12 citations · 24 across the 14 of their papers we have counts for
14 papers
Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints
Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada +4
Generating unsafe sub-requirements from a partitioned input space to support verification-guided test cases for formal verification of black-box models is a challenging problem for…
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
Xuyang Yan, Shabnam Nazmi, Biniam Gebru +4
In this paper, we proposed a new clustering-based active learning framework, namely Active Learning using a Clustering-based Sampling (ALCS), to address the shortage of labeled dat…
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…
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar +1
In multi-label classification tasks, each problem instance is associated with multiple classes simultaneously. In such settings, the correlation between labels contains valuable in…
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection
Abenezer Girma, Seifemichael Amsalu, Abrham Workineh +2
In this paper, a driver's intention prediction near a road intersection is proposed. Our approach uses a deep bidirectional Long Short-Term Memory (LSTM) with an attention mechanis…
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Abenezer Girma, Xuyang Yan, Abdollah Homaifar
Despite advancements in vehicle security systems, over the last decade, auto-theft rates have increased, and cyber-security attacks on internet-connected and autonomous vehicles ar…
Device-to-Device Communications in Millimeter Wave Band: Impact of Beam Alignment Error
Niloofar Bahadori, Nima Namvar, Brian Kelley +1
Exploiting the millimeter wave (mmWave) band has recently attracted considerable attention as a potential solution to widespread deployment of device-to-device (D2D) communication…
Device-to-Device Communications in the Millimeter Wave Band: A Novel Distributed Mechanism
Niloofar Bahadori, Nima Namvar, Brian Kelley +1
In spite of its potential advantages, the large-scale implementation of the device-to-device (D2D) communications has yet to be realized, mainly due to severe interference and lack…