[HTML][HTML] Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation
Background Identifying individuals with depressive symptomatology (DS) promptly and
effectively is of paramount importance for providing timely treatment. Machine learning …
effectively is of paramount importance for providing timely treatment. Machine learning …
Separable synchronous auxiliary model adaptive momentum estimation strategy for a time-varying system with colored noise from on-line measurements
Y Zhao, Y Ji - ISA transactions, 2024 - Elsevier
The primary focus of this article is to explore parameter estimation for time-varying systems
affected by colored noise. Based on the attributes of the time-varying system with colored …
affected by colored noise. Based on the attributes of the time-varying system with colored …
Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm
A Teso-Fz-Betoño, E Zulueta, M Cabezas-Olivenza… - Mathematics, 2023 - mdpi.com
The stochastic gradient descendant algorithm is one of the most popular neural network
training algorithms. Many authors have contributed to modifying or adapting its shape and …
training algorithms. Many authors have contributed to modifying or adapting its shape and …
11 Text Customer Classification and Salesperson of Conversations to Predict Sales Using Ensemble Models
T Chellatamilan, NR Choksi - Intelligent Systems and Sustainable …, 2024 - books.google.com
Customer relationship management (CRM) is the process through which leads are
converted to permanent customers. The conversations between the salesperson and the …
converted to permanent customers. The conversations between the salesperson and the …
Alpha Thalassemia Classification Based on Rough Set Theory
This paper proposed a classification model of alpha thalassemia based on rough set theory.
The model is start by applying preprocessing against noise and missing data. Then, rough …
The model is start by applying preprocessing against noise and missing data. Then, rough …
[PDF][PDF] Designing LQG controller based on neural network estimator for boiler system
H Khodadadi, H Ghadiri - Journal of Simulation and Analysis of …, 2023 - jsme.khsh.iau.ir
Due to demands for the economical operations of power plants, performance control of a
boiler-turbine unit has great importance. Besides, the multi-input multi-output (MIMO) …
boiler-turbine unit has great importance. Besides, the multi-input multi-output (MIMO) …
Thermodynamic Analysis of Grate Fired Boiler Efficiency using Biomass Fuels
D Eswaravelu, M Narayanasamy… - 2024 1st …, 2024 - ieeexplore.ieee.org
The boiler efficiency is one of the most important factor in a thermal power plant. In recent
years there is a demand for investigation of grate fired boiler efficiency around the world …
years there is a demand for investigation of grate fired boiler efficiency around the world …
Text Classification of Customer and Salesperson Conversations to Predict Sales Using Ensemble Models
T Chellatamilan, NR Choksi - Intelligent Systems and Sustainable … - taylorfrancis.com
Customer relationship management is crucial to a company's ability to sell its goods. It is
challenging for small business owners to monitor salespeople's talks with customers and …
challenging for small business owners to monitor salespeople's talks with customers and …
[引用][C] Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm
A Teso Fernández de Betoño, E Zulueta Guerrero… - 2023 - MDPI