Evaluation of the application value of simple foot immobilization device in rectal cancer radiotherapy based on CBCT image-guided technology by Lihua GUAN, Yong HU

“…ObjectiveTo explore the application value of the simple foot immobilization device in radiotherapy for rectal cancer based on the inter-fractional setup error acquired by image-guided technology of cone beam computed tomography (CBCT). …”
Get full text

On Polynomial <i>φ</i>-Contractions with Applications to Fractional Logistic Growth Equations by Abdelkader Moumen, Hayel N. Saleh, Hussien Albala, Khaled Aldwoah, Hicham Saber, E. I. Hassan, Taher S. Hassan

“…Furthermore, we derive explicit error estimates and convergence rates for the associated Picard iteration, providing practical insights into the speed of convergence. …”
Get full text

Knowledge Error Detection via Textual and Structural Joint Learning by Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He

“…Knowledge graphs are essential tools for representing real-world facts and finding wide applications in various domains. However, the process of constructing knowledge graphs often introduces noises and errors, which can negatively impact the performance of downstream applications. …”
Get full text

Automatic Speech Recognition Errors Detection And Correction: A Review by Rahhal Errattahi, Asmaa El Hannani, Hassan Ouahmane

“… Even though Automatic Speech Recognition (ASR) has matured to the point of commercial applications, high error rate in some speech recognition domains remain as one of the main impediment factors to the wide adoption of speech technology, and especially for continuous large vocabulary speech recognition applications. …”
Get full text

Cosmic-ray-induced correlated errors in superconducting qubit array by Xuegang Li, Junhua Wang, Yao-Yao Jiang, Guang-Ming Xue, Xiaoxia Cai, Jun Zhou, Ming Gong, Zhao-Feng Liu, Shuang-Yu Zheng, Deng-Ke Ma, Mo Chen, Wei-Jie Sun, Shuang Yang, Fei Yan, Yi-Rong Jin, S. P. Zhao, Xue-Feng Ding, Hai-Feng Yu

“…We further investigate the dynamical process of QP burst and the impact of QP trapping on correlated errors and particle detection. The proposed method, which monitors multiqubit simultaneous charge-parity jumps, has high sensitivity to QP bursts and may find applications for the detection of cosmic-ray particles, low-mass dark matter, and far-infrared photons.…”
Get full text

Analysis of errors of the artificial horizon sensor based on vision system by A. A. Sheinikau, L. A. Ivanitski, V. A. Malkin

“…Proposed, developed on the basis of well-known applications, a variant of the algorithm for the operation of an unmanned aerial vehicle orientation video system. …”
Get full text

Modeling and Correction Methods for Positioning Errors in Loran System at Sea by Jingling Li, Huabing Wu

Get full text

Exponentially Reduced Circuit Depths Using Trotter Error Mitigation by James D. Watson, Jacob Watkins

“…Taken together, our findings provide the strongest evidence yet for the utility of Trotter error-mitigation techniques in algorithmic applications.…”
Get full text

A multipath error cancellation method based on antenna jitter by Jiyang Liu, Feixue Wang, Xiaomei Tang, Sixin Wang, Muzi Yuan

“…Abstract Global Navigation Satellite System signals are often affected by multipath errors, which impact the accuracy of positioning measurements. …”
Get full text

Analysis and Prediction of Transmission Error of Harmonic Reducer for Space Robot by Ruixing Li, Guangwu Zhou, Zhijun Zhao, Junyang Li, Jiaxu Wang

Get full text

FXLMS with Multiple Error Switching for Active Noise-Cancelling Casings by Krzysztof MAZUR, Stanisław WRONA, Anna CHRAPOŃSKA, Jarosław RZEPECKI, Marek PAWEŁCZYK

“…To reduce it a Switched-Error FXLMS, where only one error signal is used at the given time, have been proposed. …”
Get full text

Mean Squared Error Representative Points of Pareto Distributions and Their Estimation by Xinyang Li, Xiaoling Peng

“…In this paper, we propose using mean squared error representative points (MSE-RPs) as the discrete representation of Pareto distributions. …”
Get full text

Influence of Aerodynamic Modeling Errors on the Dynamic Characteristics of a Missile by Qiang Li, Xiaming Yuan, Jihong Zhu

“…The results show that interpolation-based aerodynamic modeling may lead to overfitting; segmented or denser Mach number testing is recommended to improve accuracy. Although aerodynamic error models based on derivatives and coefficients are applicable only within limited flight envelopes, they offer faster simulation and convenient uncertainty introduction. …”
Get full text

Minor variant detection in amplicons using 454 massive parallel pyrosequencing: experiences and considerations for successful applications by Ina Vandenbroucke, Herwig Van Marck, Peter Verhasselt, Kim Thys, Wendy Mostmans, Stéphanie Dumont, Veerle Van Eygen, Katrien Coen, Marianne Tuefferd, Jeroen Aerssens

“…Especially for this application, errors that might be introduced during any of the sample processing or data analysis steps should be avoided or at least recognized, as they might lead to aberrant sequence variant calling. …”
Get full text

New comprehensive mean estimation using regression-cum-exponential type estimator: Application with neutrosophic data

Get full text

Expressions for the First Two Moments of the Range of Normal Random Variables with Applications to the Range Control Chart by Don G. Wardell

Get full text

Classification with reject option: Distribution-free error guarantees via conformal prediction by Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson, Cecilia Sönströd, Ernst Ahlberg, Lars Carlsson

“…This causes problems in practical applications, as we do not know if we should trust a prediction. …”
Get full text

Document Layout Error Rate (DLER) metric to evaluate image segmentation methods by Ari Vesalainen, Mikko Tolonen, Laura Ruotsalainen

Get full text

Application of machine learning with gradient descent method for load forecasting: a performance analysis by Saroj Kumar Panda, Manoj Kumar Panda

Get full text

Development of a new statistical distribution with insights into mathematical properties and applications in industrial data in KSA by Badr Aloraini, Abdulaziz S. Alghamdi, Mohammad Zaid Alaskar, Maryam Ibrahim Habadi

“…This study presents the development of a novel distribution through a transformation involving error functions, namely the error function inverse Weibull model, along with an overview of the fundamental characteristics of the proposed model. …”
Get full text