1 citations · 1 across the 2 of their papers we have counts for
5 papers
Regression on Deep Visual Features using Artificial Neural Networks (ANNs) to Predict Hydraulic Blockage at Culverts
Umair Iqbal, Johan Barthelemy, Wanqing Li +1
Cross drainage hydraulic structures (i.e., culverts, bridges) in urban landscapes are prone to getting blocked by transported debris which often results in causing the flash floods…
Automating Visual Blockage Classification of Culverts with Deep Learning
Umair Iqbal, Johan Barthelemy, Wanqing Li +1
Blockage of culverts by transported debris materials is reported as main contributor in originating urban flash floods. Conventional modelling approaches had no success in addressi…
Prediction of Hydraulic Blockage at Cross Drainage Structures using Regression Analysis
Umair Iqbal, Johan Barthelemy, Pascal Perez +1
Hydraulic blockage of cross-drainage structures such as culverts is considered one of main contributor in triggering urban flash floods. However, due to lack of during floods data…
Hard 3-CNF-SAT problems are in -- A first step in proving
Marcel Rémon, Johan Barthélemy
The relationship between the complexity classes and is an unsolved question in the field of theoretical computer science. In the first part of this paper, a lattice framew…
Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables
Johan Barthélemy, Morgane Dumont, Timoteo Carletti
Classification, the process of assigning a label (or class) to an observation given its features, is a common task in many applications. Nonetheless in most real-life applications,…