Muhammad Adnan Khan

Assistant Professor

Gachon University

South Korea

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About

Dr. Muhammad Adnan Khan is an Assistant Professor at Gachon University in South Korea. His research focuses on leveraging deep learning and artificial intelligence in medical diagnostics, security, and financial fraud detection. Recent publications include work on digital histologic cancer detection and malware detection using advanced ensemble learning techniques. He also explores the application of AI in enhancing the accuracy of classifications in various health conditions, including Alzheimer's and Parkinson's diseases.

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Collaborators (4)

Ivan Andonovic

PROFESSOR

University Of Strathclyde

UNITED KINGDOM

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Chan Yeob Yeun

UNITED ARAB EMIRATES

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Dr. Munir Ahmad

Professor

Korea University

SOUTH KOREA

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Chan-Su Lee

Yeungnam University

SOUTH KOREA

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Muhammad Adnan Khan

Research Interests

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About

Articles (20)

Abstractive Text Summarization in Arabic-Like Script Using Multi-Encoder Architecture and Semantic Extraction Techniques

Optimizing digital histologic colorectal cancer detection using MobileNet-based transfer learning

SNEL-DFF: Android malware detection using Siamese networks with ensemble learning

SNEL-DFF: Android malware detection using Siamese networks with ensemble learning

Secure and Transparent Banking: Explainable AI-Driven Federated Learning Model for Financial Fraud Detection

A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets

A deep learning based model for diabetic retinopathy grading

A fine-tuned convolutional neural network model for accurate Alzheimer's disease classification

A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI

Blockchain enabled IoMT and transfer learning for ocular disease classification

Fused Weighted Federated Deep Extreme Machine Learning Based on Intelligent Lung Cancer Disease Prediction Model for Healthcare 5.0

Indexing in WoT to Locate Indoor Things

Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

Classification and Detection of COVID-19 and Other Chest-Related Diseases Using Transfer Learning

A Novel Grayscale Image Encryption Scheme Based on the Block-Level Swapping of Pixels and the Chaotic System

IoMT-Based Osteosarcoma Cancer Detection in Histopathology Images Using Transfer Learning Empowered with Blockchain, Fog Computing, and Edge Computing

Blockchain-Based Smart Home Networks Security Empowered with Fused Machine Learning

Performance Analysis of State-of-the-Art CNN Architectures for LUNA16

Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning

Collaborators (4)

Ivan Andonovic

Chan Yeob Yeun

Dr. Munir Ahmad

Chan-Su Lee

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