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Hamad Naeem

Has grant

Assistant Professor

king faisal university

Saudi Arabia

Research Interests

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Professors in Medical Imaging

Recent Grants

Grant: Close

Zhoukou Normal University High Level Talent Scientific Research Fund

Open Date: 2021-07-01

Close Date: 2024-06-01

Articles (15)

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2026

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2023

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2023

Collaborators (3)

Muhammad Faheem

University of Vaasa

FINLAND

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Eatedal Alabdulkreem

Associate Professor

princess nourah bint abdulrahman university

SAUDI ARABIA

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Amjad Alsirhani

Assistant Professor

jouf university

SAUDI ARABIA

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Hamad Naeem

Research Interests

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Recent Grants

Articles (15)

Adaptive Federated Reinforcement Learning With Temporal Hybrid Deep Model for Consumer Internet of Vehicles Intrusion Detection

Adversarial-aware federated learning with dynamic client weighting for healthcare record security

Securing smart city Internet of Vehicles via transformer integrated consensus ensemble learning and bio-inspired metaheuristics

Cyber-attacks: Securing ship navigation systems using multi-layer cross-validation defense

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data

Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization

Exploring Advanced Quantum Ensemble for Industrial Control Systems Security

Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization

P2FL: Privacy-Preserving Federated Learning Approach for Healthcare Informatics at the Edge

Robust Spatiotemporal Lane Detection Model

Augmenting Internet of Medical Things Security: Deep Ensemble Integration and Methodological Fusion

Data Mining for Uncertain Data Based on Difference Degree of Concept Lattice

FHG-PR: a hybridized fuzzy-AHP and game theory model for assessing privacy risk on social media platforms

Evaluation of Machine Learning Models for Smart Grid Parameters: Performance Analysis of ARIMA and Bi-LSTM

Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification

Collaborators (3)

Muhammad Faheem

Eatedal Alabdulkreem

Amjad Alsirhani

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