M
Mznah Al-Rodhaan
Researcher at King Saud University
Publications - 92
Citations - 2428
Mznah Al-Rodhaan is an academic researcher from King Saud University. The author has contributed to research in topics: Wireless sensor network & Network packet. The author has an hindex of 22, co-authored 92 publications receiving 2095 citations. Previous affiliations of Mznah Al-Rodhaan include University of Glasgow.
Papers
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Social Network and Tag Sources Based Augmenting Collaborative Recommender System
Tinghuai Ma,Jinjuan Zhou,Meili Tang,Yuan Tian,Abdullah Al-Dhelaan,Mznah Al-Rodhaan,Sungyoung Lee +6 more
TL;DR: This paper revise the user-based collaborative filtering (CF) technique, and proposes two recommendation approaches fusing usergenerated tags and social relations in a novel way that achieve more precise recommendations than the compared approaches.
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BorderSense: Border patrol through advanced wireless sensor networks
TL;DR: The framework to deploy and operate BorderSense, a hybrid wireless sensor network architecture for border patrol systems, is developed and the most advanced sensor network technologies, including the wireless multimedia sensor networks and the wireless underground sensor networks are used.
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MISE-PIPE: Magnetic induction-based wireless sensor networks for underground pipeline monitoring
TL;DR: A new solution, the magnetic induction (MI)-based wireless sensor network for underground pipeline monitoring (MISE-PIPE), is introduced to provide low-cost and real-time leakage detection and localization for underground pipelines.
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An efficient and scalable density-based clustering algorithm for datasets with complex structures
TL;DR: The traditional locality sensitive hashing method is improved to implement fast query of nearest neighbors and several definitions are redefined on the basis of the influence space of each object, which takes the nearest neighbor and the reverse nearest neighbors into account.
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Content-based image retrieval using PSO and k-means clustering algorithm
Zeyad Safaa Younus,Zeyad Safaa Younus,Dzulkifli Mohamad,Tanzila Saba,Mohammed Hazim Alkawaz,Mohammed Hazim Alkawaz,Amjad Rehman,Mznah Al-Rodhaan,Abdullah Al-Dhelaan +8 more
TL;DR: A new hybrid method has been proposed for image clustering based on combining the particle swarm optimization (PSO) with k-means clustering algorithms that uses the color and texture images as visual features to represent the images.