Nojood O. Aljehane

Orcid: 0000-0001-9877-7456

According to our database1, Nojood O. Aljehane authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
CDRIME-MTIS: An enhanced rime optimization-driven multi-threshold segmentation for COVID-19 X-ray images.
Comput. Biol. Medicine, February, 2024

Multi-step influenza forecasting through singular value decomposition and kernel ridge regression with MARCOS-guided gradient-based optimization.
Comput. Biol. Medicine, February, 2024

Dynamic resource management in integrated NOMA terrestrial-satellite networks using multi-agent reinforcement learning.
J. Netw. Comput. Appl., January, 2024

Efficient resource allocation and user association in NOMA-enabled vehicular-aided HetNets with high altitude platforms.
Comput. Commun., 2024

2023
Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processing.
Internet Things, December, 2023

OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection.
Appl. Soft Comput., October, 2023

Enhanced Tunicate Swarm Optimization with Transfer Learning Enabled Medical Image Analysis System.
Comput. Syst. Sci. Eng., 2023

2022
An image encryption algorithm based on new generalized fusion fractal structure.
Inf. Sci., 2022

Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches.
Expert Syst. Appl., 2022

Big data analytics with oppositional moth flame optimization based vehicular routing protocol for future smart cities.
Expert Syst. J. Knowl. Eng., 2022

2021
An optimal segmentation with deep learning based inception network model for intracranial hemorrhage diagnosis.
Neural Comput. Appl., 2021

A self-embedding technique for tamper detection and localization of medical images for smart-health.
Multim. Tools Appl., 2021

2018
Grammar-based preprocessing for PPM compression and classification.
PhD thesis, 2018


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