12 citations · 24 across the 14 of their papers we have counts for
7 papers · 1 filter
A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection
Nana Kankam Gyimah, Abenezer Girma, Mahmoud Nabil Mahmoud +3
In this paper, we present a Robust Completed Local Binary Pattern (RCLBP) framework for a surface defect detection task. Our approach uses a combination of Non-Local (NL) means fil…
DA-Net : Diverse & Adaptive Attention Convolutional Neural Network
Abenezer Girma, Abdollah Homaifar, M Nabil Mahmoud +2
Standard Convolutional Neural Network (CNN) designs rarely focus on the importance of explicitly capturing diverse features to enhance the network's performance. Instead, most exis…
A Software Tool for Evaluating Unmanned Autonomous Systems
Abdollah Homaifar, Ali Karimoddini, Mike Heiges +3
The North Carolina Agriculture and Technical State University (NC A&T) in collaboration with Georgia Tech Research Institute (GTRI) has developed methodologies for creating simulat…
A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering
Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru +2
Feature selection methods are widely used to address the high computational overheads and curse of dimensionality in classifying high-dimensional data. Most conventional feature se…
A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm
Mrinmoy Sarkar, Xuyang Yan, Abenezer Girma +1
In this paper, we developed a generalized simulation framework for the evaluation of electric vertical takeoff and landing vehicles (eVTOLs) in the context of Unmanned Aircraft Sys…
A Clustering-based Framework for Classifying Data Streams
Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar +2
The non-stationary nature of data streams strongly challenges traditional machine learning techniques. Although some solutions have been proposed to extend traditional machine lear…
Enabling Content-Centric Device-to-Device Communication in the Millimeter-Wave Band
Niloofar Bahadori, Mahmoud Nabil, Brian Kelley +1
The growth in wireless traffic and mobility of devices have congested the core network significantly. This bottleneck, along with spectrum scarcity, made the conventional cellular…