Taha Alhersh

Orcid: 0000-0002-3673-5397

According to our database1, Taha Alhersh authored at least 9 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2021
From motion to human activity recognition.
PhD thesis, 2021

Challenges of Software Requirements Quality Assurance and Validation: A Systematic Literature Review.
IEEE Access, 2021

Learning Human Activity From Visual Data Using Deep Learning.
IEEE Access, 2021

2020
Metrics Performance Analysis of Optical Flow.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
Unsupervised Fine-tuning of Optical Flow for Better Motion Boundary Estimation.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

On the Combination of IMU and Optical Flow for Action Recognition.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Action Recognition Using Local Visual Descriptors and Inertial Data.
Proceedings of the Ambient Intelligence - 15th European Conference, 2019

2016
Species Identification Using Part of DNA Sequence: Evidence from Machine Learning Algorithms.
EAI Endorsed Trans. Future Intell. Educ. Environ., 2016

2013
On the combination of wavelet and curvelet for feature extraction to classify lung cancer on chest radiographs.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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