Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Elnagar, Ashraf"'
Publikováno v:
Preprint- ICR'23 - The Second International Conference on Innovations in Computing Research, 2023
Recent advances in Generative Adversarial Networks (GANs) continue to attract the attention of researchers in different fields due to the wide range of applications devised to take advantage of their key features. Most recent GANs are focused on real
Externí odkaz:
http://arxiv.org/abs/2305.18387
Autor:
Al-Barham, Muhammad, Alsharkawi, Adham, Al-Yaman, Musa, Al-Fetyani, Mohammad, Elnagar, Ashraf, SaAleek, Ahmad Abu, Al-Odat, Mohammad
This paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset. AASL comprises 7,856 raw and fully labelled RGB images of the Arabic sign language alphabets, which to our best knowledge is the first publicly available RGB dataset. The dat
Externí odkaz:
http://arxiv.org/abs/2301.11932
Social media is becoming a source of news for many people due to its ease and freedom of use. As a result, fake news has been spreading quickly and easily regardless of its credibility, especially in the last decade. Fake news publishers take advanta
Externí odkaz:
http://arxiv.org/abs/2205.03114
Publikováno v:
In Expert Systems With Applications 15 August 2024 248
Autor:
Nassif, Ali Bou, Shahin, Ismail, Elnagar, Ashraf, Velayudhan, Divya, Alhudhaif, Adi, Polat, Kemal
Speaker recognition systems are widely used in various applications to identify a person by their voice; however, the high degree of variability in speech signals makes this a challenging task. Dealing with emotional variations is very difficult beca
Externí odkaz:
http://arxiv.org/abs/2201.02994
Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments
Autor:
Shahin, Ismail, Nassif, Ali Bou, Nemmour, Nawel, Elnagar, Ashraf, Alhudhaif, Adi, Polat, Kemal
Publikováno v:
Published in Neural Computing and Applications. Vol. 33, issue 23, June 2021, pp. 16033-16055
In this work, we conducted an empirical comparative study of the performance of text-independent speaker verification in emotional and stressful environments. This work combined deep models with shallow architecture, which resulted in novel hybrid cl
Externí odkaz:
http://arxiv.org/abs/2112.13353
Publikováno v:
ACM Trans. Asian Low-Resour. Lang. Inf. Process. 21, 1, Article 14 (November 2021), 25 pages (2021)
This work presents a detailed comparison of the performance of deep learning models such as convolutional neural networks (CNN), long short-term memory (LSTM), gated recurrent units (GRU), their hybrids, and a selection of shallow learning classifier
Externí odkaz:
http://arxiv.org/abs/2112.00534
There are several reasons why the fear of vaccination has caused population rejection. Questions have been raised by students regarding the effectiveness of vaccines, which in turn has led to vaccination hesitancy. Students perceptions are influenced
Externí odkaz:
http://arxiv.org/abs/2112.01293
Autor:
Kamalov, Firuz, Elnagar, Ashraf
Imbalanced data occurs in a wide range of scenarios. The skewed distribution of the target variable elicits bias in machine learning algorithms. One of the popular methods to combat imbalanced data is to artificially balance the data through resampli
Externí odkaz:
http://arxiv.org/abs/2110.12644
Publikováno v:
In Intelligent Systems with Applications June 2024 22