Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency. - Asif Yar; Shagufta Henna; Marion McAfee; Salem S. Gharbia (AICS, 2023)

Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine. - Asif Yar; Shagufta Henna; Marion McAfee; Salem S. Gharbia (AICS, 2023)

Low-Cost Sensors for Monitoring Coastal Climate Hazards: A Systematic Review and Meta-Analysis. - Tasneem Ahmed; Leo Creedon; Salem S. Gharbia (Sensors, 2023)

Prediction of Actual from Climatic Precipitation with Data Collected from Northern Poland: A Statistical Approach. - 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 (Sensors, 2023)

Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems. - Khurram Riaz; Marion McAfee; Salem S. Gharbia (Sensors, 2023)

Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors. - Naga Venkata Sudha Rani Nalakurthi; Ismaila Abimbola; Tasneem Ahmed; Iulia Anton; Khurram Riaz; Qusai Ibrahim; Arghadyuti Banerjee; Ananya Tiwari; Salem S. Gharbia (Sensors, 2024)