A
PROFILE
UPM's Staff Profile
DR. NORIDAYU BINTI MANSHOR
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
ayu@upm.edu.my
ayu
BM
EN

PROFESSIONAL

NAME :
(Dr.) NORIDAYU BINTI MANSHOR
POST :
ENTITY :
Faculty of Computer Science and Information Technology

FIELD OF SUPERVISION
COMPUTER VISION / DATA SCIENCE / INTELLIGENT SYSTEMS


PUBLICATION
2025
An Efficient Lung Disease Classification from X-ray Image Using Graph Neural Network and Transformer
2025
Improving YoloPX using YoloP and Yolov8 for Panoptic Driving Perception
2024
HDN-Net: A Hybrid Deep Neural Network to Improve Iris Recognition in Unconstrained Environments with Eyeglasses
2023
CLASS IMBALANCE LEARNING WITH COSTSENSITIVEACGAN
2023
MS-Net: Multi-Segmentation Network for the Iris Region Using Deep Learning in an Unconstrained Environment
2021
Extremal Region Selection for MSER Detection in Food Recognition
2021
Iris Recognition Development Techniques: A Comprehensive Review
2021
Fuzzy encoding with hybrid pooling for visual dictionary in food recognition
2020
A Review of Handcrafted Computer Vision and Deep Learning approaches for Food Recognition
2020
REVIEW OF CHINESE CALLIGRAPHY FONT RECOGNITION METHODS
2019
Improving invisible food texture detection by using adaptive extremal region detector in food recognition
2019
FUZZY ENCODING WITH HYBRID POOLING TO IMPROVE VISUAL DICTIONARY CONSTRUCTION IN FOOD RECOGNITION
2019
Extremal Region Selection for MSER Detection in Food Recognition
2018
A Fuzzy Feature Encoding Approach for Food Category Recognition
2018
Recognition of Food with Monotonous Appearance using Speeded-Up Robust Feature (SURF)
2018
Object Detection Framework for Multiclass Food Object Localization and Classification
2017
Analysis of SURF and SIFT Representations to Recognize Food Objects
2016
Object Detection Framework for Multiclass Food Object Localization and Classification
2013
Fusion of Global Shape and Local Features Using Meta-Classifier Framework
2012
Feature Fusion in Improving Object Class Recognition