Lubna Abdel Kareim Gabralla

Orcid: 0000-0002-6910-6861

According to our database1, Lubna Abdel Kareim Gabralla authored at least 27 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Cost-Effective Resources for Computing Approximation Queries in Mobile Cloud Computing Infrastructure.
Sensors, September, 2023

Optimizing the impact of data augmentation for low-resource grammatical error correction.
J. King Saud Univ. Comput. Inf. Sci., June, 2023

Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals.
Sensors, 2023

Self-Adaptive Hybridized Lion Optimization Algorithm With Transfer Learning for Ancient Tamil Character Recognition in Stone Inscriptions.
IEEE Access, 2023

A Boosting-Based Hybrid Feature Selection and Multi-Layer Stacked Ensemble Learning Model to Detect Phishing Websites.
IEEE Access, 2023

Explainable Misinformation Detection Across Multiple Social Media Platforms.
IEEE Access, 2023

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture.
IEEE Access, 2023

2022
Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI.
Sensors, 2022

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data.
Sensors, 2022

Investigating a Dual-Channel Network in a Sustainable Closed-Loop Supply Chain Considering Energy Sources and Consumption Tax.
Sensors, 2022

Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization.
Sensors, 2022

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation.
IEEE Access, 2022

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions.
IEEE Access, 2022

Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites.
IEEE Access, 2022

Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms.
IEEE Access, 2022

Detecting Elderly Behaviors Based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges.
IEEE Access, 2022

A Survey: To Govern, Protect, and Detect Security Principles on Internet of Medical Things (IoMT).
IEEE Access, 2022

2020
Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives.
Neural Comput. Appl., 2020

Smart Home Automation: Taxonomy, Composition, Challenges and Future Direction.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Recent advances in mobile touch screen security authentication methods: A systematic literature review.
Comput. Secur., 2019

A Soft Set Approach for Handling Conflict Situation on Movie Selection.
IEEE Access, 2019

Progress on Artificial Neural Networks for Big Data Analytics: A Survey.
IEEE Access, 2019

2015
Teaching and Learning Computer Science at Al Baha University, Saudi Arabia: Insights from a Staff Development Course.
Proceedings of the 2015 International Conference on Learning and Teaching in Computing and Engineering, 2015

2014
Hybrid soft computing methods for prediction of oil prices.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Prediction of Oil Prices Using Bagging and Random Subspace.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Ensemble of adaptive neuro-fuzzy inference system using particle swarm optimization for prediction of crude oil prices.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Ensemble Neurocomputing Based Oil Price Prediction.
Proceedings of the Afro-European Conference for Industrial Advancement, 2014


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