Abdullah Alqahtani
Orcid: 0000-0002-2859-1629Affiliations:
- Prince Sattam bin Abdulaziz University, College of Computer Engineering and Sciences, Saudi Arabia
- University of Leicester, Department of informatics, UK (PhD 2020)
According to our database1,
Abdullah Alqahtani
authored at least 43 papers
between 2018 and 2024.
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Bibliography
2024
J. Big Data, December, 2024
IEEE Internet Things J., December, 2024
IEEE Internet Things J., November, 2024
IEEE Internet Things J., October, 2024
Unveiling Interpretability: Analyzing Transfer Learning in Deep Learning Models for Traffic Sign Recognition.
SN Comput. Sci., August, 2024
Leveraging quantum-inspired chimp optimization and deep neural networks for enhanced profit forecasting in financial accounting systems.
Expert Syst. J. Knowl. Eng., August, 2024
Applied artificial intelligence framework for smart evacuation in industrial disasters.
Appl. Intell., June, 2024
Digital-Twin-Inspired IoT-Assisted Intelligent Performance Analysis Framework for Electric Vehicles.
IEEE Internet Things J., May, 2024
IEEE Internet Things J., May, 2024
IEEE Internet Things J., April, 2024
URLLC-aware and energy-efficient data offloading strategy in high-mobility vehicular mobile edge computing environments.
Veh. Commun., 2024
A novel energy-efficient and cost-effective task offloading approach for UAV-enabled MEC with LEO enhancement in Internet of Remote Things networks.
Simul. Model. Pract. Theory, 2024
Efficient geospatial mapping of buildings, woodlands, water and roads from aerial imagery using deep learning.
PeerJ Comput. Sci., 2024
Intellectual assessment of amyotrophic lateral sclerosis using deep resemble forward neural network.
Neural Networks, 2024
Facial emotion recognition using deep quantum and advanced transfer learning mechanism.
Frontiers Comput. Neurosci., 2024
A dual adaptive semi-supervised attentional residual network framework for urban sound classification.
Adv. Eng. Informatics, 2024
IEEE Access, 2024
2023
Hybrid IoT-Edge-Cloud Computing-based Athlete Healthcare Framework: Digital Twin Initiative.
Mob. Networks Appl., December, 2023
Symmetry, October, 2023
BF<sup>2</sup>SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification.
Neural Comput. Appl., October, 2023
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication.
Neural Networks, May, 2023
A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait Recognition.
Sensors, March, 2023
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm.
Int. J. Imaging Syst. Technol., March, 2023
IEEE Internet Things J., 2023
TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities.
Future Gener. Comput. Syst., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Design of Robust Blockchain-Envisioned Authenticated Key Management Mechanism for Smart Healthcare Applications.
IEEE Access, 2023
2022
J. King Saud Univ. Comput. Inf. Sci., November, 2022
Federated learning based nonlinear two-stage framework for full-reference image quality assessment: An application for biometric.
Image Vis. Comput., 2022
Bald eagle search optimization with deep transfer learning enabled age-invariant face recognition model.
Image Vis. Comput., 2022
Frontiers Comput. Neurosci., 2022
Driver's emotion and behavior classification system based on Internet of Things and deep learning for Advanced Driver Assistance System (ADAS).
Comput. Commun., 2022
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.
Artif. Intell. Medicine, 2022
IEEE Access, 2022
A Single Stream Modified MobileNet V2 and Whale Controlled Entropy Based Optimization Framework for Citrus Fruit Diseases Recognition.
IEEE Access, 2022
2021
Proceedings of the Eighth International Conference on Software Defined Systems, 2021
2020
Model based development using triple graph grammars for data sharing and synchronisation in graph databases.
PhD thesis, 2020
2018
Model Based Development of Data Integration in Graph Databases Using Triple Graph Grammars.
Proceedings of the Software Technologies: Applications and Foundations, 2018