334 citations · 1.9k across the 45 of their papers we have counts for
11 papers · 1 filter
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review
Ali Bou Nassif, Bassel Soudan, Mohammad Azzeh +2
Electrical utilities depend on short-term demand forecasting to proactively adjust production and distribution in anticipation of major variations. This systematic review analyzes…
Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments
Ismail Shahin, Ali Bou Nassif, Nawel Nemmour +3
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 de…
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition
Ismail Shahin, Noor Hindawi, Ali Bou Nassif +2
Recent analysis on speech emotion recognition has made considerable advances with the use of MFCCs spectrogram features and the implementation of neural network approaches such as…
COVID-19 Electrocardiograms Classification using CNN Models
Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek
With the periodic rise and fall of COVID-19 and numerous countries being affected by its ramifications, there has been a tremendous amount of work that has been done by scientists,…
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices
Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif
Due to improvements in artificial intelligence, speaker identification (SI) technologies have brought a great direction and are now widely used in a variety of sectors. One of the…
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis
Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar
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 unit…
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN
Ashraf Elnagar, Imad Afyouni, Ismail Shahin +2
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…
Reliability Models for Smartphone Applications
Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz
Smartphones have become the most used electronic devices. They carry out most of the functionalities of desktops, offering various useful applications that suit the users needs. Th…
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method
Mohammad Azzeh, Ali Bou Nassif, Cuauhtemoc Lopez Martin
Use Case Points (UCP) method has been around for over two decades. Although, there was a substantial criticism concerning the algebraic construction and factors assessment of UCP,…
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions
Ali Bou Nassif, Ismail Shahin, Shibani Hamsa +2
This work aims at intensifying text-independent speaker identification performance in real application situations such as noisy and emotional talking conditions. This is achieved b…
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1
The emergence and continued reliance on the Internet and related technologies has resulted in the generation of large amounts of data that can be made available for analyses. Howev…