activity
20112020
most citedSubsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

74 citations · 95 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2020

Epileptic Seizure Detection and Classification using Time-Frequency Features in EEG Signals

Abdullah Othman, Mohamed A. Deriche

The use of EEG signal to diagnose several brain abnormalities is well-established in the literature. Particularly, epileptic seizure can be detected using EEG signals and several w…

cs.CV2019

Characterization of migrated seismic volumes using texture attributes: a comparative study

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +5

In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrat…

cs.CV2018★ 74 cited

Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

G. AlRegib, M. Deriche, Z. Long +5

Understanding Earth's subsurface structures has been and continues to be an essential component of various applications such as environmental monitoring, carbon sequestration, and…

cs.CV2018

A comparative study of texture attributes for characterizing subsurface structures in seismic volumes

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +8

In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a…

physics.geo-ph2018★ 7 cited

Blind Curvelet based Denoising of Seismic Surveys in Coherent and Incoherent Noise Environments

Naveed Iqbal, Mohamed Deriche, Ghassan AlRegib +1

The localized nature of curvelet functions, together with their frequency and dip characteristics, makes the curvelet transform an excellent choice for processing seismic data. In…

cs.AI2011★ 14 cited

A New Technique for Combining Multiple Classifiers using The Dempster-Shafer Theory of Evidence

A. Al-Ani, M. Deriche

This paper presents a new classifier combination technique based on the Dempster-Shafer theory of evidence. The Dempster-Shafer theory of evidence is a powerful method for combinin…