Výsledky vyhledávání - "Maifuza Mohd Amin"

Akademický článek

Clustering analysis for classifying fake real estate listings

Autor: Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin, Salwani Abdullah, Amit Chhabra, Faizal Abd Kadir

Publikováno v: PeerJ Computer Science, Vol 10, p e2019 (2024)

With the rapid growth of online property rental and sale platforms, the prevalence of fake real estate listings has become a significant concern. These deceptive listings waste time and effort for buyers and sellers and pose potential risks. Therefor

Externí odkaz: https://doaj.org/article/316fe62d958448fda2f034b26eae7b0d

Zobrazit plný text záznamu

Akademický článek

Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach

Autor: Milos Dobrojevic, Miodrag Zivkovic, Amit Chhabra, Nor Samsiah Sani, Nebojsa Bacanin, Maifuza Mohd Amin

Publikováno v: PeerJ Computer Science, Vol 9, p e1405 (2023)

An ever increasing number of electronic devices integrated into the Internet of Things (IoT) generates vast amounts of data, which gets transported via network and stored for further analysis. However, besides the undisputed advantages of this techno

Externí odkaz: https://doaj.org/article/4eebfc1cad954e0788468358c3808772

Zobrazit plný text záznamu

Akademický článek

A Hybrid Cracked Tiers Detection System Based on Adaptive Correlation Features Selection and Deep Belief Neural Networks

Autor: Ali Mohsin Al-juboori, Ali Hakem Alsaeedi, Riyadh Rahef Nuiaa, Zaid Abdi Alkareem Alyasseri, Nor Samsiah Sani, Suha Mohammed Hadi, Husam Jasim Mohammed, Bashaer Abbuod Musawi, Maifuza Mohd Amin

Publikováno v: Symmetry, Vol 15, Iss 2, p 358 (2023)

Tire defects are crucial for safe driving. Specialized experts or expensive tools such as stereo depth cameras and depth gages are usually used to investigate these defects. In image processing, feature extraction, reduction, and classification are p

Externí odkaz: https://doaj.org/article/13289fcf054e49deb604b03f1e4e365f

Zobrazit plný text záznamu

Plný text ve formátu HTML

Hybrid Machine Learning Model Tuned by Enhanced Sine Cosine Metaheuristics and Model Interpretation based on SHAP Approach

Autor: Milos Dobrojevic, Zivkovic, Miodrag, Chhabra, Amit, Nor Samsiah Sani, Nebojsa Bacanin, Maifuza Mohd Amin

Data used for experiment in the PeerJ Computer Science article. Final datasets for IoT security (binary and multiclass) used in experiments. Implementation of hybrid CNN-ELM model. Code snippets from framework for ELM tuning by enhanced sine cosine m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::418adeaf00a68e659adf2dc024a4f896

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání