Face mask detection using deep convolutional neural network and multi-stage image processing

M Umer, S Sadiq, RM Alhebshi, S Alsubai… - Image and Vision …, 2023 - Elsevier
Face mask detection has several applications including real-time surveillance, biometrics,
etc. Face mask detection is also useful for surveillance of the public to ensure face mask …

Combining CNN features with voting classifiers for optimizing performance of brain tumor classification

N Alturki, M Umer, A Ishaq, N Abuzinadah… - Cancers, 2023 - mdpi.com
Simple Summary This study presents a hybrid model for brain tumor detection. Contrary to
manual featur extraction, features extracted from a convolutional neural network are used to …

Improving prediction of cervical cancer using knn imputed smote features and multi-model ensemble learning approach

H Karamti, R Alharthi, AA Anizi, RM Alhebshi… - Cancers, 2023 - mdpi.com
Simple Summary This paper presents a cervical cancer detection approach where the KNN
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …

A novel approach for breast cancer detection using optimized ensemble learning framework and XAI

RM Munshi, L Cascone, N Alturki, O Saidani… - Image and Vision …, 2024 - Elsevier
Breast cancer (BC) is a common and highly lethal ailment. It stands as the second leading
contributor to cancer-related deaths in women worldwide. The timely identification of this …

[HTML][HTML] Water-quality prediction based on H2O AutoML and explainable AI techniques

HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani… - Water, 2023 - mdpi.com
Rapid expansion of the world's population has negatively impacted the environment, notably
water quality. As a result, water-quality prediction has arisen as a hot issue during the last …

Temporal instability of motorcycle crash fatalities on local roadways: A random parameters approach with heterogeneity in means and variances

T Champahom, C Se, S Jomnonkwao… - International journal of …, 2023 - mdpi.com
Motorcycle accidents can impede sustainable development due to the high fatality rate
associated with motorcycle riders, particularly in developing countries. Although there has …

Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence

A Aldrees, S Ojo, J Wanliss, M Umer… - Frontiers in …, 2024 - frontiersin.org
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by notable
challenges in cognitive function, understanding language, recognizing objects, interacting …

Enhancing prediction of brain tumor classification using images and numerical data features

O Saidani, T Aljrees, M Umer, N Alturki, A Alshardan… - Diagnostics, 2023 - mdpi.com
Brain tumors, along with other diseases that harm the neurological system, are a significant
contributor to global mortality. Early diagnosis plays a crucial role in effectively treating brain …

Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning

T Aljrees - Plos one, 2024 - journals.plos.org
Cervical cancer is a leading cause of women's mortality, emphasizing the need for early
diagnosis and effective treatment. In line with the imperative of early intervention, the …

Role of convolutional features and machine learning for predicting student academic performance from MOODLE data

N Abuzinadah, M Umer, A Ishaq, A Al Hejaili, S Alsubai… - Plos one, 2023 - journals.plos.org
Predicting student performance automatically is of utmost importance, due to the substantial
volume of data within educational databases. Educational data mining (EDM) devises …