Ensemble Neurocomputing Based Oil Price Prediction. - Lubna Abdel Kareim Gabralla; Hela Mahersia; Ajith Abraham (AECIA, 2014)

Ensemble of adaptive neuro-fuzzy inference system using particle swarm optimization for prediction of crude oil prices. - Lubna Abdel Kareim Gabralla; Talaat M. Wahby; Varun Kumar Ojha; Ajith Abraham (HIS, 2014)

Prediction of Oil Prices Using Bagging and Random Subspace. - Lubna Abdel Kareim Gabralla; Ajith Abraham (IBICA, 2014)

Hybrid soft computing methods for prediction of oil prices. - Lubna Abdel Kareim Gabralla; Ajith Abraham (SoCPaR, 2014)

Teaching and Learning Computer Science at Al Baha University, Saudi Arabia: Insights from a Staff Development Course. - Anders Berglund; Arnold Pears; Aletta Nylén; Farooq Ahmad; Bader Alghamdi; Khalid Alghamdi; Ahmed Alhabish; Abdullah Aljoufi; Eidah Alzahrani; Rami Alzahrani; Ismat Aldmour; Areej Athama; et al. (LaTiCE, 2015)

Progress on Artificial Neural Networks for Big Data Analytics: A Survey. - Haruna Chiroma; Usman Ali Abdullahi; Shafii Muhammad Abdulhamid; Ala Abdulsalam Alarood; Lubna Abdel Kareim Gabralla; Nadim Rana; Liyana Shuib; Ibrahim Abaker Targio Hashem; Dada Emmanuel Gbenga; Adamu I. Abubakar; Akram M. Zeki; Tutut Herawan (IEEE Access, 2019)

A Soft Set Approach for Handling Conflict Situation on Movie Selection. - Khalid Haruna; Maizatul Akmar Ismail 001; Mohammad Suyanto; Lubna Abdel Kareim Gabralla; Abdullahi Baffa Bichi; Sani Danjuma; Habeebah Adamu Kakudi; Muhammad Sani Haruna; Saber Zerdoumi; Jemal H. Abawajy; Tutut Herawan (IEEE Access, 2019)

Recent advances in mobile touch screen security authentication methods: A systematic literature review. - Tahir Musa Ibrahim; Shafii Muhammad Abdulhamid; Ala Abdulsalam Alarood; Haruna Chiroma; Mohammed Ali Al-garadi; Nadim Rana; Amina Nuhu Muhammad; Adamu I. Abubakar; Khalid Haruna; Lubna Abdel Kareim Gabralla (Comput. Secur., 2019)

Smart Home Automation: Taxonomy, Composition, Challenges and Future Direction. - Olutosin Taiwo; Lubna Abdel Kareim Gabralla; Absalom E. Ezugwu (ICCSA (6), 2020)

Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives. - Auwal Ahmed Bello; Haruna Chiroma; Abdulsalam Ya'u Gital; Lubna Abdel Kareim Gabralla; Shafii Muhammad Abdulhamid; Liyana Shuib (Neural Comput. Appl., 2020)

A Survey: To Govern, Protect, and Detect Security Principles on Internet of Medical Things (IoMT). - Taqwa Ahmed Alhaj; Settana Mohammed Abdulla; Mohmmed Abdulla Elshekh Iderss; Alaa Abdalati Ahmed Ali; Fatin A. Elhaj; Muhammad Akmal Remli; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

Detecting Elderly Behaviors Based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges. - Mubarak Almutairi; Lubna Abdel Kareim Gabralla; Saidu Abubakar; Haruna Chiroma (IEEE Access, 2022)

Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms. - Payal Kadam; Deepali Rahul Vora; Sashikala Mishra; Shruti Patil; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites. - Lakshmana Rao Kalabarige; Routhu Srinivasa Rao; Ajith Abraham; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions. - Supriya V. Mahadevkar; Bharti Khemani; Shruti Patil; Ketan Kotecha; Deepali Rahul Vora; Ajith Abraham; Lubna Abdel Kareim Gabralla (IEEE Access, 2022)

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation. - B. Natarajan; Rajalakshmi Elangovan; R. Elakkiya; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla; V. Subramaniyaswamy 001 (IEEE Access, 2022)

Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization. - Anu Bajaj; Ajith Abraham; Saroj Ratnoo; Lubna Abdel Kareim Gabralla (Sensors, 2022)

Investigating a Dual-Channel Network in a Sustainable Closed-Loop Supply Chain Considering Energy Sources and Consumption Tax. - Mehran Gharye Mirzaei; Fariba Goodarzian; Saeid Maddah; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2022)

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data. - Sajal Misra; Satish Kumar; Sameer Sayyad; Arunkumar M. Bongale; Priya S. Jadhav; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2022)

Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI. - Manish Rathod; Chirag Dalvi; Kulveen Kaur; Shruti Patil; Shilpa Gite; Pooja Kamat; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2022)

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. - Rajalakshmi Elangovan; R. Elakkiya; V. Subramaniyaswamy 001; Alexey L. Prikhodko; Mikhail G. Grif; Maxim Bakaev; Ketan Kotecha; Lubna Abdel Kareim Gabralla; Ajith Abraham (IEEE Access, 2023)

Explainable Misinformation Detection Across Multiple Social Media Platforms. - Gargi Joshi; Ananya Srivastava; Bhargav Yagnik; Mohammed Hasan; Zainuddin Saiyed; Lubna Abdel Kareim Gabralla; Ajith Abraham; Rahee Walambe; Ketan Kotecha (IEEE Access, 2023)

A Boosting-Based Hybrid Feature Selection and Multi-Layer Stacked Ensemble Learning Model to Detect Phishing Websites. - Lakshmana Rao Kalabarige; Routhu Srinivasa Rao; Alwyn R. Pais; Lubna Abdel Kareim Gabralla (IEEE Access, 2023)

Self-Adaptive Hybridized Lion Optimization Algorithm With Transfer Learning for Ancient Tamil Character Recognition in Stone Inscriptions. - Rangasamy Devi Priya; S. Karthikeyan; Indra Jaganathan; Kiruba Shankar Rameshbabu; Ajith Abraham; Lubna Abdel Kareim Gabralla; R. Sivaraj; S. M. Nandhagopal (IEEE Access, 2023)

Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals. - Bhaskar Kapoor; Bharti Nagpal; Praphula Kumar Jain; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2023)

Optimizing the impact of data augmentation for low-resource grammatical error correction. - Aiman Solyman; Marco Zappatore; Zhenyu Wang 001; Zeinab Mahmoud; Ali Alfatemi; Ashraf Osman Ibrahim; Lubna Abdel Kareim Gabralla (J. King Saud Univ. Comput. Inf. Sci., 2023)

Cost-Effective Resources for Computing Approximation Queries in Mobile Cloud Computing Infrastructure. - Arun Kumar Sangaiah; Amir Javadpour 001; Pedro Pinto 001; Haruna Chiroma; Lubna Abdel Kareim Gabralla (Sensors, 2023)