Hybrid CNN-SVR blood pressure estimation model using ECG and PPG Signals
S Rastegar, H Gholam Hosseini, A Lowe - Sensors, 2023 - mdpi.com
Continuous blood pressure (BP) measurement is vital in monitoring patients' health with a
high risk of cardiovascular disease. The complex and dynamic nature of the cardiovascular …
high risk of cardiovascular disease. The complex and dynamic nature of the cardiovascular …
Prediction of MRI RF exposure for implantable plate devices using artificial neural network
The purpose of this paper is to present a fast method to predict the radio frequency (RF)
exposure for multi-configuration implantable devices in the magnetic resonance imaging …
exposure for multi-configuration implantable devices in the magnetic resonance imaging …
Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
A detailed understanding of the drilling fluid rheology and filtration properties is essential to
assuring reduced fluid loss during the transport process. As per literature review, silica …
assuring reduced fluid loss during the transport process. As per literature review, silica …
Prediction of moisture resistance of asphalt mastics modified by liquid anti strip** based on support vector regression, artificial neural network and Kernel-based …
R Babagoli, M Rezaei - Construction and Building Materials, 2022 - Elsevier
Commonly referred to as strip**, moisture sensitivity is described as the strip** of
bitumen from the surface of aggregates. This phenomenon occurs when adhesion bonds …
bitumen from the surface of aggregates. This phenomenon occurs when adhesion bonds …
Exploring attitudes and behavioral patterns in residential energy consumption: Data-driven by a machine learning approach
The present study focuses on two main objectives: firstly, to clarify the mechanisms by which
attitudes impact behavioral changes related to household energy consumption, and …
attitudes impact behavioral changes related to household energy consumption, and …
Kernel partial least square regression with high resistance to multiple outliers and bad leverage points on near-infrared spectral data analysis
Multivariate statistical analysis such as partial least square regression (PLSR) is the
common data processing technique used to handle high-dimensional data space on near …
common data processing technique used to handle high-dimensional data space on near …
Kernel partial diagnostic robust potential to handle high-dimensional and irregular data space on near infrared spectral data
In practice, the collected spectra are very often composes of complex overtone and many
overlap** peaks which may lead to misinterpretation because of its significant nonlinear …
overlap** peaks which may lead to misinterpretation because of its significant nonlinear …
Forecasting Industrial Electricity Consumption in Iran: A Novel Hybrid Approach for Sustainable Energy Management
M Rezaei - Environmental Energy and Economic Research, 2024 - eeer.ir
Accurately predicting industrial electricity consumption is essential for optimizing energy
efficiency, and reducing costs in industrial operations. This study presents a novel hybrid …
efficiency, and reducing costs in industrial operations. This study presents a novel hybrid …
Shear Stress and Filtration Loss Properties Assessment of Nano-Silica Water-Based Drilling Fluid Using Machine Learning Approaches
A complete overview of the rheology and filtration properties of drilling fluids is essential to
ensure an efficient transport process with minimized fluid loss. Silica nanoparticle is an …
ensure an efficient transport process with minimized fluid loss. Silica nanoparticle is an …
Exploring Attitudes and Behavioral Patterns in Residential Energy Consumption: A Machine Learning Approach
B Vojdani Fakhr, M Yegane, J Walzberg - Available at SSRN 4580743 - papers.ssrn.com
Cognitive attitudes and behavioral patterns influence residential energy consumption in a
complex manner. To design effective interventionsto promote energy-efficient practices, a …
complex manner. To design effective interventionsto promote energy-efficient practices, a …