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Abdullah Alamri

Researcher at Information Technology University

Publications -  21
Citations -  1116

Abdullah Alamri is an academic researcher from Information Technology University. The author has contributed to research in topics: Semantic computing & Semantic analytics. The author has an hindex of 7, co-authored 21 publications receiving 889 citations. Previous affiliations of Abdullah Alamri include RMIT University.

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A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis

TL;DR: Concepts and algorithms related to clustering, a concise survey of existing (clustering) algorithms as well as a comparison, both from a theoretical and an empirical perspective are introduced.
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An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems

TL;DR: An innovative intrusion detection approach to detect SCADA tailored attacks is presented based on a data-driven clustering technique of process parameters, which automatically identifies the normal and critical states of a given system and extracts proximity-based detection rules from the identified states for monitoring purposes.
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Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources

TL;DR: Simulation results demonstrate a significant reduction in the energy cost along with the achievement of both grid stability in terms of reduced peak and high comfort and a multi-objective optimization problem has been formulated.
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A Multi-Layer Dual Attention Deep Learning Model With Refined Word Embeddings for Aspect-Based Sentiment Analysis

TL;DR: A deep learning-based multilayer dual-attention model is proposed to exploit the indirect relation between the aspect and opinion terms and word embeddings are refined by providing distinct vector representations to dissimilar sentiments, unlike the Word2Vec model.
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Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems

TL;DR: This research proposes a semantic middleware that exploits ontology to support the semantic integration and functional collaborations between IoT healthcare Information Systems and EHR systems.