Framework for Sentiment Analysis of Arabic Text. - Latifah Almuqren; Alexandra I. Cristea (HT, 2016)

Twitter Analysis to Predict the Satisfaction of Telecom Company Customers. - Latifah Almuqren; Alexandra I. Cristea (HT (Extended Proceedings), 2016)

A Review on Corpus Annotation for Arabic Sentiment Analysis. - Latifah Almuqren; Arwa Alzammam; Shahad Alotaibi; Alexandra I. Cristea; Sarah Alhumoud (HCI (13), 2017)

Using Deep Learning Networks to Predict Telecom Company Customer Satisfaction Based on Arabic Tweets. - Latifah AbdulRahman Almuqren; Monzer Moh'd Qasem; Alexandra I. Cristea (ISD, 2019)

COVID-19's Impact on the Telecommunications Companies. - Latifah Almuqren; Alexandra I. Cristea (WorldCIST (4), 2021)

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. - Latifah Almuqren; Fatma S. Alrayes; Alexandra I. Cristea (Future Internet, 2021)

AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. - Latifah Almuqren; Alexandra I. Cristea (PeerJ Comput. Sci., 2021)

Blockchain-Assisted Vehicle and Cargo Matching Using Optimal Fuzzy Restricted Boltzmann Machine in Autonomous Transport System. - Latifah Almuqren; Fatma S. Alrayes; Munya A. Arasi; Fahad F. Alruwaili; Abdullah Mohamed; Mohammed Assiri (IEEE Access, 2023)

Hybrid Metaheuristics With Machine Learning Based Botnet Detection in Cloud Assisted Internet of Things Environment. - Latifah Almuqren; Hamed Alqahtani; Sumayh S. Aljameel; Ahmed S. Salama; Ishfaq Yaseen; Amani A. Alneil (IEEE Access, 2023)

Blockchain-Assisted Secure Smart Home Network Using Gradient-Based Optimizer With Hybrid Deep Learning Model. - Latifah Almuqren; Khalid Mahmood 005; Sumayh S. Aljameel; Ahmed S. Salama; Gouse Pasha Mohammed; Amani A. Alneil (IEEE Access, 2023)

Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment. - Latifah Almuqren; Fuad Al-Mutiri; Mashael S. Maashi; Heba Mohsen; Anwer Mustafa Hilal; Mohamed Ibrahim Alsaid; Suhanda Drar; Sitelbanat Abdelbagi (Sensors, 2023)

Predicting STC Customers' Satisfaction Using Twitter. - Latifah Almuqren; Alexandra I. Cristea (IEEE Trans. Comput. Soc. Syst., 2023)

A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment. - Latifah Almuqren; Sumayh S. Aljameel; Hamed Alqahtani; Saud S. Alotaibi; Manar Ahmed Hamza; Ahmed S. Salama (Sensors, 2023)

IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh. - Muhammad Asif Nauman; Mahlaqa Saeed; Oumaima Saidani; Tayyaba Javed; Latifah Almuqren; Rab Nawaz Bashir; Rashid Jahangir (Sensors, 2023)

Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks. - Latifah Almuqren; Mohammed Maray; Faiz Abdullah Alotaibi; Abdulrahman Alzahrani; Ahmed Mahmud; Mohammed Rizwanullah (IEEE Access, 2024)

Enhancing Red Palm Weevil Detection Using Bird Swarm Algorithm With Deep Learning Model. - Munya A. Arasi; Latifah Almuqren; Imène Issaoui; Nabil Sharaf Almalki; Ahmed Mahmud; Mohammed Assiri (IEEE Access, 2024)

Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy. - Rajasree Sarkar; Oumaima Saidani; Latifah Almuqren; Syed Muhammad Amrr; Arunava Banerjee; Abdelaziz Salah Saidi (IEEE Access, 2024)

Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis. - Latifah Almuqren; Ryan Hodgson; Alexandra I. Cristea (CoRR, 2024)

Contradiction in text review and apps rating: prediction using textual features and transfer learning. - Turki Aljrees; Muhammad Umer; Oumaima Saidani; Latifah Almuqren; Abid Ishaq; Shtwai Alsubai; Alá Abdulmajid Eshmawi; Imran Ashraf 003 (PeerJ Comput. Sci., 2024)

A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture. - Hussain Mobarak Albarakati; Muhammad Attique Khan; Ameer Hamza; Faheem Khan 001; Naoufel Kraiem; Leila Jamel 001; Latifah Almuqren; Roobaea Alroobaea (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques. - Amel Ksibi; Mohammed Zakariah; Latifah Almuqren; Ala Saleh D. Alluhaidan (Eng. Appl. Artif. Intell., 2024)

WSN-Assisted Consumer Purchasing Power Prediction via Barracuda Swarm Optimization-Driven Deep Learning for E-Commerce Systems. - Latifah Almuqren; Nuha Alruwais; Asma Alhashmi; Ibrahim R. Alzahrani; Nahla Salih; Mohammed Assiri; K. Shankar 002 (IEEE Trans. Consumer Electron., 2024)

Improving prediction of skeletal growth problems for age evaluation using hand X-rays. - Hina Farooq; Muhammad Umer; Oumaima Saidani; Latifah Almuqren; Riccardo Distasi (Multim. Tools Appl., 2024)

The Effect of AI Gamification on Students' Engagement and Academic Achievement in Malaysia: SEM Analysis Perspectives. - Nisar Ahmed Dahri; Noraffandy Yahaya; Waleed Mugahed Al-Rahmi; Latifah Almuqren; Abeer S. Almgren; Abdulrahman Alshimai; Ahmad Samed Al-Adwan (IEEE Access, 2025)