Search Results for author: Abenezer Girma

Found 5 papers, 2 papers with code

A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection

no code implementations7 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.

Defect Detection Denoising

DA$^{\textbf{2}}$-Net : Diverse & Adaptive Attention Convolutional Neural Network

no code implementations25 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.

A Clustering-based Framework for Classifying Data Streams

1 code implementation22 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.

BIG-bench Machine Learning Clustering +1

Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection

no code implementations10 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.

Autonomous Vehicles Time Series +1

Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network

1 code implementation19 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.

Autonomous Vehicles Driver Identification +2

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