173 citations · 338 across the 16 of their papers we have counts for
9 papers · 1 filter
Meta-Optimization of Deep CNN for Image Denoising Using LSTM
Basit O. Alawode, Motaz Alfarraj
The recent application of deep learning (DL) to various tasks has seen the performance of classical techniques surpassed by their DL-based counterparts. As a result, DL has equally…
Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
Ahmad Mustafa, Motaz Alfarraj, Ghassan AlRegib
Seismic inversion refers to the process of estimating reservoir rock properties from seismic reflection data. Conventional and machine learning-based inversion workflows usually wo…
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
Yuting Hu, Zhiling Long, Anirudha Sundaresan +4
Tactile sensing or fabric hand plays a critical role in an individual's decision to buy a certain fabric from the range of available fabrics for a desired application. Therefore, t…
Semi-supervised Learning for Acoustic Impedance Inversion
Motaz Alfarraj, Ghassan AlRegib
Recent applications of deep learning in the seismic domain have shown great potential in different areas such as inversion and interpretation. Deep learning algorithms, in general,…
Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping
Yazeed Alaudah, Motaz Alfarraj, Ghassan AlRegib
Recently, there has been significant interest in various supervised machine learning techniques that can help reduce the time and effort consumed by manual interpretation workflows…
Multiscale Fusion for Seismic Geometric Attribute Enhancement
Motaz Alfarraj, Haibin Di, Ghassan AlRegib
In this abstract, we propose a multiscale fusion technique to enhance seismic geometric attributes, such as dip and curvature, which are very sensitive to noise present in seismic…
Multiresolution Analysis and Learning for Computational Seismic Interpretation
Motaz Alfarraj, Yazeed Alaudah, Zhiling Long +1
We explore the use of multiresolution analysis techniques as texture attributes for seismic image characterization, especially in representing subsurface structures in large migrat…
A Machine Learning Benchmark for Facies Classification
Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj +1
The recent interest in using deep learning for seismic interpretation tasks, such as facies classification, has been facing a significant obstacle, namely the absence of large publ…
Content-adaptive non-parametric texture similarity measure
Motaz Alfarraj, Yazeed Alaudah, Ghassan AlRegib
In this paper, we introduce a non-parametric texture similarity measure based on the singular value decomposition of the curvelet coefficients followed by a content-based truncatio…