Ahmad Naeem

According to our database, Ahmad Naeem authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Skin cancer classification using a borderline-SMOTE enhanced neural network model on dermoscopic images.

Mui-Zzud-Din, Ahmad Naeem, Hassaan Malik, Muhammad Arsalan, Abbas Jafar, Usman Ali

Biomed. Signal Process. Control., 2026

2025

SkinDWNet: a novel deep learning model for multiclass classification of skin cancers using dermoscopic images.

Ahmad Naeem, Hassaan Malik, Mui-Zzud-Din, Abolghasem Sadeghi-Niaraki, Daesik Jeong, Rizwan Ali Naqvi

Multim. Syst., August, 2025

ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.

Afraz Danish Ali Qureshi, Hassaan Malik, Ahmad Naeem, Syeda Nida Hassan, Daesik Jeong, Rizwan Ali Naqvi

J. Imaging, 2025

Blockchain-enabled federated learning with capsule network and incremental extreme learning machines for gastrointestinal bleeding detection in wireless capsule endoscopy.

Fizza Hasan, Ahmad Naeem, Hassaan Malik, Rizwan Ali Naqvi, Woong-Kee Loh

Eng. Appl. Artif. Intell., 2025

2024

Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions.

Nimra Saeed, Hassaan Malik, Ahmad Naeem, Umair Bashir

Multim. Tools Appl., 2024

Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images.

Hassaan Malik, Ahmad Naeem, Abolghasem Sadeghi-Niaraki, Rizwan Ali Naqvi, Seung-Won Lee

Complex Intell. Syst., 2024

2023

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.

Shafia Riaz, Ahmad Naeem, Hassaan Malik, Rizwan Ali Naqvi, Woong-Kee Loh

Sensors, October, 2023

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.

Hassaan Malik, Tayyaba Anees, Mui-Zzud-Din, Ahmad Naeem

Multim. Tools Appl., April, 2023

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.

Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, Woong-Kee Loh

Sensors, January, 2023

Deep learned vectors' formation using auto-correlation, scaling, and derivations with CNN for complex and huge image retrieval.

Ahmad Naeem, Tayyaba Anees, Khawaja Tehseen Ahmed, Rizwan Ali Naqvi, Shabir Ahmad, Taegkeun Whangbo

Complex Intell. Syst., 2023

2022

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.

Ahmad Naeem, Tayyaba Anees, Makhmoor Fiza, Rizwan Ali Naqvi, Seung-Won Lee

Sensors, 2022

2020

Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities.

Ahmad Naeem, Muhammad Shoaib Farooq, Adel Khelifi, Adnan Abid

IEEE Access, 2020