Safa Riyadh Waheed
Universiti Teknologi Malaysia
14 Papers
Safa Riyadh Waheed is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 2, co-authored 6 publications. Previous affiliations of Safa Riyadh Waheed include Islamic University.
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Papers
Multifocus watermarking approach based on discrete cosine transform.
Safa Riyadh Waheed,Mohammed Hazim Alkawaz,Mohammed Hazim Alkawaz,Amjad Rehman,Abdulaziz S. Almazyad,Abdulaziz S. Almazyad,Tanzila Saba +6 more
TL;DR: A new image fusion method is proposed utilizing the Discrete Cosine Transform (DCT) to join the source image into a solitary minimized image containing more exact depiction of the sight than any of the individual source images.
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CNN deep learning-based image to vector depiction
Safa Riyadh Waheed,Mohd Shafry Mohd Rahim,Norhaida Mohd Suaib,A. A. Salim +3 more
TL;DR: The performance evaluation (using the CIFAR dataset) of the newly developed system revealed its better strength and flexibility in managing the test images from a new-fangled and isolated field than the reported techniques.
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Melanoma Skin Cancer Classification based on CNN Deep Learning Algorithms
Safa Riyadh Waheed,Saadi Mohammed Saadi,Mohd Shafry Mohd Rahim,Norhaida Mohd Suaib,Myasar Mundher Adnan +4 more
TL;DR: In this article , a convolutional neural network (CNN) was used to detect melanoma lesions on a server equipped with a graphics processing unit (GPU) for early detection of melanoma.
A Survey and Analysis on Image Annotation
Myasar Mundher Adnan,Mohd Shafry Mohd Rahim,Kerrar Al-Jawaheri,Mohammed Hasan Ali,Safa Riyadh Waheed,A. Hussien Radie +5 more
- 06 Sep 2020
TL;DR: In this paper, a detailed study of image annotation methods is devoted for distinguishing between manual, semi-automatic and automatic annotation, and a synthesis of state-of-the-art methods to motivate choices is presented.
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Examining Effectiveness and User Experiences in 3D Mobile based Augmented Reality for MSU Virtual Tour
Chairil Andri,Mohammed Hazim Alkawaz,Safa Riyadh Waheed +2 more
- 29 Jun 2019
TL;DR: This application will able to help visitors in the process of obtaining such information on MSU in a very simple way by augmented reality feature, and let the visitors become familiar with MSU’s environment by virtual tour feature.
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