Personal information

Emails & domains

Verified email addresses

Websites & social links

https://www.researchgate.net/profile/Dalia_Ezzat4
https://scholar.google.com/citations?hl=en&authuser=1&user=xjB2O0gAAAAJ

Other IDs

Scopus Author ID: 57215534680
Scopus Author ID: 57211893277

Keywords

Deep Learning, Machine Learning, Intelligent Optimization

Countries

Egypt

Biography

Dalia Ezzat received the B.Sc degree in information technology from the Faculty of Computers and Artificial Intelligence, Cairo University, Egypt. Recently, she received an M.Sc degree in information technology from the Faculty of Computers and Artificial Intelligence, Cairo University, Egypt in 2020. Her current research interests are in the areas of Artificial intelligence, deep learning, machine learning, intelligent optimization, Computer Vision, Image Processing, and Pattern Recognition.

Activities

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Education and qualifications (1)

Cairo University Faculty of Computers and Artificial Intelligence: Giza, EG

(information technology )
Education
Source: Self-asserted source
Dalia Ezzat

Works (9)

An interpretable Bayesian deep learning-based approach for sustainable clean energy

Neural Computing and Applications
2024-09 | Journal article
DOI: 10.1007/s00521-024-10008-5
Contributors: Dalia Ezzat; Eman Ahmed; Mona Soliman; Aboul Ella Hassanien
Source: check_circle
Crossref

Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system

Applied Soft Computing
2023-11 | Journal article
DOI: 10.1016/j.asoc.2023.110810
Contributors: Dalia Ezzat; Aboul Ella Hassanien
Source: check_circle
Crossref

An optimized explainable artificial intelligence approach for sustainable clean water

Environment, Development and Sustainability
2023-08-10 | Journal article
DOI: 10.1007/s10668-023-03712-0
Contributors: Dalia Ezzat; Mona Soliman; Eman Ahmed; Aboul Ella Hassanien
Source: check_circle
Crossref

Applications of Deep Learning in Predicting Natural Disasters Concurrent with the COVID-19 Pandemic: Short Review and Recommendations

2021 | Book chapter
DOI: 10.1007/978-3-030-72933-2_7
Contributors: Dalia Ezzat; Sara Abdelghafar; Aboul Ella Hassanien
Source: check_circle
Crossref

An Optimized Deep Convolutional Neural Network to Identify Nanoscience Scanning Electron Microscope Images Using Social Ski Driver Algorithm

Advances in Intelligent Systems and Computing
2020 | Book chapter
DOI: 10.1007/978-3-030-31129-2_45
Part of ISBN: 9783030311285
Part of ISBN: 9783030311292
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Dalia Ezzat
grade
Preferred source (of 2)‎

Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach

IEEE Access
2020 | Journal article
DOI: 10.1109/access.2020.2970210
Part of ISSN: 2169-3536
Source: Self-asserted source
Dalia Ezzat
grade
Preferred source (of 3)‎

Transfer Learning with a Fine-Tuned CNN Model for Classifying Augmented Natural Images

Advances in Intelligent Systems and Computing
2020 | Book chapter
DOI: 10.1007/978-981-15-1286-5_74
Part of ISBN: 9789811512858
Part of ISBN: 9789811512865
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Dalia Ezzat
grade
Preferred source (of 2)‎

An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

Applied Soft Computing
2020-09 | Journal article
DOI: 10.1016/j.asoc.2020.106742
Part of ISSN: 1568-4946
Source: Self-asserted source
Dalia Ezzat
grade
Preferred source (of 2)‎

An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis

Swarm and Evolutionary Computation
2020-02 | Journal article
DOI: 10.1016/j.swevo.2019.100616
Part of ISSN: 2210-6502
Source: Self-asserted source
Dalia Ezzat
grade
Preferred source (of 2)‎

Peer review (1 review for 1 publication/grant)

Review activity for Applied soft computing. (1)
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