Adil Omar Khadidos

Orcid: 0000-0003-3297-3715

According to our database1, Adil Omar Khadidos authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Capuchin Search Algorithm With Deep Learning-Based Data Edge Verification for Blockchain-Assisted IoT Environment.
IEEE Access, 2024

2023
An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems.
J. Cloud Comput., December, 2023

Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique.
Int. J. Comput. Intell. Syst., December, 2023

Improved Deep Learning-Based Vehicle Detection for Urban Applications Using Remote Sensing Imagery.
Remote. Sens., October, 2023

Binary Hunter-Prey Optimization with Machine Learning - Based Cybersecurity Solution on Internet of Things Environment.
Sensors, August, 2023

Connotation of fuzzy logic system in Underwater communication systems for navy applications with data indulgence route.
Sustain. Comput. Informatics Syst., April, 2023

RLIS: Resource Limited Improved Security Beyond Fifth-Generation Networks Using Deep Learning Algorithms.
IEEE Open J. Commun. Soc., 2023

Deep Semantic Feature Reduction for Efficient Remote Sensing Image Retrieval.
IEEE Access, 2023

Computer Aided Detection of Major Depressive Disorder (MDD) Using Electroencephalogram Signals.
IEEE Access, 2023

2022
Healthcare Data Security Using IoT Sensors Based on Random Hashing Mechanism.
J. Sensors, 2022

Reconnoitering the significance of securty using multiple cloud environments for conveyance applications with blowfish algorithm.
J. Cloud Comput., 2022

An Intelligent Security Framework Based on Collaborative Mutual Authentication Model for Smart City Networks.
IEEE Access, 2022

2021
Bayer image demosaicking and denoising based on specialized networks using deep learning.
Multim. Syst., 2021

2020
Detection of Potentially Compromised Computer Nodes and Clusters Connected on a Smart Grid, Using Power Consumption Data.
Sensors, 2020


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