Ashraf Uddin

Orcid: 0000-0002-4316-4975

Affiliations:
  • Federation University, Ballarat, VIC, Australia
  • Jagannath University, Department of Computer Science and Engineering, Dhaka, Bangladesh (former)
  • University of Dhaka, Faculty of Science, Bangladesh (former)


According to our database1, Ashraf Uddin authored at least 40 papers between 2013 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Investigating key genes and biological pathways for therapeutic drug compound identification and survival analysis of chronic lymphocytic leukemia and hepatitis B associated hepatocellular carcinoma using system biology approach.
Netw. Model. Anal. Health Informatics Bioinform., December, 2024

An integrated multistage ensemble machine learning model for fraudulent transaction detection.
J. Big Data, December, 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

Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications.
J. Big Data, December, 2024

Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search.
Cybersecur., December, 2024

Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework.
Sensors, July, 2024

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs.
Int. J. Inf. Sec., June, 2024

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.
Comput. Biol. Medicine, January, 2024

BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture.
Int. J. Intell. Syst., 2024

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique.
CoRR, 2024

A Bioinformatic Approach Validated Utilizing Machine Learning Algorithms to Identify Relevant Biomarkers and Crucial Pathways in Gallbladder Cancer.
CoRR, 2024

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma.
CoRR, 2024

Priority based energy and load aware routing algorithms for SDN enabled data center network.
Comput. Networks, 2024

2023
4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome.
Comput. Biol. Chem., December, 2023

A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture.
Intell. Syst. Appl., November, 2023

An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes.
J. Inf. Secur. Appl., November, 2023

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

Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture.
Sensors, October, 2023

Smart Contract-Based Access Control Framework for Internet of Things Devices.
Comput., October, 2023

A robust hybrid machine learning model for Bengali cyber bullying detection in social media.
Nat. Lang. Process. J., 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

Device Agent Assisted Blockchain Leveraged Framework for Internet of Things.
IEEE Access, 2023

2022
Automatic driver distraction detection using deep convolutional neural networks.
Intell. Syst. Appl., 2022

Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture.
Intell. Syst. Appl., 2022

A survey of blockchain-based IoT eHealthcare: Applications, research issues, and challenges.
Internet Things, 2022

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

Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach.
IEEE Access, 2022

2021
An efficient hybrid system for anomaly detection in social networks.
Cybersecur., 2021

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
Comput. Biol. Medicine, 2021

2020
Blockchain leveraged decentralized IoT eHealth framework.
Internet Things, 2020

Rapid health data repository allocation using predictive machine learning.
Health Informatics J., 2020

Developing an Intelligent System for Recommending Products.
ICO, 2020

Dynamically Recommending Repositories for Health Data: a Machine Learning Model.
Proceedings of the Australasian Computer Science Week, 2020

2019
A Decentralized Patient Agent Controlled Blockchain for Remote Patient Monitoring.
Proceedings of the 2019 International Conference on Wireless and Mobile Computing, 2019

An Efficient Selective Miner Consensus Protocol in Blockchain Oriented IoT Smart Monitoring.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Blockchain Leveraged Task Migration in Body Area Sensor Networks.
Proceedings of the 25th Asia-Pacific Conference on Communications, 2019

2018
Continuous Patient Monitoring With a Patient Centric Agent: A Block Architecture.
IEEE Access, 2018

2016
Noise aware level based routing protocol for underwater sensor networks.
Proceedings of the 2016 International Workshop on Computational Intelligence (IWCI 2016), 2016

2013
Link Expiration Time-Aware Routing Protocol for UWSNs.
J. Sensors, 2013


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