-
1321
-
1322
Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose
Published 2025-12-01“…This study addresses the challenges of high matching errors and low recognition rates in traditional skeletal point-based human action matching methods, a skeleton point coordinate and human posture action matching technology is studied based on Open-pose open-source model. …”
Get full text
Article -
1323
No-Code Technology in Designing a Web-Based Stock Recording Applications Using AppSheet
Published 2025-07-01“…Digital transformation also helps minimize errors and maintain service quality. Manual inventory recording at the Dermaga Baut Mandiri Store in Tangerang causes difficulties in monitoring inventory availability, a high risk of data errors, and delays in reporting, which impacts operational and service continuity. …”
Get full text
Article -
1324
-
1325
A Robust Framework for Probability Distribution Generation: Analyzing Structural Properties and Applications in Engineering and Medicine
Published 2025-04-01“…Extensive simulation studies confirm these estimation techniques’ robustness, showing that biases, mean squared errors, and root mean squared errors consistently decrease as sample sizes increase. …”
Get full text
Article -
1326
-
1327
APPLICATION OF BAGGING CART IN THE CLASSIFICATION OF ON-TIME GRADUATION OF STUDENTS IN THE STATISTICS STUDY PROGRAM OF TANJUNGPURA UNIVERSITY
Published 2023-12-01“…Based on the accuracy value obtained, the application of the CART Bagging method can increase accuracy and correct classification errors on a single CART classification tree by 15.71% by resampling 25 times.…”
Get full text
Article -
1328
Haavikko’s technique for dental age estimation: Brazilian application and technique variation at the age of 10 years
Published 2025-06-01“…Conclusions We conclude that the technique is replicable and can be applied with a low error rate in the Brazilian population.…”
Get full text
Article -
1329
Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications
Published 2025-03-01“…Various metrics, including variance score, R-squared, mean squared error (MSE), mean absolute error (MAE), and root mean square error (RMSE), were used to evaluate the machine learning models. …”
Get full text
Article -
1330
Prediction of Rice Yields in a Changing Climate Using the Mobile Rice Yield Prediction Application
Published 2025-04-01“…A 10-year dataset from the Malaysian Meteorological Department (MetMalaysia) and the Department of Statistics Malaysia (DOA) were trained and tested on varying data splits and then evaluated using performance metrics such as R-squared, Mean Absolute Error, Mean Square Error, and Root Mean Square Error. …”
Get full text
Article -
1331
-
1332
Verification tests of a method of determining sound intensity with the application of a two microphone technique
Published 2015-07-01“…These tests led to the development of software and instrumentation for the method of measuring the acoustical intensity with the application of a two microphone technique. Results of a quantitative evaluation of chosen method errors occuring for the accepted for investigation pair of microphones were presented, as well as results of investigations leading to the evaluation of the accuracy of intensity measurements done with the developed measuring system.…”
Get full text
Article -
1333
System Development for Liquid Chemicals Point Injection Based on Convolutional Neural Network Models
Published 2021-06-01“…They showed that the predicted error on the validation data was 0.18758. In practice, it could differ from the declared one by no more than 10-15 percent. …”
Get full text
Article -
1334
Utilization of aspen DMC3 in process control of crude distillation unit (CDU)
Published 2025-06-01“…The performance of the DMC controller is compared against conventional Proportional-Integral-Derivative (PID) controllers implemented in Aspen Dynamics using key indicators such as settling time, offset error, maximum deviation, and response smoothness. …”
Get full text
Article -
1335
Application of quantum-inspired evolutionary algorithm in the analysis of near infrared diffuse transmission spectroscopy of apples
Published 2011-07-01“…The results showed that the GA-PLS model had 110 variables, with RMSEC (root mean standard error of calibration) of 0.582 0, RMSEP (root mean standard error of prediction) of 0.612 3, but the QEA-PLS model had 194 variables, with RMSEC of 0.492 7, RMSEP of 0.526 0. …”
Get full text
Article -
1336
Optimisation of Ensemble Learning Algorithms for Geotechnical Applications: A Mathematical Approach to Relative Density Prediction
Published 2025-01-01“…The mathematical formulation of the GBR model was rigorously examined and optimised using advanced tuning functions, achieving exceptional performance metrics (mean squared error [MSE] = 11.91, mean absolute error [MAE] = 1.93, R2 = 0.997). …”
Get full text
Article -
1337
Prediction equation for hardness in heat-affected zone of X80 pipeline welds and its application
Published 2025-07-01Get full text
Article -
1338
APPLICATION OF DIFFERENTIAL EQUATIONS IN POPULATION GROWTH ESTIMATION OF KEDIRI CITY AS THE IMPLEMENTATION OF THE 2030 SDGS TARGET
Published 2024-07-01“…To validate the accuracy of the logistic growth model, the Mean Absolute Percentage Error (MAPE) method was applied, resulting in an error percentage that falls within the highly accurate category, thus affirming the reliability of the model in predicting population growth trends.…”
Get full text
Article -
1339
Structuring a textile knitting dataset for machine learning and data mining applicationsMendeley Data
Published 2025-08-01“…Among various machine learning models to predict GSM, Random Forest and XGBoost consistently outperformed across all metrics (R² score, Mean Absolute Error, and Mean Square Error).…”
Get full text
Article -
1340