Self-Consistent Density Estimation in the Presence of Errors-in-Variables by Junhua Zhang, Yuping Hu, Sanying Feng

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Assessment of expected reliability of applied software for computer-based information systems by S. M. Borovikov, V. O. Kaziuchyts, V. V. Khoroshko, S. S. Dick, K. I. Klinov

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Information-Weighted and Normal Density-Weighted Haebara Linking by Alexander Robitzsch

“…Simulations using the two-parameter logistic model indicate that while information-weighted Haebara linking outperforms the uniformly weighted variant, it does not surpass normal density-weighted Haebara linking in terms of bias and root mean square error. …”
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Time resolution of wind speed data introduces errors in wind power density assessment by Xinrong Yang, Yiheng Tao, Yubin Jin, Bin Ye, Fan Ye, Weili Duan, Rongrong Xu, Zhenzhong Zeng

“…Wind energy is critical in the global shift towards renewable energy sources, necessitating accurate potential assessments for informed decision-making and strategic development in this transition. …”
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Generalized Kramer–Rao inequality for the moments of distribution of estimation error by A. V. Ausiannikau, V. M. Kozel

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Multilevel coding scheme based on low-density parity-check codes in DAMB by WANG Jia-qing, YU Xiao-yan, WU Le-nan

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Multilevel coding scheme based on low-density parity-check codes in DAMB by WANG Jia-qing, YU Xiao-yan, WU Le-nan

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Performance of Spatially Coupled LDPC Codes Over the Underwater Wireless Optical Channel With Strong Turbulence and Pointing Errors by Sravan Kumar Padala, John D'souza

“…The major problems in an underwater wireless optical communication (UWOC) link are turbulence induced fading and pointing errors. In this paper, we have investigated the bit error rate (BER) performance of spatially coupled low-density parity-check (SC-LDPC) coded horizontal UWOC link over a strong turbulent channel model with pointing errors. …”
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How energy transition and fintech influence income inequality in Sub-Saharan Africa: Evidence from a panel-corrected standard error approach by Etienne Bienvenu Akono, Vatis Christian Kemezang

“…By employing the panel-corrected standard errors approach, the analysis takes into account contextual and institutional factors, as well as regional specificities, for the period extending from 2000 to 2021. …”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

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A comparative study of voxel-based leaf area density estimation from quantitative structure models of trees by Qiguan Shu, Thomas Rötzer, Hadi Yazdi, Astrid Reischl, Ferdinand Ludwig

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Epidemiology of Medical Errors and Incidents in Emergency Medicine by Yu. E. Voskanyan

“…For the statistical evaluation of frequency characteristics, indicators of incidence, prevalence, and incidence density were used. The calculation of generalized frequency indicators for large samples was carried out with a 95% confidence interval.Results The epidemiology of medical errors and incidents depends on the area in which emergency care is provided. …”
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Research on unequal error protection of irregular LDPC codes by MA Pi-ming, YUAN Dong-feng, YANG Xiu-mei

“…An irregular low-density parity-check （LDPC） code with unequal error protection （UEP） property was proposed. …”
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THE ELABORATION OF THE OPTIMAL SYNTHESIS ALGORITHM FOR COMPLEX PROCESSING INFORMATION OF THE SPATIAL POSITION OF THE UPPER-AIR RADIOSONDE by E. A. Bolelov, Yu. M. Ermoshenko

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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…The model utilizes multi-source satellite remote sensing data and CMEMS temperature-salinity reanalysis data, simultaneously incorporating sea surface environmental factors (SST, SLA, and EKE) and underwater information (average density) as inputs. The key innovation lies in integrating both sea surface and underwater vertical density information to enhance the accuracy of 3D sound speed field reconstruction.ResultThe results showed that the 3dCNN-DEN achieves an average root mean square error (RMSE) of 0.7572 m/s and an average mean absolute error (MAE) of 0.5759 m/s, significantly outperforming conventional EOF-based methods. …”
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Improving MRAM Performance with Sparse Modulation and Hamming Error Correction by Nam Le, Thien An Nguyen, Jong-Ho Lee, Jaejin Lee

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Weighted zigzag decodable fountain codes for unequal error protection by Yin Zhang, Yuli Zhao, Francis C. M. Lau, Bin Zhang, Zhiliang Zhu, Hai Yu

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Estimation of Copula Density Using the Wavelet Transform by Fatimah Hashim Falhi, Munaf Yousif Hmood

“…In the case of medium and weak correlation, the Tawn copula was in first place, followed by the Rotation Tawn copula, while Gaussian copula came in last place depending on the measures (Root Mean Square Error, Akiake Information Criteria, and Logarithm likelihood criteria). …”
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MobLoc: CSI-Based Location Fingerprinting With MUSIC by Stepan Mazokha, Fanchen Bao, George Sklivanitis, Jason O. Hallstrom

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Dynamic Density-Guided Method for Multi-Robot Formation Transformation by CAO Kai, CHEN Yangquan, LI Kang, CHEN Chaobo, YAN Kun, LIU Weichao

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