Nadzurah Zainal Abidin
YOU?
Author Swipe
View article: Deep learning generative adversarial network model for automated detection of diabetic retinopathy
Deep learning generative adversarial network model for automated detection of diabetic retinopathy Open
Diabetic retinopathy (DR) is a leading disease that cause impaired vision with a consequence of permanent blindness if it is undiagnosed and untreated at the early stages. Alas, DR often has no early warning sign and may cause no symptoms.…
View article: Systematic Review on Missing Data Imputation Techniques with Machine Learning Algorithms for Healthcare
Systematic Review on Missing Data Imputation Techniques with Machine Learning Algorithms for Healthcare Open
Missing data is one of the most common issues encountered in data cleaning process especially when dealing with medical dataset. A real collected dataset is prone to be incomplete, inconsistent, noisy and redundant due to potential reasons…
View article: An improved K-Nearest neighbour with grasshopper optimization algorithm for imputation of missing data
An improved K-Nearest neighbour with grasshopper optimization algorithm for imputation of missing data Open
K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute missing data with plausible values. One of the successes of KNN imputation is the ability to measure the missing data simulated from its nearest neig…
View article: A particle swarm optimization levy flight algorithm for imputation of missing creatinine dataset
A particle swarm optimization levy flight algorithm for imputation of missing creatinine dataset Open
Clinicians could intervene during what may be a crucial stage for preventing permanent kidney injury if patients with incipient Acute Kidney Injury (AKI) and those at high risk of developing AKI could be identified. This paper proposes an …
View article: Optimized COCOMO parameters using hybrid particle swarm optimization
Optimized COCOMO parameters using hybrid particle swarm optimization Open
Software effort and cost estimation are crucial parts of software project development. It determines the budget, time, and resources needed to develop a software project. The success of a software project development depends mainly on the …
View article: Software Project Estimation with Machine Learning
Software Project Estimation with Machine Learning Open
This project involves research about software effort estimation using machine learning algorithms. Software cost and effort estimation are crucial parts of software project development. It determines the budget, time and resources needed t…
View article: Validation of Corrupted Medical Image Labelling using Deep Neural Network
Validation of Corrupted Medical Image Labelling using Deep Neural Network Open
Introduction: Deep Neural Networks (DNN) has been successfully applied in a variety of medical image analysis. However, in building a good DNN model, it requires validated label from medical experts. The task of getting labels validated by…
View article: Deep convolution neural network for crack detection on asphalt pavement
Deep convolution neural network for crack detection on asphalt pavement Open
Asphalt cracks are one of the major road damage problems in civil field as it may potentially threaten the road and highway safety. Crack detection and classification is a challenging task because complicated pavement conditions due to the…
View article: Collaborative requirements review
Collaborative requirements review Open
Requirements review is a formal review conducted to ensure that system requirements have been completely and clearly identified. In the conventional requirements review technique, reviewers are required to physically attend the review sess…
View article: Performance Analysis of Machine Learning Algorithms for Missing Value Imputation
Performance Analysis of Machine Learning Algorithms for Missing Value Imputation Open
Data mining requires a pre-processing task in which the data are prepared, cleaned, integrated, transformed, reduced and discretized for ensuring the quality. Missing values is a universal problem in many research domains that is commonly …