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Motaz Alfarraj

Assistant Professor

King Fahd University of Petroleum and Minerals

Saudi Arabia

Research Interests

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Articles (20)

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Collaborators (7)

Medhat A. Nemitallah

Massachusetts Institute of Technology

UNITED STATES

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Mohamed A. Habib

SAUDI ARABIA

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Mohammed Abouheaf

Bowling Green State University

UNITED STATES

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Ayaz H. Khan

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Naveed Iqbal

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Sherif M. Hanafy

SAUDI ARABIA

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Mudassir Masood

Associate Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Motaz Alfarraj

Research Interests

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Articles (20)

Inversion of Vertical Seismic Profiling (VSP) Data via Temporal Convolutional Networks

Efficient Seismic Data Acquisition Using 2D Deep Compressed Sensing

FaciesMamba: Leveraging Sequence Modeling for Parameter-Efficient Facies Classification

Interpretable Deep Learning for Classifying Skin Lesions

Listen to your gradients: Integrating gradients into deep unfolding networks

Real-Time Monitoring of Personal Protective Equipment Compliance in Surveillance Cameras

ADVANCING COLORECTAL POLYP SEGMENTATION WITH WATERSHED ALGORITHM-ENHANCED PARALLEL SELF-SUPERVISED LEARNING

Attention-based self-calibrated convolution neural network for efficient facies classification

Contrastive-based YOLOv7 for personal protective equipment detection

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting

Explainable deep learning diagnostic system for prediction of lung disease from medical images

Gene Expression-Based Cancer Classification for Handling the Class Imbalance Problem and Curse of Dimensionality

Geology-constrained dynamic graph convolutional networks for seismic facies classification

OBJECT-AWARE ADAPTIVE IMAGE RETARGETING VIA IMPORTANCE MAP FUSION

Probabilistic physics-informed neural network for seismic petrophysical inversion

Self-supervised learning for efficient seismic facies classification

Artificial intelligence for control and optimization of boilers’ performance and emissions: A review

Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data

A simultaneous denoising and event-picking approach using supervised machine learning

EDITORIAL

Collaborators (7)

Medhat A. Nemitallah

Mohamed A. Habib

Mohammed Abouheaf

Ayaz H. Khan

Naveed Iqbal

Sherif M. Hanafy

Mudassir Masood

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