Publications

Enhancing Multi-Floor Indoor Localization Accuracy Using Fingerprint-Based Dynamic k-NN Approach

Published in 2025 IEEE International Conference on Electro/Information Technology (EIT), 2025

This paper introduces an enhanced multi-floor indoor localization method leveraging RSS fingerprinting, an amplified voting scheme for floor classification, and dynamic neighbor selection to improve accuracy in dense and sparse datasets.

Recommended citation: Benyamain Yacoob, Daniel Marku, and Mina Maleki. 2025. "Enhancing Multi-Floor Indoor Localization Accuracy Using Fingerprint-Based Dynamic k-NN Approach." In Proceedings of the 2025 IEEE International Conference on Electro/Information Technology (EIT). IEEE, USA.
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Enhancing Indoor Localization Estimation Using RSS Similarity-Based k-Nearest Neighbors

Published in 2024 6^th Asia Conference on Machine Learning and Computing (ACMLC), 2024

The rapid growth of indoor positioning is …

Recommended citation: Benyamain Yacoob, Daniel Marku, Mina Maleki, and Shadi Banitaan. 2025. "Enhancing Indoor Localization Estimation Using RSS Similarity-Based k-Nearest Neighbors." In Proceedings of the 2024 6^th Asia Conference on Machine Learning and Computing (ACMLC 24). Association for Computing Machinery, New York, NY, USA, 74–79. https://doi.org/10.1145/3690771.3690792
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Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO₂ Levels in California

Published in 24^th Annual IEEE International Conference on Electro Information Technology (EIT), 2024

Anthropogenic activities release …

Recommended citation: B. Yacoob, E. Scheys, E. Oladipo, A. Price and S. Banitaan. "Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO₂ Levels in California." 2024 IEEE International Conference on Electro Information Technology (EIT), Eau Claire, WI, USA, 2024, pp. 410-417, doi: 10.1109/eIT60633.2024.10609851.
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Benyamin

Publications

Enhancing Multi-Floor Indoor Localization Accuracy Using Fingerprint-Based Dynamic k-NN Approach

Enhancing Indoor Localization Estimation Using RSS Similarity-Based k-Nearest Neighbors

Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California

Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO₂ Levels in California