39 citations · 62 across the 9 of their papers we have counts for
9 papers
Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Snow Layers in Radar Echograms
Debvrat Varshney, Masoud Yari, Oluwanisola Ibikunle +4
Airborne radar sensors capture the profile of snow layers present on top of an ice sheet. Accurate tracking of these layers is essential to calculate their thicknesses, which are r…
Physics Informed Recurrent Neural Networks for Seismic Response Evaluation of Nonlinear Systems
Faisal Nissar Malik, James Ricles, Masoud Yari +1
Dynamic response evaluation in structural engineering is the process of determining the response of a structure, such as member forces, node displacements, etc when subjected to dy…
Regression Networks For Calculating Englacial Layer Thickness
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari +1
Ice thickness estimation is an important aspect of ice sheet studies. In this work, we use convolutional neural networks with multiple output nodes to regress and learn the thickne…
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar +3
Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL…
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari +1
Global warming is rapidly reducing glaciers and ice sheets across the world. Real time assessment of this reduction is required so as to monitor its global climatic impact. In this…
Phase Transition And Hexagonal Patterns In Rich Stimulant Diffusion-Chemotaxis Model
Masoud Yari
An important component in studying mathematical models in many biochemical systems, such as those found in developmental biology, is phase transition. The purpose of this work is t…