Pneumonia detection on chest X-ray images using ensemble of deep convolutional neural networks

A Mabrouk, RP Diaz Redondo, A Dahou… - Applied Sciences, 2022 - mdpi.com
Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …

A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform

YYF Panduman, N Funabiki, ED Fajrianti, S Fang… - Information, 2024 - mdpi.com
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …

An efficient artificial rabbits optimization based on mutation strategy for skin cancer prediction

M Abd Elaziz, A Dahou, A Mabrouk… - Computers in Biology …, 2023 - Elsevier
Accurate skin lesion diagnosis is critical for the early detection of melanoma. However, the
existing approaches are unable to attain substantial levels of accuracy. Recently, pre-trained …

Optimization of cnn using modified honey badger algorithm for sleep apnea detection

AK Abasi, M Aloqaily, M Guizani - Expert Systems with Applications, 2023 - Elsevier
Sleep Apnea (SA) is the most prevalent breathing sleep problem, and if left untreated, it can
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …

Image classification of wheat rust based on ensemble learning

Q Pan, M Gao, P Wu, J Yan, MAE AbdelRahman - Sensors, 2022 - mdpi.com
Rust is a common disease in wheat that significantly impacts its growth and yield. Stem rust
and leaf rust of wheat are difficult to distinguish, and manual detection is time-consuming …

A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management

A Dahou, A Mabrouk, AA Ewees, MA Gaheen… - … Forecasting and Social …, 2023 - Elsevier
Social media allows the spread of vital information regarding crises and emergencies. Thus,
emergency management systems can benefit from social media because they can be used …

Optimizing fake news detection for Arabic context: A multitask learning approach with transformers and an enhanced Nutcracker Optimization Algorithm

A Dahou, AA Ewees, FA Hashim… - Knowledge-Based …, 2023 - Elsevier
The rapid proliferation of news and posts across social media platforms has spawned a
concerning wave of misinformation. Disseminating false information and news significantly …

Optimal skin cancer detection model using transfer learning and dynamic-opposite hunger games search

A Dahou, AO Aseeri, A Mabrouk, RA Ibrahim… - Diagnostics, 2023 - mdpi.com
Recently, pre-trained deep learning (DL) models have been employed to tackle and
enhance the performance on many tasks such as skin cancer detection instead of training …

[HTML][HTML] Fractional order adaptive hunter-prey optimizer for feature selection

AM AbdelAty, D Yousri, S Chelloug, M Alduailij… - Alexandria Engineering …, 2023 - Elsevier
Proposing a reliable feature selection approach is the primary stone for endorsing the
prediction performance; therefore, this paper proposes an enhanced optimization technique …

Modified Metaheuristics with Transfer Learning Based Insect Pest Classification for Agricultural Crops.

S Yonbawi, S Alahmari, R Daniel… - … Systems Science & …, 2023 - search.ebscohost.com
Crop insect detection becomes a tedious process for agronomists because a substantial part
of the crops is damaged, and due to the pest attacks, the quality is degraded. They are the …