Ahmad Naeem
Orcid: 0000-0001-9705-386X
According to our database1,
Ahmad Naeem
authored at least 9 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
SkinDWNet: a novel deep learning model for multiclass classification of skin cancers using dermoscopic images.
Multim. Syst., August, 2025
ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.
J. Imaging, 2025
Blockchain-enabled federated learning with capsule network and incremental extreme learning machines for gastrointestinal bleeding detection in wireless capsule endoscopy.
Eng. Appl. Artif. Intell., 2025
2024
Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions.
Multim. Tools Appl., 2024
2023
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.
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.
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.
Sensors, January, 2023
2022
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.
Sensors, 2022
2020
Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities.
IEEE Access, 2020