Sultan Ahmad
Orcid: 0000-0002-3198-7974
According to our database1,
Sultan Ahmad
authored at least 37 papers
between 2003 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
J. Supercomput., January, 2025
Expert Syst. Appl., 2025
2024
Intelligent Crowd Density Classification Using Improved Metaheuristics with Transfer Learning Model on Smart Cities.
SN Comput. Sci., December, 2024
CNN-Based Deep Learning Model for Early Identification and Categorization of Melanoma Skin Cancer Using Medical Imaging.
SN Comput. Sci., October, 2024
Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things.
IEEE J. Biomed. Health Informatics, June, 2024
Design of a High-Efficiency Temporal Engine for Real-Time Spatial Satellite Image Classification Using Augmented Incremental Transfer Learning for Crop Analysis.
SN Comput. Sci., June, 2024
DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.
IEEE J. Biomed. Health Informatics, March, 2024
Enabling Resilient Wireless Networks: OFDMA-Based Algorithm for Enhanced Survivability and Privacy in 6G IoT Environments.
IEEE Trans. Consumer Electron., February, 2024
The Delphi method to analyze the expert views on possible futures of the smart city adoption and development in developing countries: the case of Jordan.
PeerJ Comput. Sci., 2024
Leveraging user's preference and social circle for personalized recommendation via matrix factorization with sub-linear convergence rate.
J. Intell. Fuzzy Syst., 2024
Int. J. Bus. Data Commun. Netw., 2024
Deep Learning Based Vehicle Detection and Counting System for Intelligent Transportation.
Comput. Syst. Sci. Eng., 2024
IEEE Access, 2024
Artificial Intelligence Techniques for Landslides Prediction Using Satellite Imagery.
IEEE Access, 2024
2023
SN Comput. Sci., September, 2023
Int. J. Emerg. Technol. Learn., May, 2023
A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet.
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Ensemble Learning Driven Computer-Aided Diagnosis Model for Brain Tumor Classification on Magnetic Resonance Imaging.
IEEE Access, 2023
MBAHIL: Design of a Multimodal Hybrid Bioinspired Model for Augmentation of Hyperspectral Imagery via Iterative Learning for Continuous Efficiency Enhancements.
IEEE Access, 2023
Lumbar Spine Disease Detection: Enhanced CNN Model With Improved Classification Accuracy.
IEEE Access, 2023
2022
AI-based production and application of English multimode online reading using multi-criteria decision support system.
Soft Comput., 2022
Integrated IoT-Based Secure and Efficient Key Management Framework Using Hashgraphs for Autonomous Vehicles to Ensure Road Safety.
Sensors, 2022
Int. J. Comput. Appl. Technol., 2022
An expert system-based IoT system for minimisation of air pollution in developing countries.
Int. J. Comput. Appl. Technol., 2022
2021
Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare.
Sensors, 2021
Efficient secure surveillance on smart healthcare IoT system through cosine-transform encryption.
J. Intell. Fuzzy Syst., 2021
IEICE Electron. Express, 2021
Solution of the Systems of Delay Integral Equations in Heterogeneous Data Communication through Haar Wavelet Collocation Approach.
Complex., 2021
Detection of Breast Cancer Through Clinical Data Using Supervised and Unsupervised Feature Selection Techniques.
IEEE Access, 2021
2020
Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.
Sensors, 2020
Reflections from Practical Experiences of Managing Participatory Media Platforms for Development.
Proceedings of the 2020 International Conference on Information and Communication Technologies and Development, 2020
2017
Program Outcomes Assessment Method for Multi-Academic Accreditation Bodies: Computer Science Program as a Case Study.
Int. J. Emerg. Technol. Learn., 2017
2003
A naive Bayes model to predict coupling between seven transmembrane domain receptors, and G-proteins.
Bioinform., 2003