default author photo

Iza Sazanita Isa

Universiti Teknologi MARA (UiTM)

SCHOLARLY PAPERS

4

DOWNLOADS

208

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

NTS-CAM Classification Model with Channel Attention Mechanism for Grading In-Vitro Fertilization (IVF) Blastocyst Quality

Number of pages: 30 Posted: 13 Feb 2024
Universiti Teknologi MARA (UiTM), Universiti Sains Malaysia (USM), Universiti Sains Malaysia (USM), Vistana Fertility Centre and Vistana Fertility Centre
Downloads 80 (816,709)

Abstract:

Loading...

IVF, Blastocyst grading, Deep learning, Classification model, NTS-net, Attention channel mechanism.

2.

Fmdys: Fusion Image and Histogram Offline Handwriting Feature Vector for Multiclass Classification of Dysgraphia Severity

Number of pages: 33 Posted: 19 Aug 2024
Universiti Teknologi MARA, Malaysia, Universiti Teknologi MARA (UiTM), affiliation not provided to SSRN, Universiti Teknologi MARA (UiTM) and Universiti Teknologi MARA (UiTM)
Downloads 58 (1,000,027)

Abstract:

Loading...

Dysgraphia, Dyslexia, Handwriting Image, machine learning, Convolutional Neural Network

3.

A Dataset of Aerial Thermographic Images of Solar Photovoltaic (Pv) Array for Hotspot Detection

Number of pages: 9 Posted: 23 Dec 2023
affiliation not provided to SSRN, Universiti Teknologi MARA (UiTM), affiliation not provided to SSRN, Universiti Teknologi MARA (UiTM), affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 35 (1,290,922)

Abstract:

Loading...

Data Acquisition, Thermographic Image, Hotspot, PV Module, Aerial Imagery.

4.

Improved Lung Lesion Localization in Ct Scan Images: A Statistical Approach for Enhanced Detection

Number of pages: 17 Posted: 24 Oct 2023
Universiti Teknologi MARA (UiTM), Universiti Teknologi MARA (UiTM) - College of Engineering, Universiti Teknologi MARA (UiTM), Universiti Teknologi MARA (UiTM), Universiti Teknologi MARA (UiTM), Universiti Teknologi MARA (UiTM) and Universiti Teknologi MARA (UiTM)
Downloads 35 (1,290,922)

Abstract:

Loading...

Lung Cancer, feature extraction, Lesion Localization, Diagnosis, statistical approach