdul Aziz Marwan; Fityanul Akhyar (J. Comput. Networks Commun., 2023)