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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On the Firmness Code Noising to the Statistical Analysis of the Observable Data of Repeated Repetition by V. M. Deundyak, J. V. Kosolapov

“…We investigate the firmness of code noising to the statistical analysis of the evesdropped messages of repeated repetition. …”
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Analysis of the Gaia Data Release 3 Parallax Bias at Bright Magnitudes by Ye Ding, Shilong Liao, Shangyu Wen, Zhaoxiang Qi

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Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues by Lang Wu, Wei Liu, Grace Y. Yi, Yangxin Huang

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Real-Time Analysis of Basketball Sports Data Based on Deep Learning by Peng Yao

“…This paper focuses on the theme of the application of deep learning in the field of basketball sports, using research methods such as literature research, video analysis, comparative research, and mathematical statistics to explore deep learning in real-time analysis of basketball sports data. …”
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Enhancing Data Integrity in Blockchain Oracles Through Multi-Label Analysis by Cristian Camilo Ordoñez, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales

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An Optimal Linear Transformation for Data Assimilation by Chris Snyder, Gregory J. Hakim

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The role of big data analysis for resources optimization of immunization programmes in Pakistan by Abdul Raheem Rizvie, Muhammed Ifham Imtiyas, Abdul Thawwab Ishaque

“… Madam, The significance of Big Data Analysis (BDA) in optimizing immunization programmes in Pakistan emerges within the context of global and regional immunization challenges post the COVID-19 pandemic. …”
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Day-Ahead Electricity Price Prediction and Error Correction Method Based on Feature Construction–Singular Spectrum Analysis–Long Short-Term Memory by Yuzhe Jiang, Weiqing Sun

“…In order to further improve prediction accuracy, this paper constructs new feature based on publicly available market data, and uses feature filtering to find the feature data with the highest correlation with electricity prices in publicly available market data as input features. …”
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Post-evaluation and Analysis of Passenger Flow on New Rail Transit Lines by LI Ke, YANG Huifang, YUE Beichen

“…[Result & Conclusion] Main reasons for the new line passenger flow forecasting errors include the limitation of the forecasting method itself, the insufficient consideration of line and station attribute, and the insufficient basic data for forecasting. …”
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ANALYSIS OF THE REPAIR METHODS FOR EDGE STRIP OF FRONT SPAR OF CENTRAL WING by XI JiangJing, DONG DengKe, CHEN Li, CHANG Wenui

“…The fatigue life of the structure is analyzed by means of structure durability analysis theory. The detail fatigue rating is worked out by finite element analysis and through experimental verification; this paper studies the changes of fatigue life and detail fatigue rating between structure with manufacturing errors and the original structure.Through theoretical and experimental analysis,this paper judges the validity of repair methods for the fastening holes error in the current aviation industry and provides theoretical and experiment data support for repairing methods.…”
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Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data by Muhammed Haziq Muhammed Nor, Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Wan Hanna Melini Wan Mohtar, Bernard Kok Bang Lee

“…Sensitivity analysis revealed that MissForest and k NN were more stable and consistent than MICEForest across all error metrics when parameters were adjusted. …”
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Ex-Ante and Ex-Post Decomposition Strategy for Ultra-Short-Term Wind Power Prediction by Peng Lu, Zhuo Li, Lin Ye, Ming Pei, Yingying Zheng, Yongning Zhao

“…Moreover, the proposed model's comprehensive deterministic and probabilistic analysis is investigated in depth. Finally, the outcomes of numerical simulations demonstrate that the proposed approach can achieve good performance since it can reduce wind power forecast errors compared to other established deterministic models and uncertainty models.…”
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Validity of GPS data in driving cycles by Harry Smith II, Suhail Akhtar, Brian Caulfield, Margaret O'Mahony

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Square Root Compression and Noise Effects in Digitally Transformed Images by Craig E. DeForest, Chris Lowder, Daniel B. Seaton, Matthew J. West

“…Many instruments collect integer digitized values and apply nonlinear coding, in particular square root coding, to compress the data for transfer or downlink; this can introduce surprising systematic errors when they are decoded for analysis. …”
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A Petrov–Galerkin approach for the numerical analysis of soliton and multi-soliton solutions of the Kudryashov–Sinelshchikov equation by H. Samy, W. Adel, I. Hanafy, M. Ramadan

“…Visual representations, such as graphs derived from tabulated data, offer valuable insights into the dynamic changes of the equation over time or in response to varying parameters. …”
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ACCURACY ANALYSIS OF UAV COORDINATES USING EGNOS AND SDCM AUGMENTATION SYSTEMS by Kamil KRASUSKI, Damian WIERZBICKI, Małgorzata KIRSCHENSTEIN, Marta ŻUKOWSKA, Paweł GOŁDA

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Applying Machine Learning on Big Data With Apache Spark by Elias Dritsas, Maria Trigka

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Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection by Van-Trung Nguyen, Minh-Tien Nguyen

“…This study introduces a robust approach for denoising pressure signals by integrating Improved Complete Ensemble Empirical Mode Decomposition (ICEEMDAN), Continuous Mean Square Error (CMSE) analysis, optimal wavelet selection, and wavelet thresholding techniques. …”
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Beyond Instinct: Data-Driven Decision Trees for Tactical Shot Selection in Professional Padel by Pablo López-Sierra, Adrián Escudero-Tena, Sergio J. Ibáñez, Diego Muñoz

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