Mohamed Gaber

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Professor in Data Analytics

Birmingham City University

United Kingdom

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Recent Grants

Grant: Close

(Wattzup - a context-aware residential demand-response system for smart energy management)

Open Date: 2010-01-01

Close Date: 2013-01-01

Grant: Close

(Adaptive data stream processing in heterogeneous distributed computing environments using real-time context)

Open Date: 2008-01-01

Close Date: 2010-12-31

Articles (12)

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Year:

2021

Collaborators (6)

Mohammed M. Abdelsamea

Birmingham City University

UNITED KINGDOM

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Jagdev Bhogal

Birmingham City University

UNITED KINGDOM

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Raja Muhammad Atif Azad

Reader in Evolutionary Computing and Machine Learning

Birmingham City University

UNITED KINGDOM

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Moloud Abdar

Deakin University

AUSTRALIA

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Yevgeniya Kovalchuk

University of Reading

UNITED KINGDOM

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Wenyan Wu

Professor in Smart Sensing Technologies

Birmingham City University

UNITED KINGDOM

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Mohamed Gaber

Research Interests

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Contact this professor

Recent Grants

Articles (12)

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

FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks

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

A survey on artificial intelligence in histopathology image analysis

PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes

Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study

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

A Time-Series Self-Supervised Learning Approach to Detection of Cyber-physical Attacks in Water Distribution Systems

Agent-Based Simulations Using Genetic Algorithm Calibration: A Children’s Services Application

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

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

Scholarly data mining: A systematic review of its applications

Collaborators (6)

Mohammed M. Abdelsamea

Jagdev Bhogal

Raja Muhammad Atif Azad

Moloud Abdar

Yevgeniya Kovalchuk

Wenyan Wu

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