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Latifah Almuqren
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2020 – today
- 2024
- [j17]Munya A. Arasi, Latifah Almuqren, Imène Issaoui, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri:
Enhancing Red Palm Weevil Detection Using Bird Swarm Algorithm With Deep Learning Model. IEEE Access 12: 1542-1551 (2024) - [j16]Latifah Almuqren, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulrahman Alzahrani, Ahmed Mahmud, Mohammed Rizwanullah:
Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks. IEEE Access 12: 35300-35308 (2024) - [j15]Rajasree Sarkar, Oumaima Saidani, Latifah Almuqren, Syed Muhammad Amrr, Arunava Banerjee, Abdelaziz Salah Saidi:
Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy. IEEE Access 12: 77171-77180 (2024) - [j14]Amel Ksibi, Mohammed Zakariah, Latifah Almuqren, Ala Saleh D. Alluhaidan:
Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques. Eng. Appl. Artif. Intell. 127(Part B): 107390 (2024) - [j13]Hina Farooq, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Riccardo Distasi:
Improving prediction of skeletal growth problems for age evaluation using hand X-rays. Multim. Tools Appl. 83(33): 80027-80049 (2024) - [j12]Turki Aljrees, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Abid Ishaq, Shtwai Alsubai, Alá Abdulmajid Eshmawi, Imran Ashraf:
Contradiction in text review and apps rating: prediction using textual features and transfer learning. PeerJ Comput. Sci. 10: e1722 (2024) - [j11]Hussain Mobarak Albarakati, Muhammad Attique Khan, Ameer Hamza, Faheem Khan, Naoufel Kraiem, Leila Jamel, Latifah Almuqren, Roobaea Alroobaea:
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. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6338-6353 (2024) - [j10]Latifah Almuqren, Nuha Alruwais, Asma Alhashmi, Ibrahim R. Alzahrani, Nahla Salih, Mohammed Assiri, K. Shankar:
WSN-Assisted Consumer Purchasing Power Prediction via Barracuda Swarm Optimization-Driven Deep Learning for E-Commerce Systems. IEEE Trans. Consumer Electron. 70(1): 1694-1701 (2024) - [i1]Latifah Almuqren, Ryan Hodgson, Alexandra I. Cristea:
Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis. CoRR abs/2403.01921 (2024) - 2023
- [j9]Latifah Almuqren, Khalid Mahmood, Sumayh S. Aljameel, Ahmed S. Salama, Gouse Pasha Mohammed, Amani A. Alneil:
Blockchain-Assisted Secure Smart Home Network Using Gradient-Based Optimizer With Hybrid Deep Learning Model. IEEE Access 11: 86999-87008 (2023) - [j8]Latifah Almuqren, Fatma S. Alrayes, Munya A. Arasi, Fahad F. Alruwaili, Abdullah Mohamed, Mohammed Assiri:
Blockchain-Assisted Vehicle and Cargo Matching Using Optimal Fuzzy Restricted Boltzmann Machine in Autonomous Transport System. IEEE Access 11: 105698-105705 (2023) - [j7]Latifah Almuqren, Hamed Alqahtani, Sumayh S. Aljameel, Ahmed S. Salama, Ishfaq Yaseen, Amani A. Alneil:
Hybrid Metaheuristics With Machine Learning Based Botnet Detection in Cloud Assisted Internet of Things Environment. IEEE Access 11: 115668-115676 (2023) - [j6]Latifah Almuqren, Fuad Al-Mutiri, Mashael S. Maashi, Heba Mohsen, Anwer Mustafa Hilal, Mohamed Ibrahim Alsaid, Suhanda Drar, Sitelbanat Abdelbagi:
Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment. Sensors 23(10): 4804 (2023) - [j5]Latifah Almuqren, Sumayh S. Aljameel, Hamed Alqahtani, Saud S. Alotaibi, Manar Ahmed Hamza, Ahmed S. Salama:
A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment. Sensors 23(17): 7370 (2023) - [j4]Muhammad Asif Nauman, Mahlaqa Saeed, Oumaima Saidani, Tayyaba Javed, Latifah Almuqren, Rab Nawaz Bashir, Rashid Jahangir:
IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh. Sensors 23(17): 7583 (2023) - [j3]Latifah Almuqren, Alexandra I. Cristea:
Predicting STC Customers' Satisfaction Using Twitter. IEEE Trans. Comput. Soc. Syst. 10(1): 204-210 (2023) - 2021
- [j2]Latifah Almuqren, Fatma S. Alrayes, Alexandra I. Cristea:
An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Future Internet 13(7): 175 (2021) - [j1]Latifah Almuqren, Alexandra I. Cristea:
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Comput. Sci. 7: e510 (2021) - [c5]Latifah Almuqren, Alexandra I. Cristea:
COVID-19's Impact on the Telecommunications Companies. WorldCIST (4) 2021: 318-327
2010 – 2019
- 2019
- [c4]Latifah AbdulRahman Almuqren, Monzer Moh'd Qasem, Alexandra I. Cristea:
Using Deep Learning Networks to Predict Telecom Company Customer Satisfaction Based on Arabic Tweets. ISD 2019 - 2017
- [c3]Latifah Almuqren, Arwa Alzammam, Shahad Alotaibi, Alexandra I. Cristea, Sarah Alhumoud:
A Review on Corpus Annotation for Arabic Sentiment Analysis. HCI (13) 2017: 215-225 - 2016
- [c2]Latifah Almuqren, Alexandra I. Cristea:
Framework for Sentiment Analysis of Arabic Text. HT 2016: 315-317 - [c1]Latifah Almuqren, Alexandra I. Cristea:
Twitter Analysis to Predict the Satisfaction of Telecom Company Customers. HT (Extended Proceedings) 2016
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last updated on 2024-10-23 21:28 CEST by the dblp team
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