Research on Three-Dimensional Magnetic Induced Error Model of Interferometric Fiber Optic Gyro by Zicheng Wang, Guochen Wang, Wei Gao, Zhuo Wang

“…To improve the performance of IFOG, the accurate model of Faraday effect-induced bias errors is necessary for its practical applications. …”
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Generalized number-phase lattice encoding of a bosonic mode for quantum error correction by Dong-Long Hu, Weizhou Cai, Chang-Ling Zou, Ze-Liang Xiang

“…Abstract Bosonic systems offer unique advantages for quantum error correction, as a single bosonic mode provides a large Hilbert space to redundantly encode quantum information. …”
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Multiview Deep Autoencoder-Inspired Layerwise Error-Correcting Non-Negative Matrix Factorization by Yuan Liu, Yuan Wan, Zaili Yang, Huanhuan Li

“…To address these limitations, this study aims to develop a novel method that integrates an autoencoder-inspired structure into the deep NMF framework, incorporating layerwise error-correcting constraints. This approach can facilitate the extraction of hierarchical features while effectively mitigating reconstruction error accumulation in deep architectures. …”
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Model Predictive Control for Six-Phase Induction Machines with Insight into Past Current Errors by Juan Carrillo-Ríos, Ignacio González-Prieto, Ángel González-Prieto, Mario J. Durán, Juan José Aciego

“…Multi-phase electric drives can act as a competitive solution for high-power applications. To take advantage of the multi-phase benefits, the design of high-performance control techniques is a crucial task. …”
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Two-Step Single Slope/SAR ADC with Error Correction for CMOS Image Sensor by Fang Tang, Amine Bermak, Abbes Amira, Mohieddine Amor Benammar, Debiao He, Xiaojin Zhao

“…With the proposed error correction mechanism, the power consumption and chip area of the single slope ADC are significantly reduced. …”
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Error Distribution Pattern Analysis of Mobile Laser Scanners for Precise As-Built BIM Generation by Sung-Jae Bae, Junbeom Park, Joonhee Ham, Minji Song, Jung-Yeol Kim

“…In other words, the results indicate that when using MLS for as-built BIM generation, robust fitting methods have limitations in obtaining realistic object dimensions, as they do not account for the unique error patterns present in MLS point clouds. The proposed method provides a simple and repeatable approach for enhancing MLS accuracy, contributing to improved dimensional reliability in MLS-driven BIM applications.…”
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Minimizing the Error Gap in Smart Framing by Forecasting Production and Demand Using ARIMA Model by Surindar Gopalrao Wawale, Malik Jawarneh, P. Naveen Kumar, Thomas Felix, Jyoti Bhola, Roop Raj, Sathyapriya Eswaran, Rajasekhar Boddu

“…Crop growth rates, applicability, and yields have not improved significantly over time in the United States. …”
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Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review by Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala

“…Therefore, emotion recognition through BCIs holds significant promise for various domains, including affective computing, healthcare, and human–computer interaction, with numerous potential applications. Creating precise and reliable emotion recognition systems based on BCIs presents significant challenges due to the multitude of potential error sources that can affect their effectiveness. …”
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Mobile Location With Multi-Spot Measurements Model Considering Anchor Node Position Errors by Chenyu Yang, Rui Ren, Dongkun Jin, Jiyan Huang

“…However, practical implementation of multi-spot techniques faces challenges when anchor nodes are subject to motion and position errors, which can substantially impact the accuracy of position estimation. …”
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Evaluation of the soft error assessment consistency of a JIT‐based virtual platform simulator by Geancarlo Abich, Rafael Garibotti, Vitor Bandeira, Felipe da Rosa, Jonas Gava, Felipe Bortolon, Guilherme Medeiros, Fernando G. Moraes, Ricardo Reis, Luciano Ost

“…Campaigns consider different open‐source and commercial compilers as well as real software stacks including FreeRTOS/Linux kernels and 52 applications. Results show that OVPsim‐FIM is more than 1000× faster than cycle‐accurate simulators and up to 312× faster than event‐driven simulators, while preserving the soft error analysis accuracy (i.e. mismatch below to 10%) for single and multicore processors.…”
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A Comprehensive Review of Mathematical Error Characterization and Mitigation Strategies in Terrestrial Laser Scanning by Mansoor Sabzali, Lloyd Pilgrim

“…In recent years, there has been an increasing transition from 1D point-based to 3D point-cloud-based data acquisition for monitoring applications and deformation analysis tasks. Previously, many studies relied on point-to-point measurements using total stations to assess structural deformation. …”
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Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors by M. Alejandro Dinamarca, Fernando Rojas, Claudia Ibacache-Quiroga, Karoll González-Pizarro

“…Simulation experiments reveal that the skewness parameter significantly affect forecasting accuracy, with reductions in mean absolute error (MAE) and root mean square error (RMSE) observed across both positively and negatively skewed scenarios. …”
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Robust prediction of chaotic systems with random errors using dynamical system deep learning by Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu

“…Our work extends the theoretical applicability of the DSDL under random error conditions and points to the new and superior data-driven method DSDL based on the dynamic framework, holding significant potential for mitigating the impact of random errors and achieving robust predictions of real-world systems.…”
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Optimal error estimate for the noncoercive quasivariational inequality with nonlinear source term related to impulse control problems by Nesrine Amari, Abida Harbi, Mohamed Haiour

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Study of Isothermal, Kinetic, and Thermodynamic Parameters for Adsorption of Cadmium: An Overview of Linear and Nonlinear Approach and Error Analysis by Fozia Batool, Jamshed Akbar, Shahid Iqbal, Sobia Noreen, Syed Nasir Abbas Bukhari

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Applications of Gegenbauer polynomial collocation method on the aspects of interfacial layer thickness and thermal conductivity of solid-liquid layer in time-dependent nanofluid fl... by R. Naveen Kumar, Thanesh Kumar.K, R.S.Varun Kumar

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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

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Methodology for Improving Mathematical Model of Ultrasonic Flowmeter to Study Its Error at Distorted Flow Structure by Fedir Matiko, Vitalii Roman, Roman Baitsar

“…On the basis of the proposed methodology, USM errors research method in terms of distortion of the flow structure has been developed. …”
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Concept of Integrating a Hybrid Thermal Error Compensation Into an Existing Machine Tool Control Architecture by Alexander Geist, Muhammad Faisal Yaqoob, Christian Friedrich, Christian Naumann, Steffen Ihlenfeldt

“…Thermal error compensation via a numeric control (NC) system is a proven option for upgrading the precision of machine tools. …”
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Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment by Sergio A. C. Bezerra, Sergio A. C. Bezerra Junior, Jose L. De S. Pio, Jose R. H. Carvalho, Keiko V. O. Fonseca

“…Techniques used in multimedia applications often introduce distortions, which can significantly degrade image and video quality. …”
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