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A study on a probabilistic method for designing artificial neural networks for the formation of intelligent technology assemblies with high variability
VV Bukhtoyarov, VS Tynchenko, VA Nelyub, IS Masich… - Electronics, 2023 - mdpi.com
Currently, ensemble approaches based, among other things, on the use of non-network
models are powerful tools for solving data analysis problems in various practical …
models are powerful tools for solving data analysis problems in various practical …
Blockchain-based trusted tracking smart sensing network to prevent the spread of infectious diseases
Background Infectious diseases like COVID-19 pose major global health threats. Robust
surveillance systems are needed to swiftly detect and contain outbreaks. This study …
surveillance systems are needed to swiftly detect and contain outbreaks. This study …
An innovative ensemble model based on deep learning for predicting COVID-19 infection
X Su, Y Sun, H Liu, Q Lang, Y Zhang, J Zhang… - Scientific Reports, 2023 - nature.com
Nowadays, global public health crises are occurring more frequently, and accurate
prediction of these diseases can reduce the burden on the healthcare system. Taking …
prediction of these diseases can reduce the burden on the healthcare system. Taking …
Machine learning-based mortality prediction models for smoker COVID-19 patients
Background The large number of SARS-Cov-2 cases during the COVID-19 global pandemic
has burdened healthcare systems and created a shortage of resources and services. In …
has burdened healthcare systems and created a shortage of resources and services. In …
Machine learning algorithms for predicting COVID-19 mortality in Ethiopia
MS Alie, Y Negesse, K Kindie, DS Merawi - BMC Public Health, 2024 - Springer
Abstract Background Coronavirus disease 2019 (COVID-19), a global public health crisis,
continues to pose challenges despite preventive measures. The daily rise in COVID-19 …
continues to pose challenges despite preventive measures. The daily rise in COVID-19 …
[HTML][HTML] Cross-modal interaction and multi-source visual fusion for video generation in fetal cardiac screening
To address the limitation of preserving data for dynamic visualization in fetal ultrasound
screening, a novel framework is proposed to facilitate the generation of fetal four-chamber …
screening, a novel framework is proposed to facilitate the generation of fetal four-chamber …
A novel fractional accumulative grey model with GA-PSO optimizer and its application
R Huang, X Fu, Y Pu - Sensors, 2023 - mdpi.com
The prediction of cyber security situation plays an important role in early warning against
cyber security attacks. The first-order accumulative grey model has achieved remarkable …
cyber security attacks. The first-order accumulative grey model has achieved remarkable …
An intelligent neural network model to detect red blood cells for various blood structure classification in microscopic medical images
Biomedical image analysis plays a crucial role in enabling high-performing imaging and
various clinical applications. For the proper diagnosis of blood diseases related to red blood …
various clinical applications. For the proper diagnosis of blood diseases related to red blood …
End-to-end security enabled intelligent remote IoT monitoring system
Introduction: Internet of things (IoT) compose of million of devices connected together over
the internet. IoT plays a vital role now a days and especially in future, the most of the …
the internet. IoT plays a vital role now a days and especially in future, the most of the …
Enhanced Deep Neural Networks for Traffic Speed Forecasting Regarding Sustainable Traffic Management Using Probe Data from Registered Transport Vehicles on …
Early forecasting of vehicle flow speeds is crucial for sustainable traffic development and
establishing Traffic Speed Forecasting (TSF) systems for each country. While online …
establishing Traffic Speed Forecasting (TSF) systems for each country. While online …