Fog computing service in the healthcare monitoring system for managing the real‐time notification

A Elhadad, F Alanazi, AI Taloba… - Journal of Healthcare …, 2022 - Wiley Online Library
A new computing paradigm that has been growing in computing systems is fog computing.
In the healthcare industry, Internet of Things (IoT) driven fog computing is being developed …

An IoT-fuzzy intelligent approach for holistic management of COVID-19 patients

MZU Rahman, MA Akbar, V Leiva, C Martin-Barreiro… - Heliyon, 2024 - cell.com
In this study, an internet of things (IoT)-enabled fuzzy intelligent system is introduced for the
remote monitoring, diagnosis, and prescription of treatment for patients with COVID-19. The …

[HTML][HTML] Analysis of ECG-based arrhythmia detection system using machine learning

S Dhyani, A Kumar, S Choudhury - MethodsX, 2023 - Elsevier
Abstract The 3D Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) are
used in this study to analyze and characterize Electrocardiogram (ECG) signals. This …

Analysis of e‐Mail Spam Detection Using a Novel Machine Learning‐Based Hybrid Bagging Technique

A Rayan - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
e‐mail service providers and consumers find it challenging to distinguish between spam and
nonspam e‐mails. The purpose of spammers is to spread false information by sending …

[HTML][HTML] Optimized recurrent neural network mechanism for olive leaf disease diagnosis based on wavelet transform

HH Alshammari, H Alkhiri - Alexandria Engineering Journal, 2023 - Elsevier
Plant diseases can significantly reduce food and agricultural production, leading to major
quality, quantity, and economic losses. Plant disease deficits are usually reduced by early …

[HTML][HTML] Adapting user experience with reinforcement learning: Personalizing interfaces based on user behavior analysis in real-time

A Khamaj, AM Ali - Alexandria Engineering Journal, 2024 - Elsevier
Developing a dynamic, personalized user interface that changes in real-time in response to
user behavior is the goal. This paper supplies a modern method to beautify consumers …

ECG waveform generation from radar signals: A deep learning perspective

FA Chowdhury, MK Hosain, MSB Islam… - Computers in Biology …, 2024 - Elsevier
Cardiovascular diagnostics relies heavily on the ECG (ECG), which reveals significant
information about heart rhythm and function. Despite their significance, traditional ECG …

[HTML][HTML] Parameter estimation of a model using maximum likelihood function and Bayesian analysis through moment of order statistics

SMA Aljeddani, MA Mohammed - Alexandria Engineering Journal, 2023 - Elsevier
Due to advancements in Bayesian modeling, the likelihood-free posterior estimate is now
feasible. These estimation methods are crucial for a deeper understanding of simulation …

Significance of Features from Biomedical Signals in Heart Health Monitoring

MMRK Mamun - BioMed, 2022 - mdpi.com
Cardiovascular diseases require extensive diagnostic tests and frequent physician visits.
With the advance in signal processing and sensor technology, now it is possible to acquire …

[HTML][HTML] Bayesian estimation of the Pareto model based on type-II censoring data by employing non-linear programming

LA AL-Essa, FS Al-Duais, W Aydi… - Alexandria Engineering …, 2024 - Elsevier
The main goal of this article is to determine the optimally weighted coefficients (Ω 1 and Ω 2)
of the balanced loss function of the form. L Κ, Ω, ξ o Ψ (σ), ξ= Ω 1 γ σ Κ ξ o, ξ+ Ω 2 γ σ Κ Ψ (σ) …