Edge-computing video analytics solution for automated plastic-bag contamination detection: A case from remondis

U Iqbal, J Barthelemy, P Perez, T Davies - Sensors, 2022 - mdpi.com
The increased global waste generation rates over the last few decades have made the
waste management task a significant problem. One of the potential approaches adopted …

Blockage at cross-drainage hydraulic structures–Advances, challenges and opportunities

U Iqbal, MZB Riaz - Heliyon, 2024 - cell.com
Blockage of cross-drainage hydraulic structures is a significant concern in water resources
and civil engineering projects, particularly in urban areas experiencing increased debris …

Floodborne objects type recognition using computer vision to mitigate blockage originated floods

U Iqbal, MZB Riaz, J Barthelemy, N Hutchison, P Perez - Water, 2022 - mdpi.com
The presence of floodborne objects (ie, vegetation, urban objects) during floods is
considered a very critical factor because of their non-linear complex hydrodynamics and …

Temporal evolution of the hydrodynamic loading due to dynamic debris jam on bridge pier

W Zhang, I Nistor, CD Rennie - Journal of Fluids and Structures, 2023 - Elsevier
Woody debris enter rivers during flood events, and the debris is captured and accumulates
in the form of a debris jam in front of/around the pier. A woody debris jam can significantly …

Neural network‐based models versus empirical models for the prediction of axial load‐carrying capacities of FRP‐reinforced circular concrete columns

S Ali, J Ahmad, U Iqbal, S Khan… - Structural Concrete, 2024 - Wiley Online Library
This study presents new neural‐network (NN)‐based models to predict the axial load‐
carrying capacities of fiber‐reinforced polymer (FRP) bar reinforced‐concrete (RC) circular …

Estimating the routing parameter of the Xin'anjiang hydrological model based on remote sensing data and machine learning

Y Fang, Y Huang, B Qu, X Zhang, T Zhang, D Xia - Remote Sensing, 2022 - mdpi.com
The parameters of hydrological models should be determined before applying those models
to estimate or predict hydrological processes. The Xin'anjiang (XAJ) hydrological model is …

SedimentNet—A 1D-CNN machine learning model for prediction of hydrodynamic forces in rapidly varied flows

MZB Riaz, U Iqbal, SQ Yang, M Sivakumar… - Neural Computing and …, 2023 - Springer
In natural free surface flows, sediment particles in the surface layer of a sediment bed are
moved and entrained by the fluctuating hydrodynamic forces, such as lift and drag, exerted …

Backwater rise upstream of a stream-crossing culvert due to large wood accumulation and sediment deposition

Q Li, R Nie, L Wang, R Bai, X Liu, C Liu - Journal of Hydrology, 2025 - Elsevier
Stream-crossing culverts (SCCs) are widely used transportation facilities in mountain
streams. The sediment or large wood (LW) transported by the flow may block the SCC …

CCTV image‐based classification of blocked trash screens

RC Smith, AP Barnes, J Wang, S Dooley… - Journal of Flood Risk …, 2025 - Wiley Online Library
This study introduces image‐based classification techniques to identify whether trash
screens in urban rivers are blocked. The study obtained 755 images from a CCTV camera …

Artificial Intelligence of Things (AIoT)-oriented framework for blockage assessment at cross-drainage hydraulic structures

U Iqbal, MZ Bin Riaz, J Barthelemy… - Australasian Journal of …, 2023 - Taylor & Francis
Blockage of cross-drainage hydraulic structures is a key factor to be recursively assessed
within flood management domain because of its involvement in originating flash floods …