Indoor navigation app of healthcare facilities using machine learning algorithms

The rapid population growth in Jordan due to migration trends has placed significant pressure on the country’s healthcare infrastructure, further strained by the emergence of new diseases. To address the challenge of indoor navigation within hospitals, this research leverages Location-Based Services...

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Veröffentlicht in:	Applied geomatics Jg. 17; H. 4; S. 771 - 789
Hauptverfasser:	Alsaaideh, Maysa, Al-Bayari, Omar, Alsaaidah, Bayan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial intelligence Comparative analysis Deep learning Earth and Environmental Science Efficiency Geographical Information Systems/Cartography Geography Geophysics/Geodesy Global positioning systems GPS Health care Health facilities Hospitals Indoor navigation Infrastructure Layouts Literature reviews Localization Location based services Machine learning Mapping Measurement Science and Instrumentation Navigation systems Obstacle avoidance Optimization Planning Population growth Real time Remote Sensing/Photogrammetry Sensors Smart cities Smartphones Surveying User experience Healthcare facilities navigation app DQN OpenAI gym Indoor navigation Location-based services Dueling DQN Deep reinforcement learning DQL
ISSN:	1866-9298, 1866-928X
Online-Zugang:	Volltext
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