Mohammed M. Abdelsamea

Birmingham City University

United Kingdom

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Articles (15)

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2025

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2024

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2023

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2021

Collaborators (5)

Aliyuda Ali

Lecturer in Computer Science and Software Engineering

Sheffield Hallam University

UNITED KINGDOM

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Hansi Hettiarachchi

Lecturer in Security and Protection Science

University of Lancaster

UNITED KINGDOM

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Moloud Abdar

Deakin University

AUSTRALIA

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Mohamed Gaber

Professor in Data Analytics

Birmingham City University

UNITED KINGDOM

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Emad A Rakha

UNITED KINGDOM

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Mohammed M. Abdelsamea

Research Interests

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Articles (15)

CLOG-CD: Curriculum Learning Based on Oscillating Granularity of Class Decomposed Medical Image Classification

DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification

From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks

AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification

SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer

A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags

Deep multi-locality convolutional neural network for DDoS detection in smart home IoT.

From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks

The power of progressive active learning in floorplan images for energy assessment

A survey on artificial intelligence in histopathology image analysis

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images

Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining

4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection

Collaborators (5)

Aliyuda Ali

Hansi Hettiarachchi

Moloud Abdar

Mohamed Gaber

Emad A Rakha

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