Dabiah Ahmed Alboaneen

According to our database, Dabiah Ahmed Alboaneen authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Predicting Colorectal Cancer Using Machine and Deep Learning Algorithms: Challenges and Opportunities.

Dabiah Ahmed Alboaneen, Razan Alqarni, Sheikah Alqahtani, Maha Alrashidi, Rawan Alhuda, Eyman Alyahyan, Turki Alshammari

Big Data Cogn. Comput., 2023

Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks.

Khushnood Abbas, Mohammad Kamrul Hasan, Alireza Abbasi, Umi Asma' Mokhtar, Asif Khan, Siti Norul Huda Sheikh Abdullah, Shi Dong, Shayla Islam, Dabiah Ahmed Alboaneen, Fatima Rayan Awad Ahmed

IEEE Access, 2023

Co-Evolving Popularity Prediction in Temporal Bipartite Networks: A Heuristics Based Model.

Khushnood Abbas, Mohammad Kamrul Hasan, Alireza Abbasi, Shi Dong, Taher M. Ghazal, Siti Norul Huda Sheikh Abdullah, Asif Khan, Dabiah Ahmed Alboaneen, Fatima Rayan Awad Ahmed, Thowiba E. Ahmed, Shayla Islam

IEEE Access, 2023

2022

Development of a Web-Based Prediction System for Students' Academic Performance.

Dabiah Ahmed Alboaneen, Modhe Almelihi, Rawan Alsubaie, Raneem Alghamdi, Lama Alshehri, Renad Alharthi

Data, 2022

2021

A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers.

Dabiah Ahmed Alboaneen, Hugo Tianfield, Yan Zhang, Bernardi Pranggono

Future Gener. Comput. Syst., 2021

2020

Comparison of Parental Control Tools for Blocking Advertisements on a Home Network.

Khaznah Alhajri, Wadha Almarrai, Amani Alzahrani, Ezaz Aldahasi, Maha AlGhamdi, Dabiah Ahmed Alboaneen

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Smart Appointments Booking Systems for Social Distancing: Technologies and Solutions.

Fatimah H. Almuhsin, Naba Almadan, Atheer Almarhoon, Hawra A. Al Mohssin, Thowiba Hagali Ahmed, Dabiah Ahmed Alboaneen, Enas E. El-Sharawy

Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2020

2019

Moth-flame glowworm swarm optimisation.

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Multiagent Grid Syst., 2019

Machine and Deep Learning Algorithms for Twitter Spam Detection.

Dalia Alsaffar, Amjad Alfahhad, Bashaier Alqhtani, Lama Alamri, Shahad Alansari, Nada Alqahtani, Dabiah Ahmed Alboaneen

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019

2018

Moth-flame glowworm swarm optimisation and applications in cloud computing and machine learning.

Dabiah Ahmed Alboaneen

PhD thesis, 2018

2017

Glowworm swarm optimisation based task scheduling for cloud computing.

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017

Sentiment analysis via multi-layer perceptron trained by meta-heuristic optimisation.

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Glowworm Swarm Optimisation for Training Multi-Layer Perceptrons.

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

2016

Glowworm Swarm Optimisation Algorithm for Virtual Machine Placement in Cloud Computing.

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Metaheuristic Approaches to Virtual Machine Placement in Cloud Computing: A Review.

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

2014

Energy-Aware Virtual Machine Consolidation for Cloud Data Centers.

Dabiah Ahmed Alboaneen, Bernardi Pranggono, Huaglory Tianfield

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014