Shaikh Afnan Birahim

ORCID: 0000-0003-4358-2939
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About
Contact & Profiles
Research Areas
  • Advanced Technologies in Various Fields
  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • AI in cancer detection
  • Lung Cancer Diagnosis and Treatment
  • Network Security and Intrusion Detection

University of Dhaka
2025

University of Glasgow
2025

Wireless Sensor Networks (WSN) play a pivotal role in various domains, including monitoring, security, and data transmission. However, their susceptibility to intrusions poses significant challenge. This paper proposes novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), K-Nearest Neighbors (KNN) models enhance the accuracy reliability of intrusion detection WSNs. The system...

10.1109/access.2025.3528341 article EN cc-by IEEE Access 2025-01-01

Background: Examining chest radiograph images (CXR) is an intricate and time-consuming process, sometimes requiring the identification of many anomalies at same time. Lung segmentation key to overcoming this challenge through different deep learning (DL) techniques. Many researchers are working improve performance efficiency lung models. This article presents a DL-based approach accurately identify mask region in CXR assist radiologists recognizing early signs high-risk diseases. Methods:...

10.3390/diagnostics15070854 article EN cc-by Diagnostics 2025-03-27
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