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09/03/2022
Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints
Generating unsafe sub-requirements from a partitioned input space to sup...
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07/06/2022
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
In this paper, we proposed a new clustering-based active learning framew...
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12/07/2021
A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection
In this paper, we present a Robust Completed Local Binary Pattern (RCLBP...
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11/25/2021
DA^2-Net : Diverse Adaptive Attention Convolutional Neural Network
Standard Convolutional Neural Network (CNN) designs rarely focus on the ...
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11/21/2021
A Software Tool for Evaluating Unmanned Autonomous Systems
The North Carolina Agriculture and Technical State University (NC A T)...
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11/09/2021
A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm
In this paper, we developed a generalized simulation framework for the e...
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06/22/2021
A Clustering-based Framework for Classifying Data Streams
The non-stationary nature of data streams strongly challenges traditiona...
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04/12/2021
Enabling Content-Centric Device-to-Device Communication in the Millimeter-Wave Band
The growth in wireless traffic and mobility of devices have congested th...
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07/22/2020
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
In multi-label classification tasks, each problem instance is associated...
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06/10/2020
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection
In this paper, a driver's intention prediction near a road intersection ...
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11/19/2019
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Despite advancements in vehicle security systems, over the last decade, ...
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02/09/2018