15 citations · 72 across the 7 of their papers we have counts for
7 papers
Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
Gazi Tanbhir, Md. Farhan Shahriyar, Abdullah Md Raihan Chy
Pneumonia poses a significant global health challenge, demanding accurate and timely diagnosis. While deep learning, particularly Convolutional Neural Networks (CNNs), has shown pr…
Quantum Machine Learning for Image Classification: A Hybrid Model of Residual Network with Quantum Support Vector Machine
Md. Farhan Shahriyar, Gazi Tanbhir, Abdullah Md Raihan Chy
Recently, there has been growing attention on combining quantum machine learning (QML) with classical deep learning approaches, as computational techniques are key to improving the…
Advancements and Challenges in Quantum Machine Learning for Medical Image Classification: A Comprehensive Review
Md Farhan Shahriyar, Gazi Tanbhir
Quantum technologies are rapidly advancing as image classification tasks grow more complex due to large image volumes and extensive parameter updates required by traditional machin…
Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
Nizo Jaman Shohan, Gazi Tanbhir, Faria Elahi +2
The distributed denial-of-service (DDoS) attack stands out as a highly formidable cyber threat, representing an advanced form of the denial-of-service (DoS) attack. A DDoS attack i…
Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
Gazi Tanbhir, Md. Farhan Shahriyar
Dementia, a neurological disorder impacting millions globally, presents significant challenges in diagnosis and patient care. With the rise of privacy concerns and security threats…
PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier
Md. Farhan Shahriyar, Gazi Tanbhir, Abdullah Md Raihan Chy +2
Phishing URL detection is crucial in cybersecurity as malicious websites disguise themselves to steal sensitive infor mation. Traditional machine learning techniques struggle to pe…