Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach

M Mujahid, F Rustam, R Shafique, V Chunduri… - Information, 2023 - mdpi.com
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …

Electroencephalogram signals for detecting confused students in online education platforms with probability-based features

T Daghriri, F Rustam, W Aljedaani, AH Bashiri, I Ashraf - Electronics, 2022 - mdpi.com
Online education has emerged as an important educational medium during the COVID-19
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …

Algorithmic Insights: Exploring AI and ML in Practical Applications

S Yalamati, RK Vaddy - Practical Applications of Data Processing …, 2024 - igi-global.com
This chapter delves into the profound impact of artificial intelligence (AI) and machine
learning (ML) in practical, real-world applications. Unveiling the transformative capabilities …

Visualization technology and deep-learning for multilingual spam message detection

H Lee, S Jeong, S Cho, E Choi - Electronics, 2023 - mdpi.com
Spam detection is an essential and unavoidable problem in today's society. Most of the
existing studies have used string-based detection methods with models and have been …

Automatic classification of accessibility user reviews in android apps

W Aljedaani, MW Mkaouer, S Ludi… - 2022 7th international …, 2022 - ieeexplore.ieee.org
In recent years, mobile applications have gained popularity for providing information, digital
services, and content to users including users with disabilities. However, recent studies have …

Identifying fake job posting using selective features and resampling techniques

H Afzal, F Rustam, W Aljedaani, MA Siddique… - Multimedia Tools and …, 2024 - Springer
The fake job posting has emerged as an alarming cyber-crime during the last few years
which affects both job seekers and companies alike. Fraudulent companies and individuals …

Challenges and Opportunities of NLP for HR Applications: A Discussion Paper

JL Leidner, M Stevenson - arXiv preprint arXiv:2405.07766, 2024 - arxiv.org
Over the course of the recent decade, tremendous progress has been made in the areas of
machine learning and natural language processing, which opened up vast areas of potential …

Cognitive Workload Classification in Industry 5.0 Applications: Electroencephalography-Based Bi-Directional Gated Network Approach

MA Afzal, Z Gu, B Afzal, SU Bukhari - Electronics, 2023 - mdpi.com
In the era of Industry 5.0, effectively managing cognitive workload is crucial for optimizing
human performance and ensuring operational efficiency. Using an EEG-based Bi-directional …

Deep convolutional neural networks with genetic algorithm-based synthetic minority over-sampling technique for improved imbalanced data classification

SA Alex, JJV Nayahi, S Kaddoura - Applied Soft Computing, 2024 - Elsevier
Imbalanced data classification presents a challenge in machine learning, inducing biased
model learning. Moreover, data dimensionality poses another challenge as it highly impacts …