most citedVulnerability Detection Using Two-Stage Deep Learning Models

7 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words

Hazem Darwish, Abdalrahman Al Malah, Khloud Al Jallad +1

Brain-Computer-Interface (BCI) aims to support communication-impaired patients by translating neural signals into speech. A notable research topic in BCI involves Electroencephalog…

eess.AS20236 cited

Quran Recitation Recognition using End-to-End Deep Learning

Ahmad Al Harere, Khloud Al Jallad

The Quran is the holy scripture of Islam, and its recitation is an important aspect of the religion. Recognizing the recitation of the Holy Quran automatically is a challenging tas…

cs.SD20233 cited

Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning

Ahmad Al Harere, Khloud Al Jallad

In Islam, readers must apply a set of pronunciation rules called Tajweed rules to recite the Quran in the same way that the angel Jibrael taught the Prophet, Muhammad. The traditio…

cs.CR20237 cited

Vulnerability Detection Using Two-Stage Deep Learning Models

Mohamed Mjd Alhafi, Mohammad Hammade, Khloud Al Jallad

Application security is an essential part of developing modern software, as lots of attacks depend on vulnerabilities in software. The number of attacks is increasing globally due…

cs.CV20237 cited

An experimental study in Real-time Facial Emotion Recognition on new 3RL dataset

Rahmeh Abou Zafra, Lana Ahmad Abdullah, Rouaa Alaraj +3

Although real-time facial emotion recognition is a hot topic research domain in the field of human-computer interaction, state-of the-art available datasets still suffer from vario…