Refining regional gravity anomalies and vertical deflections of high-degree earth gravity model from residual terrains based on the spatial domain method by Yixiang Liu, Jinyun Guo, Miao Lin, Le Chang, Xiaotao Chang, Xin Liu

“…However, the limited degree of expansion in the gravity field model introduces truncation errors, which hinder the accurate representation of high-frequency information in Earth's gravity field model. …”
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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

“…Notably, in negative-skew contexts, the model achieved an MAE of 0.40 and RMSE of 0.49, outperforming its symmetric-error counterparts. The inclusion of zero-inflation probabilities further enhances model performance in sparse datasets, yielding superior values in goodness-of-fit criteria such as the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). …”
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Performance Analysis of IRS-Assisted Multi-Link FSO System Under Pointing Errors by Takumi Ishida, Chedlia Ben Naila, Hiraku Okada, Masaaki Katayama

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Research on error control method for polynomial approximation based on equal amplitude oscillation theorem by Letong Zhou, Liguo Zhao

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Low-Density Parity-Check Codes as Stable Phases of Quantum Matter by Chao Yin, Andrew Lucas

“…Phases of matter with robust ground-state degeneracy, such as the quantum toric code, are known to be capable of robust quantum information storage. Here, we address the converse question: given a quantum error-correcting code, when does it define a stable gapped quantum phase of matter, whose ground-state degeneracy is robust against perturbations in the thermodynamic limit? …”
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Multi-channel volume density neural radiance field for hyperspectral imaging by Runchuan Ma, Sailing He

“…This paper addresses challenges in the application of NeRF methods in the hyperspectral domain, including local errors in convergence caused by noise. Leveraging the characteristics of hyperspectral data, we propose a neural radiance field method employing a multi-channel volume density distribution function. …”
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Joint Entropy Error Bound of Two-Dimensional Direction-of-Arrival Estimation for L-Shaped Array by Xiaolong Kong, Daxuan Zhao, Nan Wang, Dazhuan Xu

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DSI-ResCNN: A Framework Enhancing the Error-Tolerance Capacity of DNA Storage for Images by Cihan Ruan, Liang Yang, Rongduo Han, Shan Gao, Haoyu Wu, Qiming Yuan, Yanting Guo, Nam Ling

“…One such challenge pertains to errors introduced during the DNA storage process, which require the development of information subsystems with enhanced error-tolerance capabilities. …”
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Factors Associated with the Incidence of Medication Errors Among Nurses in Selected Hospitals Affiliated with Shahid Sadoughi University of Medical Sciences, Yazd by Khatere Khanjankhani, Tina Seirafi, Sajjad Bahariniya, Atefeh Ebrahimi, Seyed Masood Mousavi

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Positioning method for roadheaders based on fusion of LiDAR and inertial navigation by LIU Jing, WEI Zhiqiang, CAI Chunmeng, LIU Yang

“…In dynamic conditions, the fusion positioning system achieved a position error of 5.8 cm, reducing the LiDAR system's error by 12.1%. …”
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Solar Probability Density Estimation Using Adaptive Parametric/Nonparametric Hybrid Model by Maisam Wahbah, Bashar Zahawi, Tarek H. M. El-Fouly

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Optimized LDPC Matrices: Reducing and Redistributing 1 bits for Enhanced MAP Detection in Bit-Patterned Media Recording Systems by Thien An Nguyen, Jaejin Lee, Jong-Ho Lee

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Research on Leaf Area Density Detection in Orchard Canopy Using LiDAR Technology by Mingxiong Ou, Yong Zhang, Zhiyong Yu, Jiayao Zhang, Weidong Jia, Xiang Dong

“…Precise detection of canopy parameters is vital as it offers essential information for pest management in orchards. Among these parameters, leaf area density stands out as a key indicator of orchard canopies. …”
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Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data by Shaylah M. Mutschler, Penina Axelrad, Eric K. Sutton, Dallas Masters

“…Abstract In Low Earth Orbit (LEO), atmospheric drag is the largest contributor to trajectory prediction error. The current thermospheric density model used in operations, the High Accuracy Satellite Drag Model (HASDM), applies corrections to an empirical density model every 3 hr using observations of 75+ calibration satellites. …”
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A Potential Density Gradient Dependent Analysis Scheme for Ocean Multiscale Data Assimilation by Hongli Fu, Jinkun Yang, Wei Li, Xinrong Wu, Guijun Han, Yuanfu Xie, Shaoqing Zhang, Xuefeng Zhang, Yingzhi Cao, Xiaoshuang Zhang

“…However, traditional ODA schemes allow the mixing across the potential density surface and thus may result in extra assimilation errors. …”
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Analysis of Outage Probability and Average Bit Error Rate of Parallel-UAV-Based Free-Space Optical Communications by Sheng-Hong Lin, Jin-Yuan Wang, Xinyi Hua

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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

“…In addition, we derive the analytical gradient and the Hessian of the network outputs with respect to its trainable parameters, which are needed when the outputs have stochastic noise due to hardware errors and a finite number of circuit shots (sampling). …”
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Quantum dialogue protocol based on self-dual quantum low density parity check codes by Fen LIU, Zhenxing HE, Pengao XU, Hongyang MA

“…In quantum channels,particles are usually affected by noise during transmission.A quantum dialogue protocol based on self-dual quantum low density parity check codes was proposed to resist noise attacks.A combination of B construction method and U construction method was used to construct a self-dual quantum low density parity check matrix.The proposed quantum dialogue protocol can resist common external attacks,and there was no information leakage,which improved the efficiency of encoding and decoding.The security of quantum dialogue protocol was studied from the perspective of error correction.Security analysis shows that the protocol has sufficient security and can effectively resist common malicious attacks.…”
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CO Detection in High-Mileage Vehicle Cabins and Traffic Density Analysis Using Fuzzy Logic by Suzuki Syofian, Aji Setiawan, Muhamad Fathan, Rolan Siregar

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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

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