| Name | PROF. MADYA Ir. Dr. AUDREY HUONG KAH CHING | Faculty/Centre |
FAKULTI KEJURUTERAAN ELEKTRIK DAN ELEKTRONIK |
|---|---|---|---|
| Position | DS54 - PROFESOR MADYA | Email Address | audrey@uthm.edu.my |
| # | Name | Chapter Name | Type | Role |
|---|---|---|---|---|
| 1. | BLOOD CO STATUS CLASSIFICATION USING UV-VIS SPECTROSCOPY AND PSO-OPTIMIZED 1D-CNN MODEL | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 2. | DEEP LEARNING AND PHOTOACOUSTIC TECHNOLOGY FOR MICROCIRCULATION CLASSIFICATION: COMPARISON BETWEEN SMOKING AND NONSMOKING GROUPS | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 3. | MI-OPTNET: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MYOCARDIAL INFARCTION DETECTION | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 4. | PSO-OPTIMIZED U-NET FOR AUTOMATIC RETINAL OPTIC DISK SEGMENTATION | Persidangan / Seminar | Penulis Utama - Corresponding Author | |
| 5. | AN OPTIMIZED SEMANTIC SEGMENTATION FRAMEWORK FOR HUMAN SKIN DETECTION | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 6. | DEEP LEARNING BASED MICROCIRCULATION PERFORMANCE CLASSIFICATION USING MULTISPECTRAL PHOTOACOUSTIC TECHNOLOGY | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 7. | COMPARISON OF PSO-BASED U-NET AND SEGNET FOR AUTOMATIC FUNDUS IMAGE SEGMENTATION | Artikel Jurnal | Penulis Pertama UTHM - First Author |