Norlida Hassan

Eczema Detection in Dermatological Imaging: From Traditional Methods to Deep Learning and Mobile Deployment

Sabireen Hassan Ibrahim Ahmed, Rusma Anieza Ruslan, Norlida Hassan, Noor Aida Husaini

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Image-Based Disease Detection in Agriculture: Advances, Challenges, and Applications in Oil Palm Management

Muhammad Hazim Annuar, Rusma Anieza Ruslan, Norlida Hassan, Noor Aida Husaini

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A Risk-Based Approach for Karst Geohazard Prediction in Central Luconia using the DBSCAN Algorithm

Norlida Hassan, Siti Nur Fathiyah Jamaludin, Nurul Fatin Izzatie Salman, Abdul Halim Abdul Latiff et autres

Summary This study presents a risk-based approach for karst geohazard prediction in Central Luconia, focusing on carbonate reservoirs in Cycle IV-V limestone. Karst formations pose significant challenges in subsurface exploration due to their complex geometry and impact on reservoir properties. To address …

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Robust Heart Disease Prognosis: Integrating Extended Isolation Forest Outlier Detection with Advanced Prediction Models

Irfan Javid, Norlida Hassan, Rozaida Ghazali, Yana Mazwin Mohmad Hassim et autres

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RETRACTED: Data pre-processing for cardiovascular disease classification: A systematic literature review

Irfan Javid, Rozaida Ghazali, Muhammad Zulqarnain, Norlida Hassan

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

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Classification of SQL injection attack using K-Means clustering algorithm

Siti Hajar Nadhirah Harip, Isredza Rahmi A. Hamid, Norhanifah Murli, Norlida Hassan

Structured Query Language (SQL) injection has been the most vulnerable and dangerous attack. This attack can make the attacker retrieve any data from the web application. SQL Injection is classified under code injection attack and is easy to launch due to lack …

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Comparative analysis of classification techniques for leaves and land cover texture

Azri Azrul Azmer, Norlida Hassan, Shihab Hamad Khaleefah, Salama A. Mostafa et autres

The texture is the object’s appearance with different surfaces and sizes. It is mainly helpful for different applications, including object recognition, fingerprinting, and surface analysis. The goal of this research is to investigate the best classification models among the Naive Bayes (NB), …

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Firefly Algorithm for Functional Link Neural Network Learning

Yana Mazwin Mohmad Hassim, Rozaida Ghazali, Norlida Hassan, Nureize Arbaiy et autres

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Comparative Performance of Supervised Learning Algorithms for Flood Prediction in Kemaman, Terengganu

Nur Najihah Shaaban, Norlida Hassan, Aida Mustapha, Salama A. Mostafa

Flood is one of the most destructive phenomena all over the world. Because the flooding uncertainties and the urgency to prepare for disaster management, three specific technique approaches are compared in this study to predict the flood occurrence based on historical rainfall …

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Sistem Pemantauan Literasi Pelajar Tahap 1

Norlida Hassan, Hanisah Husna Abdul Rahim

Abstract: Sistem Pemantauan Litersi Pelajar Tahap 1 is a web-based system that works to help teachers monitor level 1 students’ literacy. Currently, the process of monitoring student literacy is done manually and many parents are unaware that this process of monitoring is …

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Modified Adaptive Neuro-Fuzzy Inference System Trained by Scoutless Artificial Bee Colony

Mohd Najib Mohd Salleh, Norlida Hassan, Kashif Hussain, Noureen Talpur et autres

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Exploratory Study of Kohonen Network for Human Health State Classification

Hamijah Mohd Rahman, Nureize Arbaiy, Muhammad Shukeri Che Lah, Norlida Hassan

Kohonen Network is an unsupervised learning which forms clusters from patterns that share common features and group similar patterns together. This network are commonly uses grids of artificial neurons which connected to all the inputs. This paper presents an exploratory study of …

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