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ORCIDSalem S. Gharbia
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2020 – today
- 2024
[j4]Naga Venkata Sudha Rani Nalakurthi, Ismaila Abimbola
, Tasneem Ahmed, Iulia Anton, Khurram Riaz, Qusai Ibrahim, Arghadyuti Banerjee, Ananya Tiwari, Salem S. Gharbia:
Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors. Sensors 24(11): 3650 (2024)- 2023
- [j3]Jacek Baranczuk, Martina Zelenáková, Hany F. Abd-Elhamid, Katarzyna Baranczuk, Salem S. Gharbia, Peter Blistan, Cécil J. W. Meulenberg, Peter Kumer, Wlodzimierz Golus, Maciej Markowski:
Prediction of Actual from Climatic Precipitation with Data Collected from Northern Poland: A Statistical Approach. Sensors 23(3): 1159 (2023) - [j2]Tasneem Ahmed, Leo Creedon, Salem S. Gharbia:
Low-Cost Sensors for Monitoring Coastal Climate Hazards: A Systematic Review and Meta-Analysis. Sensors 23(3): 1717 (2023) - [j1]Khurram Riaz, Marion McAfee, Salem S. Gharbia:
Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems. Sensors 23(5): 2659 (2023) - [c2]Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia:
Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency. AICS 2023: 1-4 - [c1]Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia:
Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine. AICS 2023: 1-6
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