User profiles for Rohayanti Hassan
Rohayanti HassanUniversiti Teknologi Malaysia Verified email at utm.my Cited by 1119 |
[PDF][PDF] A systematic literature review of machine learning methods in predicting court decisions
Envisaging legal cases’ outcomes can assist the judicial decision-making process. Prediction
is possible in various cases, such as predicting the outcome of construction litigation, crime…
is possible in various cases, such as predicting the outcome of construction litigation, crime…
Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images
The iris and face are among the most promising biometric traits that can accurately identify a
person because their unique textures can be swiftly extracted during the recognition process…
person because their unique textures can be swiftly extracted during the recognition process…
Smart mirror for smart life
Internet of Things (IoT) is a concept where an object having the ability to transfer data over a
network without the need for human interaction to human or human to computer. IoT is …
network without the need for human interaction to human or human to computer. IoT is …
Selection and classification of gene expression in autism disorder: Use of a combination of statistical filters and a GBPSO-SVM algorithm
In this work, gene expression in autism spectrum disorder (ASD) is analyzed with the goal of
selecting the most attributed genes and performing classification. The objective was …
selecting the most attributed genes and performing classification. The objective was …
A low lighting or contrast ratio visible iris recognition using iso-contrast limited adaptive histogram equalization
Condition of eye images with a low lighting or low contrast ratio between the iris and pupil is
one of the challenges for iris recognition in a non-cooperative environment and under …
one of the challenges for iris recognition in a non-cooperative environment and under …
Graph-based extractive text summarization method for Hausa text
Automatic text summarization is one of the most promising solutions to the ever-growing
challenges of textual data as it produces a shorter version of the original document with fewer …
challenges of textual data as it produces a shorter version of the original document with fewer …
Biomathematics and its Applications in Modeling COVID-19 Infections
R Hassan, RA Hasan - Babylonian Journal of …, 2023 - journals.mesopotamian.press
The emerging field of biomathematics utilizes mathematical techniques to gain quantitative
insights into biological systems. Mathematical modeling and computational simulations are …
insights into biological systems. Mathematical modeling and computational simulations are …
Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transform
Iris recognition is a promising method by which to accurately identify a person. During the
iris recognition stage, the features of the iris are extracted, including the unique, individual …
iris recognition stage, the features of the iris are extracted, including the unique, individual …
Breast Cancer Prediction Using Support Vector Machine Ensemble with PCA Feature Selection Method
NH Parman, R Hassan, NH Zakaria - International Journal of Innovative …, 2024 - ijic.utm.my
Breast cancer is the most prevalent cancer among women worldwide and ranks second in
cancer-related mortality, comprising 11.6 percent of all cancer cases. Given that survival …
cancer-related mortality, comprising 11.6 percent of all cancer cases. Given that survival …
An entropy-based directed random walk for cancer classification using gene expression data based on bi-random walk on two separated networks
The integration of microarray technologies and machine learning methods has become
popular in predicting the pathological condition of diseases and discovering risk genes. …
popular in predicting the pathological condition of diseases and discovering risk genes. …