L. A. Gabralla

发表

Modeling Crude Oil Price Chaotic Behavior Using Machine Learning

Supervisor Ajith Abraham, L. A. Gabralla, L. Gabralla, 2015 .

Teaching and Learning Computer Science at Al Baha University, Saudi Arabia: Insights from a Staff Development Course

Rahmat Budiarto, Anders Berglund, Arnold Pears, 2015, 2015 International Conference on Learning and Teaching in Computing and Engineering.

Comparison of Soft Computing Approaches for Prediction of Crude Oil Price

A. Abraham, L. A. Gabralla, 2015 .

Comparison of Hybrid Intelligent Approaches for Prediction of Crude Oil Price

A. Abraham, L. A. Gabralla, 2015 .

Prediction of Oil Prices Using Bagging and Random Subspace

Ajith Abraham, Lubna A. Gabralla, A. Abraham, 2014, IBICA.

Computational Modeling of Crude Oil Price Forecasting : A Review of Two Decades of Research

Ajith Abraham, A. Abraham, L. A. Gabralla, 2014 .

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

F. Goodarzian, L. A. Gabralla, Ajith Abraham, 2022, Sensors.

Detecting Elderly Behaviors based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges

H. Chiroma, L. A. Gabralla, Mubarak Almutari, 2022, IEEE Access.

Enhanced Arabic Sentiment Analysis Using a Novel Stacking Ensemble of Hybrid and Deep Learning Models

Shaker El-Sappagh, Hager Saleh, L. A. Gabralla, 2022, Applied Sciences.

A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions

K. Kotecha, Ajith Abraham, L. A. Gabralla, 2022, IEEE Access.

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

Bharatram S. Natarajan, K. Kotecha, Ajith Abraham, 2022, IEEE Access.

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

K. Kotecha, Shylendra Kumar, A. Bongale, 2022, Sensors.

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

Muhammad Akmal bin Remli, Fatin A. Elhaj, L. A. Gabralla, 2022, IEEE Access.

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture

K. Kotecha, V. Subramaniyaswamy, L. A. Gabralla, 2023, IEEE Access.

Denoising CT Images using wavelet transform

Hela Mahersia, Lubna A. Gabralla, Marwan Zaroug, 2015 .

Progress on Artificial Neural Networks for Big Data Analytics: A Survey

Adamu I. Abubakar, Akram M. Zeki, Tutut Herawan, 2019, IEEE Access.

Oil price prediction using ensemble machine learning

Ajith Abraham, Rania Jammazi, Lubna A. Gabralla, 2013, 2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE).

A Soft Set Approach for Handling Conflict Situation on Movie Selection

Jemal H. Abawajy, Tutut Herawan, Maizatul Akmar Ismail, 2019, IEEE Access.

Lie Recognition with Multi-Modal Spatial–Temporal State Transition Patterns Based on Hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory

S. B. Abdullahi, H. Chiroma, L. A. Gabralla, 2023, Brain Sciences.

Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives

Auwal Ahmed Bello, H. Chiroma, A. Gital, 2020, Neural Computing and Applications.

Lung Cancer Detection on CT Scan Images: A Review on the Analysis Techniques

Hela Mahersia, Lubna A. Gabralla, H. Mahersia, 2015 .

Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms

K. Kotecha, Sashikala Mishra, L. A. Gabralla, 2022, IEEE Access.

Deep Learning Solutions for Protein: Recent Development and Future Directions

Haruna Chiroma, Awodele Oludele, Fatsuma Jauro, 2020, International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020).

Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models

Shaker El-Sappagh, Hager Saleh, L. A. Gabralla, 2023, Applied Sciences.

Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals

P. Jain, L. A. Gabralla, Bharti Nagpal, 2022, Sensors.

Kids’ Emotion Recognition Using Various Deep-Learning Models with Explainable AI

K. Kotecha, P. Kamat, L. A. Gabralla, 2022, Sensors.

Optimizing the impact of data augmentation for low-resource grammatical error correction

L. A. Gabralla, M. Zappatore, Ali Alfatemi, 2023, J. King Saud Univ. Comput. Inf. Sci..

Multi-Objective Hybrid Flower Pollination Resource Consolidation Scheme for Large Cloud Data Centres

H. Chiroma, A. Aliyu, M. Usman, 2022, Applied Sciences.

A Boosting-Based Hybrid Feature Selection and Multi-Layer Stacked Ensemble Learning Model to Detect Phishing Websites

Routhu Srinivasa Rao, A. R. Pais, L. A. Gabralla, 2023, IEEE Access.

Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites

Routhu Srinivasa Rao, Ajith Abraham, L. A. Gabralla, 2022, IEEE Access.

Automated Diagnosis for Colon Cancer Diseases Using Stacking Transformer Models and Explainable Artificial Intelligence

Shaker El-Sappagh, Abdulaziz Almohimeed, Hager Saleh, 2023, Diagnostics.

Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder

K. Kotecha, L. A. Gabralla, S. Patil, 2023, International journal of environmental research and public health.