Model's accuracy

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems.

10p viwalton 02-07-2024 0 0   Download

The presence of heterogeneity is a significant attribute within the context of ovarian cancer. This study aimed to assess the predictive accuracy of models utilizing quantitative 18F-FDG PET/CT derived inter-tumor heterogeneity metrics in determining progression-free survival (PFS) and overall survival (OS) in patients diagnosed with high-grade serous ovarian cancer (HGSOC).

13p vishanshan 27-06-2024 2 1   Download

Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/ OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment.

10p vishanshan 27-06-2024 1 1   Download

Papillary thyroid carcinoma (PTC) is the most frequent histological type of thyroid carcinoma. Although an increasing number of diagnostic methods have recently been developed, the diagnosis of a few nodules is still unsatisfactory. Therefore, the present study aimed to develop and validate a comprehensive prediction model to optimize the diagnosis of PTC.

11p vikoch 27-06-2024 1 1   Download

The article introduces a method to create any 2D laser profiles applied in welding technology. This method allows for the creation of profiles that best suit the weld characteristics and material of the weld workpiece, thereby improving the quality, accuracy, and aesthetics of the weld and increasing laser welding efficiency.

9p viambani 18-06-2024 1 1   Download

Stressing the concrete applications of economic forecasting, Practical Business Forecasting is accessible to a wide-range of readers, requiring only a familiarity with basic statistics. The text focuses on the use of models in forecasting, explaining how to build practical forecasting models that produce optimal results. In a clear and detailed format, the text covers estimating and forecasting with single and multi- equation models, univariate time-series modeling, and determining forecasting accuracy.

510p vimeyers 29-05-2024 3 2   Download

This study compares the accuracy of two popular time series forecasting models, namely the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model, in predicting daily gold prices from 2000 to 2023. The ARIMA model is a traditional approach that relies on past values to forecast future values, while the LSTM model is a deep learning technique that captures long-term dependencies in time series data.

16p dathienlang1012 03-05-2024 0 0   Download

In this study, three-dimensional crystal plasticity finite element method (CPFEM) simulations of the nanoindentation test on zinc single crystal have been implemented in the finite element code Abaqus using a user material subroutine. The basics of deformation mechanisms of zinc, nanoindentation test and crystal plasticity theory will be presented.

10p dathienlang1012 03-05-2024 0 0   Download

This paper presents a detailed experimental validation of an orthotropic laminate model to predict the vibroacoustic behavior of flat sandwich-composite plates with foam core. The accuracy of the model is investigated using a thin sandwich plate over a large frequency band. The sound transmission loss (STL) across several clamped sandwich-composite plates with polyurethane foam core is compared for different core density, different core thickness and different skin thickness.

13p dathienlang1012 03-05-2024 0 0   Download

The latest release in this series is YOLOv8. In this article, the authors introduce a Deep Learning approach for object detection employing the YOLOv8 model. The testing outcomes reveal that the model attains a peak accuracy of 95 % for large and well-defined objects, whereas objects that are obscured and small in size exhibit an accuracy of 27.5 %.

8p dianmotminh02 03-05-2024 3 1   Download

This study examined the effect of DEM resolutions (12.5 m, 30m, 50m, 70m, and 90m) on the accuracy of landslide susceptibility maps in Laocai city, Laocai province. The eight causative factor maps, including elevation, slope, slope aspect, distance to drainage, distance to roads, lithology, distance to faults, and rainfall, were produced.

8p viellison 06-05-2024 1 1   Download

This study proposes a hybrid multi-filter wrapper method for feature selection of relevant and irredundant features in software defect prediction. The proposed hybrid feature selection will be developed to take advantage of filter-filter and filter-wrapper relationships to give optimal feature subsets, reduce its evaluation cycle and subsequently improve SDP models overall predictive performance in terms of Accuracy, Precision and Recall values.

7p longtimenosee10 26-04-2024 2 1   Download

The accuracy of assessing the capabilities of the process and product in chemical practice activities requires appropriate measurement procedures to be followed. This study aims to identify the components or criteria used by teachers to assess student performance in practicum activities and analyze the quality of the rubrics developed.

19p viarnault 25-04-2024 4 2   Download

The paper deals with the task of assessing the financial condition of enterprises. To solve it, we prove the necessity of building a neural network model for supply chain. A set of financial ratios is defined as the input parameters of the model: the current liquidity ratio of the enterprise, the equity ratio, the equity turnover ratio, and the return on equity ratio. The output parameters were the types of the financial condition of enterprises: an unstable state (regression), a normal state (stable) and an absolutely stable state (progression).

6p longtimenosee09 08-04-2024 2 1   Download

This research aims to study the knowledge used for Hospitality of Agriculturists for Agro-tourism (HAAT) and Tourism Service Enhancement (TSE), to create a hospitality model for agriculturists in Nakhon Pathom province, Thailand, and to study the effect of using the model on TSE. A mixed method was the research methodology. The data was collected from 800 samples selected from the population of 920,030 people in Nakhon Pathom province to ensure the data reliability and accuracy in the Structural Equation Modeling (SEM).

12p longtimenosee06 27-03-2024 2 2   Download

Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization , forecasting and decision support. It uses supply chain - specific parameter estimation using supply chain processing techniques to model the optimal network system.

5p longtimenosee06 27-03-2024 9 2   Download

In this research "Classification and regression tree model to predict the probability of a backorder in uncertain supply chain", we develop Classification and Regression Tree (CART) model that uses previously known parameters to predict the likelihood of a product being backordered. We also use different model parameters to evaluate the accuracy of the model. Result shows that the developed model can help decision makers to identify the key factors that lead to a product backordering.

8p longtimenosee04 06-03-2024 3 1   Download

Ebook "Benefit-cost analysis: Financial and economic appraisal using spreadsheets" offers the perfect introduction to benefit-cost analysis. The book closely integrates the theory and practice of benefit-cost analysis using a spreadsheet framework. The spreadsheet model is constructed in a truly original way which contributes to transparency, provides a check on the accuracy of the analysis, and facilitates sensitivity, risk and alternative scenario assessment.

361p nguyetthuongvophong1010 04-03-2024 5 2   Download

Ebook "GeoDynamics" analyzes recent developments in assembling geographical information such as: the ubiquitous deployment of portable measurement devices enabled with global positioning technology and its impact on the field; the management, benefits, and challenges of modeling dynamic processes in three dimensions; the implications of temporal granularity of simulations to predictions; and the appropriate representation of human factors in GIS.

446p duongthandue0501 28-02-2024 6 1   Download

This study proposes a method to enhance the accuracy of the MobileNetV3 deep learning model. The technique involves removing duplicate and outlier images to improve the efficiency of the MobileNetV3 model using K-Means.

8p vigrab 02-02-2024 2 1   Download