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Ahmad Alnafessah

Researcher at Imperial College London

Publications -  15
Citations -  981

Ahmad Alnafessah is an academic researcher from Imperial College London. The author has contributed to research in topics: Anomaly detection & Spark (mathematics). The author has an hindex of 4, co-authored 15 publications receiving 673 citations. Previous affiliations of Ahmad Alnafessah include King Abdulaziz City for Science and Technology.

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Journal ArticleDOI

Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances.

TL;DR: A survey of the state-of-the-art technologies in indoor positioning, followed by a detailed comparative analysis of UWB positioning technologies and an analysis of strengths, weaknesses, opportunities, and threats (SWOT) to analyze the present state of UWBs positioning technologies are provided.
Proceedings ArticleDOI

Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms

TL;DR: This survey surveys the related work in the field of indoor positioning by providing a comparative analysis of the state-of-the-art technologies, techniques, and algorithms to spur further exploration by the research community of this challenging problem space.
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Artificial neural networks based techniques for anomaly detection in Apache Spark

TL;DR: The results prove that the proposed method outperforms other methods, typically achieving 98–99% F-scores, and offering much greater accuracy than alternative techniques to detect both the period in which anomalies occurred and their type.
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Quality-Aware DevOps Research: Where Do We Stand?

TL;DR: In this article, a comprehensive survey of existing efforts in this area, categorizing them according to the stage of the DevOps lifecycle to which they primarily contribute, including architectural design, modeling and infrastructure-as-code, continuous integration/continuous delivery (CI/CD), testing and verification, and runtime management.
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Developing an Ultra Wideband Indoor Navigation System for Visually Impaired People

TL;DR: The system provides users with guidance statements that help them navigate from their current positions to desired destinations and proved its ability to aid blind individuals effectively.