[图书][B] Machine Learning for Cyber Physical System: Advances and Challenges
The integration of computers and physical systems, known as a cyber-physical system
(CPS), orchestrates a synergy between embedded computers and physical processes. This …
(CPS), orchestrates a synergy between embedded computers and physical processes. This …
Diagnostic of patients with covid-19 pneumonia using passive medical microwave radiometry (mwr)
B Emilov, A Sorokin, M Seiitov, BT Kobayashi… - Diagnostics, 2023 - mdpi.com
Background. Chest CT is widely regarded as a dependable imaging technique for detecting
pneumonia in COVID-19 patients, but there is growing interest in microwave radiometry …
pneumonia in COVID-19 patients, but there is growing interest in microwave radiometry …
[PDF][PDF] Diagnostic of Patients with COVID-19 Pneumonia Using Passive Medical Microwave Radiometry (MWR). Diagnostics 2023, 13, 2585
B Emilov, A Sorokin, M Seiitov, BT Kobayashi… - 2023 - academia.edu
Background. Chest CT is widely regarded as a dependable imaging technique for detecting
pneumonia in COVID-19 patients, but there is growing interest in microwave radiometry …
pneumonia in COVID-19 patients, but there is growing interest in microwave radiometry …
Emerging technologies to combat the COVID-19 pandemic
The coronavirus disease (COVID-19) pandemic has caused a major health crisis and
quarantined most of the planet's population. It has led to an urgent reorganization of the …
quarantined most of the planet's population. It has led to an urgent reorganization of the …
[PDF][PDF] COVID-19 prediction through CNN and LSTM deep learning models
V Shinde, N Bogiri - 2022 - easychair.org
The advances in the medical field have been crucial for the purpose of attaining the
improvement in the health of the masses. A healthy populous for a nation has the ability to …
improvement in the health of the masses. A healthy populous for a nation has the ability to …
[PDF][PDF] Investigation of parallelism possibilities for forecasting using quasilinear recurrence equation
T Makarovskikh, M Abotaleb… - … технологии (ПаВТ'2022), 2022 - researchgate.net
The research considers the investigation of parallel version of identification algorithm for
parameters of quasilinear recurrence equation, since running this algorithm needs using …
parameters of quasilinear recurrence equation, since running this algorithm needs using …
An insight into applications of deep learning in neuroimaging
Deep learning (DL) has been widely used for clinical applications like neuroimaging.
Clinical applications based on DL have been studied for the analysis of neuroimaging such …
Clinical applications based on DL have been studied for the analysis of neuroimaging such …
A Predictive Analysis for Diagnosis of COVID-19, Pneumonia and Lung Cancer Using Deep Learning
A Banerjee, S Paul - Intelligent Healthcare: Infrastructure, Algorithms and …, 2022 - Springer
At the end of 2019, the twenty-first century was hit by a serious pandemic that was caused
due to “Novel Coronavirus” also known as COVID-19. This virus has no specific symptoms …
due to “Novel Coronavirus” also known as COVID-19. This virus has no specific symptoms …
Retrospective study of machine learning based Covid-19 prediction frameworks
RJ Martin - World Journal of Advanced Research and Reviews, 2023 - wjarr.com
During the deadly pandemic of COVID-19, several clinical and non-clinical mechanisms
were adopted by the governments and World Health Organization to flatter the pandemic …
were adopted by the governments and World Health Organization to flatter the pandemic …
An Analytic Approach to Diagnose Heart Stroke Using Supervised Machine Learning Techniques
A Majumdar, S Roy, C Chakraborty - Intelligent Healthcare: Infrastructure …, 2022 - Springer
This chapter proposed how machine-learning algorithms can be used in developing
intelligent health management systems (IHMS) specially for cardiovascular disease. With the …
intelligent health management systems (IHMS) specially for cardiovascular disease. With the …