LABOUR MARKET IN UKRAINE: AN EMPIRICAL DYNAMIC ANALYSIS USING ERROR CORRECTION MODEL by I. Lukyanenko, M. Oliskevych

“…As a result of empirical research on relationships between the macroeconomic indicators of the labor market in Ukraine, we developed a set of dynamic econometric models using an error-correction mechanism which take into account the long-run equilibrium relationships, as well as provide an opportunity to model the short-term effects of several factors such as the rate of change of wages, size of the labor force, employment and unemployment. …”
Get full text

Instrumental Variable Method for Regularized Estimation in Generalized Linear Measurement Error Models by Lin Xue, Liqun Wang

“…It is well known that in a low-dimensional regression model if some covariates are measured with error, then the naive estimators that ignore the measurement error are biased and inconsistent. …”
Get full text

Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…This method has significant advantages in reducing errors, adapting to different terrain targets, and providing stable and high-precision output, which shows its application potential and superiority in the field of underwater target detection, and provides a more effective and reliable technical solution for underwater target detection.…”
Get full text

Effect of Sample Size on Sound Velocity Measurement Error by Pulse Transmission Method by LI Jiahui, CHEN Dehua, HE Xiao, ZHANG Xiumei

Get full text

Pre-Amplification of Cell-Free DNA: Balancing Amplification Errors with Enhanced Sensitivity by Wei Yen Chan, Ashleigh Stewart, Russell J. Diefenbach, Elin S. Gray, Jenny H. Lee, Richard A. Scolyer, Georgina V. Long, Helen Rizos

“…Optimised pre-amplification (20 ng cfDNA input and 5–7 cycles of PCR) enhanced ctDNA detection sensitivity and expanded sample availability for the detection of multiple tumour-informed mutations. Importantly, PCR errors emerged in pre-amplified cfDNA samples, underscoring the necessity for negative controls and the establishment of stringent mutation positivity thresholds.…”
Get full text

A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging by Jian Lin, Qiurong Yan, Quan Zou, Shida Sun, Zhen Wei, Hua Du

“…We employ multiple latent variables to generate error features at different scales in the intermediate layers of the error compensation network, compensating the reconstructed image. …”
Get full text

Peculiarities of Application of Contact Methods for Measuring the Temperature of Technological Objects by Vasyl Fedynets, Ihor Vasylkivskyi

Get full text

Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling by Xinling Liu, Jingyao Hou

Get full text

Error concealment algorithm for entire frame loss based on optical flow estimation by CAO Ning, HU Jian-rong, MA Yin-song

Get full text

Error concealment algorithm for entire frame loss based on optical flow estimation by CAO Ning, HU Jian-rong, MA Yin-song

Get full text

CASH: correlation-aware scheduling to mitigate soft error impact on heterogeneous multicores by Jiajia Jiao, Libao Wang, Yanxiang Li, Dezhi Han, Min Yao, Kuan-Ching Li, Hai Jiang

“…As there are significant opportunities to mitigate the soft error impacts through heterogeneous multicore scheduling, we show in this paper that the correlation among multiple applications exhibits important reliability characteristics, by defining a new metric to measure the system-level vulnerability factor of multiple applications and an approximate estimator to evaluate the metric fast and accurately for effective scheduling decisions. …”
Get full text

Implementation of SOLO taxonomy and Newman error analysis in first-order differential equation by Yarman Yarman, Dewi Murni, Fridgo Tasman

“…The results showed that there were five errors in solving first-order ODE made by students, namely Reading Errors (RE), Comprehension Errors (CE), Transformation Errors (TE), Process Skill Errors (PE), and Encoding Errors (EE). …”
Get full text

Error Bounds for lp-Norm Multiple Kernel Learning with Least Square Loss by Shao-Gao Lv, Jin-De Zhu

“…Specially, by imposing an lp-norm penalty on the kernel combination coefficient, multiple kernel learning (MKL) was proved useful and effective for theoretical analysis and practical applications (Kloft et al., 2009, 2011). In this paper, we present a theoretical analysis on the approximation error and learning ability of the lp-norm MKL. …”
Get full text

Stochastic Estimation of MIMO Detection Error Caused by Low-Bitwidth QR Decomposition by Alexander Osinsky, Roman Bychkov, Mikhail Kirichenko, Vladimir Lyashev, Andrey Ivanov

“…The suggested method can be used to examine the roundoff error in many other applications that require matrix inverse operations.…”
Get full text

An Improved Pose Estimation Method Based on Projection Vector With Noise Error Uncertainty by Jiashan Cui, Changwan Min, Xiangyun Bai, Jiarui Cui

“…The results show that the proposed method has good robustness and convergence while adapting to different degrees of error uncertainty, which can meet practical engineering applications.…”
Get full text

Bayesian robust symmetric regression for medical data with heavy-tailed errors and censoring. by Mehmet Ali Cengiz, Talat Şenel, Muhammed Kara

“…Bayesian symmetric regression offers a principled framework for modeling data characterized by heavy-tailed errors and censoring, both of which are frequently encountered in medical research. …”
Get full text

Detecting Pronunciation Errors in Spoken English Tests Based on Multifeature Fusion Algorithm by Yinping Wang

Get full text

A combined algorithm for tunnel personnel localization based on error areal division by Jian Xu, Haiying Wang, Yiqing Ren, Yingzhi Zhang

“…However, in practical applications, the error areal distribution is generally non-uniform. …”
Get full text

Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error by Yang Liu, Yi-Xuan Zhang, Zhong-Chao Lin, Yu-Jia Zou

“…Compared with the traditional single model, the combination model can deal with complex and diverse optimization problems more effectively and has stronger robustness and versatility. A method of regional error analysis near the prediction point is proposed, which can select a suitable model with high prediction accuracy after a few iterations. …”
Get full text

Monocular vision measurement error prediction and feedback control for a planar manipulator by Yong Chen, Jiahua Zou, Mian Jiang, Lingbo Xie, Zhen Xu

“…Due to edge feature defects of markers, the visual measurements for the servo control of planar manipulators often exhibit systematically distributed errors even after conventional distortion correction and camera calibration. …”
Get full text