Empirical evaluation of classifiers for breast cancer diagnosis

HM Darya, AB Nassif, M AlShabi - Smart Biomedical and …, 2022 - spiedigitallibrary.org
Breast cancer is the second most type of cancer diagnosed in women; it is also the leading
cause of cancer caused deaths in women after lung cancer. Breast lumps can be classified …

Performance evolution for sentiment classification using machine learning algorithm

F Hassan, NA Qureshi, MZ Khan… - Journal of Applied …, 2023 - polipapers.upv.es
Abstract Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems
to adapt to their environment based on past experiences. Machine Learning (ML) and …

Model-based prediction of water levels for the Great Lakes: a comparative analysis

O Kurt - Earth Science Informatics, 2024 - Springer
This comprehensive study addresses the correlation between water levels and
meteorological features, including air temperature, evaporation, and precipitation, to …

Optimized Ensemble Model Towards Secured Industrial IoT Devices

MN Injadat - 2023 24th International Arab Conference on …, 2023 - ieeexplore.ieee.org
The continued growth in the deployment of Internet-of-Things (IoT) devices has been fueled
by the increased connectivity demand, particularly in industrial environments. However, this …

An automated data engineering pipeline for anomaly detection of IoT sensor data

X Li, B Zou - arXiv preprint arXiv:2109.13828, 2021 - arxiv.org
The rapid development in the field of System of Chip (SoC) technology, Internet of Things
(IoT), cloud computing, and artificial intelligence has brought more possibilities of improving …

Systematic Analysis based on Conflux of Machine Learning and Internet of Things using Bibliometric analysis.

A Chahal, SR Addula, A Jain… - Journal of Intelligent …, 2024 - search.ebscohost.com
IoT devices produce a gigantic amount of data and it has grown exponentially in previous
years. To get insights from this multi-property data, machine learning has proved its worth …

Securing Smart Homes Using Hybrid Stacking Ensemble Deep Learning-Enabled Framework

A Moubayed, MN Injadat… - … on Electrical, Energy …, 2023 - ieeexplore.ieee.org
The added deployment of Internet-of-Things (IoT) devices in various environments has led to
people increasingly adding this technology to their homes to make them more comfortable …

Optimized machine learning models towards intelligent systems

MNAM Injadat - 2020 - search.proquest.com
The rapid growth of the Internet and related technologies has led to the collection of large
amounts of data by individuals, organizations, and society in general [1]. However, this often …

Decentralised and privacy preserving machine learning for multiple distributed data resources

M Alkhozae, X Zeng - UK Workshop on Computational Intelligence, 2021 - Springer
There are many issues related to distributed data resources, such as data transfer
restrictions, privacy, and computation and communication costs. It brings challenges for …

Inteligencia artificial como potencia de herramienta en salud

LG Jiménez Herrera - Infodir, 2021 - scielo.sld.cu
Objetivo: Incentivar la aplicación práctica de la inteligencia artificial como potencial
herramienta en salud mediante la construcción de nuevo conocimiento. Desarrollo: Se …