Khondokar Fida Hasan

Orcid: 0000-0002-8008-8203

According to our database1, Khondokar Fida Hasan authored at least 28 papers between 2018 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

On csauthors.net:

Bibliography

2024
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction.
J. Big Data, December, 2024

Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain.
IEEE Trans. Artif. Intell., September, 2024

Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor.
Expert Syst. Appl., March, 2024

A Framework for Migrating to Post-Quantum Cryptography: Security Dependency Analysis and Case Studies.
IEEE Access, 2024

2023
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning.
Expert Syst. Appl., November, 2023

Precise GNSS Time Synchronization With Experimental Validation in Vehicular Networks.
IEEE Trans. Netw. Serv. Manag., September, 2023

HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
Neural Networks, May, 2023

GRU-INC: An inception-attention based approach using GRU for human activity recognition.
Expert Syst. Appl., April, 2023

A dependable hybrid machine learning model for network intrusion detection.
J. Inf. Secur. Appl., 2023

A robust and clinically applicable deep learning model for early detection of Alzheimer's.
IET Image Process., 2023

Blockchain-Enabled Federated Learning Approach for Vehicular Networks.
CoRR, 2023

Migrating to Post-Quantum Cryptography: a Framework Using Security Dependency Analysis.
CoRR, 2023

Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users.
CoRR, 2023

Cybersecurity Attacks and Vulnerabilities During COVID-19.
Proceedings of the Advanced Information Networking and Applications, 2023

2022
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning.
Expert Syst. Appl., 2022

STRIDE-based Cyber Security Threat Modeling for IoT-enabled Precision Agriculture Systems.
CoRR, 2022

CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack.
Algorithms, 2022

Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder.
Algorithms, 2022

2021
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform.
CoRR, 2021

Long-Range Time-Synchronisation Methods in LoRaWAN-based IoT.
CoRR, 2021

Security, Privacy and Trust: Cognitive Internet of Vehicles.
CoRR, 2021

2020
Enhancing Vulnerable Road User Safety: A Survey of Existing Practices and Consideration for Using Mobile Devices for V2X Connections.
CoRR, 2020

An Experimental Validation of Accurate and Precise GNSS Time Synchronization in Vehicular Networks.
CoRR, 2020

A Feasibility Study on SNTP and SPoT Protocols on Time Synchronization in Internet of Things.
CoRR, 2020

2019
Cognitive Internet of Vehicles: Motivation, Layered Architecture and Security Issues.
CoRR, 2019

2018
Time synchronization in vehicular ad-hoc networks: A survey on theory and practice.
Veh. Commun., 2018

GNSS Time Synchronization in Vehicular Ad-Hoc Networks: Benefits and Feasibility.
IEEE Trans. Intell. Transp. Syst., 2018

Time synchronization in vehicular ad-hoc networks: A survey ontheory and practice.
CoRR, 2018


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