A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification by Walaa Ghamrawi, Nathan Curtis, Jialang Xu, Matt Boal, Evangelos Mazomenos, Eddie Edwards, Danail Stoyanov, Nader Francis

“…The OCHRA methodology involved segmentation of the 77 operations and manually annotating each case for the enacted errors and near misses. We provide a detailed description of the errors and near misses of over 380 hours of video analysis, containing 1377 errors. …”
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Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle by Wenyuan Shao, Jianmin Hu, Yicai Ji, Jun Pan, Guangyou Fang

“…Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. However, the application of sparse array structure and the EPC principle produces a non-negligible phase error, which affects the imaging quality. …”
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Analysis of Requirements and the Feasible Limit for Error Reduction in Two-Parameter Magnetic Determination of Steels’ Hardness by S. G. Sandomirski

“…However, the specific conditions and requirements for application of the two-parameter methods remain unclear. …”
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National competition reveals common errors in target delineation among young clinicians in radiation therapy by Qingyu Huang, Xue Dou, Jing Liu, Rui Feng, Xiang Zhang, Jinbo Yue

“…Abstract Background Radiation therapy's efficacy hinges on accurate tumor and organ delineation, a task currently dependent on manual methods prone to high variability and error. To address this, we organized a national targeting competition to identify and rectify common targeting errors among young clinicians. …”
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Dealing with AFLP genotyping errors to reveal genetic structure in Plukenetia volubilis (Euphorbiaceae) in the Peruvian Amazon. by Jakub Vašek, Petra Hlásná Čepková, Iva Viehmannová, Martin Ocelák, Danter Cachique Huansi, Pavel Vejl

“…Nonetheless, these techniques are not absolutely reliable because of various sources of errors arising during the genotyping process. Thus, a complex analysis of genotyping error was carried out with the AFLP method in 169 samples of the oil seed plant Plukenetia volubilis L. from small isolated subpopulations in the Peruvian Amazon. …”
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Offshore Wind Farm Wake Deflection Control Based on Adaptive Wind Condition Prediction Error by Jie YAN, Jialin YANG, Hangyu WANG, Jiaoyang LU, Yongqian LIU, Lei ZHANG

“…The wind prediction is an important input to the wind farm wake deflection control, and its error has a huge impact on the actual control effect, even leading to a "decrease instead of an increase" in the overall power generation, which greatly limits the engineering application of wind farm wake deflection control technology. …”
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On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables by Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani

“…By employing kernel smoothing techniques and asymptotic analysis, we derive the exact asymptotic expression for the leading terms of the quadratic error, providing a precise characterization of the estimator’s convergence behavior. …”
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A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools by Sen Mu, Chunping Yu, Kunlong Lin, Caijiang Lu, Xi Wang, Tao Wang, Guoqiang Fu

“…The application of these two methods in thermal error modeling and compensation is reviewed and summarized in detail. …”
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Atmospheric Modulation Transfer Function Calculation and Error Evaluation for the Panchromatic Band of the Gaofen-2 Satellite by Zhengqiang Li, Mingjun Liang, Yan Ma, Yang Zheng, Zhaozhou Li, Zhenting Chen

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Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA by Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, Rana Ahmad Bilal Khalid

“…Moreover, existing tools are inadequate for detecting such errors in tri-model applications, leaving a critical gap in development support. …”
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Original and Mirror Face Images and Minimum Squared Error Classification for Visible Light Face Recognition by Rong Wang

“…Though minimum squared error classification (MSEC) is a widely used method, its applications on face recognition usually suffer from the problem of a limited number of training samples. …”
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Positioning Error Analysis of Distributed Random Array Based on Unmanned Aerial Vehicles in Collaborative Jamming by Yongjie Zhao, Longqing Li, Deming Hu, Zhiping Huang, Xiaojun Guo, Junhao Ba, Honghe Huang, Shudong Yuan, Jing Zhou

“…This paper examines the impact of angle and distance errors on jamming effectiveness, deriving upper error bounds under various suppression coefficients. …”
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A Phase Error Compensation Method for High-Rise Targets in High-Resolution SAR Images by JiaDong Deng, Wei Yang, HongCheng Zeng, YaMin Wang, Jiayi Guo, Wei Xiong, Min Liu, Jie Chen, Wei Liu

“…High-resolution images of urban areas generated by spaceborne synthetic aperture radar (SAR) have a wide range of applications. However, with the improvement in resolution, the slant range error caused by the height of buildings leads to high-order and complex phase errors during the imaging process, which in turn causes image defocusing. …”
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A new approach to error inequalities: From Euler-Maclaurin bounds to cubically convergent algorithm by Miguel Vivas-Cortez, Usama Asif, Muhammad Zakria Javed, Muhammad Uzair Awan, Yahya Almalki, Omar Mutab Alsalami

“…With the help of a new auxiliary result and some well-known ones, like Hölder's, the power mean, improved Hölder, improved power mean, convexity, and bounded features of the function, we obtained new bounds for Euler-Maclaurin's inequality. From an applicable perspective, we developed several intriguing applications of our results, which illustrated the relationship between the means of real numbers and the error bounds of quadrature schemes. …”
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Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era by Kohdai Kuroiwa, Yuya O. Nakagawa

“…Pre-FTQC era, due to the constraint on available resources, it is vital to precisely estimate the decomposition error of a whole circuit. In this paper, we propose that the Clifford+$T$ decomposition error for a given quantum circuit containing a large number of quantum gates can be modeled as the depolarizing noise by averaging the decomposition error for each quantum gate in the circuit, and our model provides more accurate error estimation than the naive estimation. …”
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An Error Analysis Study for the Distributed-Order Time-Fraction Model Using an Efficient Numerical Method by Saeed Kosari, Hao Guan, MohammadHossein Derakhshan

“…Also, convergence and error are investigated in this paper. Finally, several numerical examples to show the applicability of our scheme are displayed.…”
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Performance analysis of global local mean square error criterion of stochastic linearization for nonlinear oscillator by Luu Xuan Hung, Nguyen Cao Thang

“… The paper presents a performance analysis of global-local mean square error criterion of stochastic linearization for some nonlinear oscillators. …”
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“Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region” by Ankit Singh, Nitesh Dhiman, K. C. Niraj, Dericks Praise Shukla

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Uniform Bounds of Aliasing and Truncated Errors in Sampling Series of Functions from Anisotropic Besov Class by Peixin Ye, Yongjie Han

“…Errors appear when the Shannon sampling series is applied to approximate a signal in real life. …”
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A Compressive Sensing-Based Bistatic MIMO Radar Imaging Method in the Presence of Array Errors by Zhigang Liu, Jun Li, Junqing Chang, Yifan Guo

“…The proposed recovery method is more robust than the existed method in small samples, especially in the case of one snapshot. It is applicable in the case of relatively small array gain and phase errors. …”
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