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Hybrid class of robust type estimators for variance estimation using mean and variance of auxiliary variable.
Alomair MA, Hussain Shah Gardazi SA. Alomair MA, et al. Heliyon. 2024 May 11;10(10):e31039. doi: 10.1016/j.heliyon.2024.e31039. eCollection 2024 May 30. Heliyon. 2024. PMID: 38799750 Free PMC article.
These conventional measures of auxiliary variable improve the accuracy of the suggested class under simple random sampling without replacement (SRSWOR) scheme. The properties such as the bias, mean square errors (MSE), and least MSE of the suggested class are derive …
These conventional measures of auxiliary variable improve the accuracy of the suggested class under simple random sampling without replaceme …
BSEO-Semiautomatic Method for Determination of Oil Recovery with Nanofluids in Microfluidic Devices.
Macote-Yparraguirre E, Cortés FB, Lerner B, Franco CA, Perez MS. Macote-Yparraguirre E, et al. ACS Omega. 2024 May 9;9(20):22031-22042. doi: 10.1021/acsomega.4c00040. eCollection 2024 May 21. ACS Omega. 2024. PMID: 38799315 Free PMC article.
The experiments yielded promising results. Low values of mean-squared error (MSE), mean absolute error (MAE), and root-mean-squared error (RMSE) indicate minimal prediction errors, while a substantial coefficient of determination (R(2)) of 98% highlights the strong correla …
The experiments yielded promising results. Low values of mean-squared error (MSE), mean absolute error (MAE), and root-mean-squared e …
Effect of standardized patient simulation-based pedagogics embedded with lecture in enhancing mental status evaluation cognition among nursing students in Tanzania: A longitudinal quasi-experimental study.
Singano VE, Millanzi WC, Moshi F. Singano VE, et al. BMC Med Educ. 2024 May 26;24(1):577. doi: 10.1186/s12909-024-05562-4. BMC Med Educ. 2024. PMID: 38797831
However, there is a gap between what is taught in class and what is practiced for patients with mental illness among nursing students during MSE performance. It is believed that proper pedagogics may enhance this competence. ...When MSE materials are delivered throu …
However, there is a gap between what is taught in class and what is practiced for patients with mental illness among nursing students during …
Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models.
Chen Q, Zheng X, Shi H, Zhou Q, Hu H, Sun M, Xu Y, Zhang X. Chen Q, et al. BMC Public Health. 2024 May 25;24(1):1399. doi: 10.1186/s12889-024-18583-x. BMC Public Health. 2024. PMID: 38796443 Free article.
These models were used for fitting and prediction analysis. The evaluation metrics, including Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE), were employed to compare the performance of these models. ...Among these models, the XGBoo …
These models were used for fitting and prediction analysis. The evaluation metrics, including Mean Squared Error (MSE), Root Mean Squ …
Improving Ultrasound Diagnostic Precision for Breast Cancer and Adenosis with Modality-Specific Enhancement (MSE) - Breast Net.
Lin Z, Chen L, Wang Y, Zhang T, Huang P. Lin Z, et al. Cancer Lett. 2024 May 23:216977. doi: 10.1016/j.canlet.2024.216977. Online ahead of print. Cancer Lett. 2024. PMID: 38795759
We construct and validate the performance of modality-specific enhancement (MSE)-Breast Net based on multimodal ultrasound images and compare it to the BI-RADS in differentiating adenosis from breast cancer. ...The multimodal model outperformed the individual and bimodal m …
We construct and validate the performance of modality-specific enhancement (MSE)-Breast Net based on multimodal ultrasound images and …
A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor.
Hossain MB, LaMunion SR, Crouter SE, Melanson EL, Sazonov E. Hossain MB, et al. Sensors (Basel). 2024 May 11;24(10):3046. doi: 10.3390/s24103046. Sensors (Basel). 2024. PMID: 38793899 Free PMC article.
On the AIM-2 data, Multitasking-CNN achieved a maximum of 95% testing accuracy of PAR, a minimum of 0.59 METs mean square error (MSE), and 11% mean absolute percentage error (MAPE) in EE estimation. Conversely, on AG data, the Multitasking-CNN model achieved a maximum of 8 …
On the AIM-2 data, Multitasking-CNN achieved a maximum of 95% testing accuracy of PAR, a minimum of 0.59 METs mean square error (MSE) …
Integrative BNN-LHS Surrogate Modeling and Thermo-Mechanical-EM Analysis for Enhanced Characterization of High-Frequency Low-Pass Filters in COMSOL.
Davalos-Guzman J, Chavez-Hurtado JL, Brito-Brito Z. Davalos-Guzman J, et al. Micromachines (Basel). 2024 May 13;15(5):647. doi: 10.3390/mi15050647. Micromachines (Basel). 2024. PMID: 38793220 Free PMC article.
Our methodology transcends traditional EM characterization by integrating physical dimension variability, thermal effects, mechanical deformation, and real-world operational conditions, thereby achieving a significant leap in predictive modeling fidelity. Through rigorous evaluat …
Our methodology transcends traditional EM characterization by integrating physical dimension variability, thermal effects, mechanical deform …
Modeling Bellman-error with logistic distribution with applications in reinforcement learning.
Lv O, Zhou B, Yang LF. Lv O, et al. Neural Netw. 2024 May 15;177:106387. doi: 10.1016/j.neunet.2024.106387. Online ahead of print. Neural Netw. 2024. PMID: 38788292
Our findings consistently show that integrating the Logistic correction into the loss functions of various baseline RL methods leads to superior performance compared to their MSE counterparts. Additionally, we employ Kolmogorov-Smirnov tests to substantiate that the Logist …
Our findings consistently show that integrating the Logistic correction into the loss functions of various baseline RL methods leads to supe …
GLSTM: On Using LSTM for Glucose Level Prediction.
Kashif M, Flesca S, Veltri P. Kashif M, et al. Stud Health Technol Inform. 2024 May 23;314:103-107. doi: 10.3233/SHTI240067. Stud Health Technol Inform. 2024. PMID: 38785012
The efficacy of the proposed model has been assessed using evaluation metrics including Root Mean Square Error (RMSE), Mean Squared Error (MSE), Mean Absolute Error (MAE), and the coefficient of determination (R2)....
The efficacy of the proposed model has been assessed using evaluation metrics including Root Mean Square Error (RMSE), Mean Squared Error ( …
Comparison of physical activity and physical fitness in children and adolescents of Chinese Han and Tibet ethnicity.
Liu X, Tang J, Long W, Zou Y, Tan J. Liu X, et al. Front Public Health. 2024 May 9;12:1392803. doi: 10.3389/fpubh.2024.1392803. eCollection 2024. Front Public Health. 2024. PMID: 38784594 Free PMC article.
PA was assessed through the participation of moderate to vigorous PA (MVPA), muscle-strengthening exercise (MSE) and organized sport participation (OSP). PF was estimated using the International Fitness Scale containing components of overall fitness, cardiorespiratory fitn …
PA was assessed through the participation of moderate to vigorous PA (MVPA), muscle-strengthening exercise (MSE) and organized sport …
5,938 results