[HTML][HTML] An evidential software risk evaluation model
X Chen, Y Deng - Mathematics, 2022 - mdpi.com
Software risk management is an important factor in ensuring software quality. Therefore,
software risk assessment has become a significant and challenging research area. The aim …
software risk assessment has become a significant and challenging research area. The aim …
[PDF][PDF] Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method
The paper considers the problem of handling short sets of medical data. Effectively solving
this problem will provide the ability to solve numerous classification and regression tasks in …
this problem will provide the ability to solve numerous classification and regression tasks in …
Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation
Missing data is a common problem in real-world data sets and it is amongst the most
complex topics in computer science and many other research domains. The common ways …
complex topics in computer science and many other research domains. The common ways …
[HTML][HTML] The additive input-doubling method based on the SVR with nonlinear kernels: Small data approach
The problem of effective intellectual analysis in the case of handling short datasets is topical
in various application areas. Such problems arise in medicine, economics, materials …
in various application areas. Such problems arise in medicine, economics, materials …
[HTML][HTML] Real-time high-load infrastructure transaction status output prediction using operational intelligence and big data technologies
An approach to use Operational Intelligence with mathematical modeling and Machine
Learning to solve industrial technology projects problems are very crucial for today's IT …
Learning to solve industrial technology projects problems are very crucial for today's IT …
A GRNN-based approach towards prediction from small datasets in medical application
A small data approach is an important area of research in the medical field. Many tasks in
this area require the development of such direction due to the high cost of obtaining dataset …
this area require the development of such direction due to the high cost of obtaining dataset …
Recovery of missing sensor data with GRNN-based cascade scheme
Background: Today, IoT-based systems are widely used in various applications. Intellectual
analysis of the data collected by IoT devices is an important task for the efficient and …
analysis of the data collected by IoT devices is an important task for the efficient and …
An Ensemble Methods for Medical Insurance Costs Prediction Task.
N Shakhovska, N Melnykova… - … , Materials & Continua, 2022 - search.ebscohost.com
The paper reports three new ensembles of supervised learning predictors for managing
medical insurance costs. The open dataset is used for data analysis methods development …
medical insurance costs. The open dataset is used for data analysis methods development …
[HTML][HTML] The Relationship between Environmental Quality, Sustainable Health, and the Coronavirus Pandemic in European Countries
M Ansarinasab, S Saghaian - Sustainability, 2023 - mdpi.com
The emission of air pollutants weakens the body's immune system and can increase the
prevalence of coronaviruses. This study examined the effects of six environmental pollutant …
prevalence of coronaviruses. This study examined the effects of six environmental pollutant …
[PDF][PDF] Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning.
This work offers a model for predicting the risk of a particular disease in a particular patient.
This work is aimed at improving practical skills in implementing machine-learning methods …
This work is aimed at improving practical skills in implementing machine-learning methods …