no code implementations • 3 Sep 2022 • Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada, Mahmoud Nabil, Lydia Asrat Zeleke, Abdollah Homaifar, Edward Tunstel
This paper investigates a meta-heuristic approach to search for unsafe candidate sub-requirements in partitioned input space.
1 code implementation • 6 Jul 2022 • Xuyang Yan, Shabnam Nazmi, Biniam Gebru, Mohd Anwar, Abdollah Homaifar, Mrinmoy Sarkar, Kishor Datta Gupta
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 data.
no code implementations • 7 Dec 2021 • Nana Kankam Gyimah, Abenezer Girma, Mahmoud Nabil Mahmoud, Shamila Nateghi, Abdollah Homaifar, Daniel Opoku
Our approach uses a combination of Non-Local (NL) means filter with wavelet thresholding and Completed Local Binary Pattern (CLBP) to extract robust features which are fed into classifiers for surface defects detection.
no code implementations • 25 Nov 2021 • Abenezer Girma, Abdollah Homaifar, M Nabil Mahmoud, Xuyang Yan, Mrinmoy Sarkar
Standard Convolutional Neural Network (CNN) designs rarely focus on the importance of explicitly capturing diverse features to enhance the network's performance.
no code implementations • 21 Nov 2021 • Abdollah Homaifar, Ali Karimoddini, Mike Heiges, Mubbashar A. Khan, Berat A. Erol, Shabnam Nazmi
The North Carolina Agriculture and Technical State University (NC A&T) in collaboration with Georgia Tech Research Institute (GTRI) has developed methodologies for creating simulation-based technology tools that are capable of inferring the perceptions and behavioral states of autonomous systems.
no code implementations • 10 Nov 2021 • Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru, Shabnam Nazmi, Abdollah Homaifar
In this paper, a supervised feature selection method using density-based feature clustering (SFSDFC) is proposed to obtain an appropriate final feature subset for mixed-type data.
1 code implementation • 22 Jun 2021 • Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward Tunstel
The overlap among classes and the labeling of data streams constitute other major challenges for classifying data streams.
no code implementations • 22 Jul 2020 • Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily Doucette
The correlation between labels can be exploited at different levels such as capturing the pair-wise correlation or exploiting the higher-order correlations.
no code implementations • 10 Jun 2020 • Abenezer Girma, Seifemichael Amsalu, Abrham Workineh, Mubbashar Khan, Abdollah Homaifar
As intersection is considered to be as one of the major source of road accidents, predicting a driver's intention at an intersection is very crucial.
1 code implementation • 19 Nov 2019 • Abenezer Girma, Xuyang Yan, Abdollah Homaifar
Results show that the proposed model prediction accuracy remains satisfactory and outperforms the other approaches despite the extent of anomalies and noise-induced in the data.