Showing results (1-10 of 25) with videos related to
Sort By:
Pageof 3
Water Research|July 27, 2025
Multi-step time-to-failure predictions in water pipelines using feature engineering and cascading ensemblesBeenish Bakhtawar, Tarek Zayed, Husnain ArshadThe Science of the Total Environment|October 24, 2021
Data-driven application of MEMS-based accelerometers for leak detection in water distribution networksSalman Tariq, Beenish Bakhtawar, Tarek ZayedSensors (Basel, Switzerland)|August 10, 2024
A Multi-Sensing IoT System for MiC Module Monitoring during Logistics and Operation PhasesHusnain Arshad, Tarek ZayedJournal of Environmental Management|March 7, 2025
Explainable deep learning models for predicting water pipe failuresRidwan Taiwo, Tarek Zayed, Beenish Bakhtawar, et al.Journal of Environmental Management|September 9, 2023
A multi-tier deterioration assessment models for sewer and stormwater pipelines in Hong KongSherif Abdelkhalek, Tarek ZayedJournal of Cleaner Production|October 26, 2020
Critical factors for successful implementation of just-in-time concept in modular integrated construction: A systematic review and meta-analysisMohamed Hussein, Tarek ZayedEnvironmental Research|July 3, 2021
Impact of sewer overflow on public health: A comprehensive scientometric analysis and systematic reviewAdebayo Olatunbosun Sojobi, Tarek ZayedWater Research|October 7, 2021
Failure modeling of water distribution pipelines using meta-learning algorithmsZainab Almheiri, Mohamed Meguid, Tarek ZayedWater Research|March 14, 2024
Advanced acoustic leak detection in water distribution networks using integrated generative modelRongsheng Liu, Tarek Zayed, Rui XiaoWater Research|October 16, 2024
Acoustic leak localization for water distribution network through time-delay-based deep learning approachRongsheng Liu, Tarek Zayed, Rui XiaoPageof 3