Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…The real-time tool condition monitoring process involves acquiring vibrational data and extracting statistical features from the raw data. …”
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Postprocessing of convection permitting precipitation forecast using UNets by Marcos Esquivel-González, Albano González, Juan Carlos Pérez, Juan Pedro Díaz

“…These models were compared to traditional benchmarks like the Censored Shifted Gamma Distribution (CSGD) with Ensemble Model Output Statistics (EMOS), the Analog Ensemble method and deep learning strategies through MLP architectures. …”
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Numerical Simulation of Protective Spraying by Helicopter-Type Unmanned Aerial Vehicles by V. P. Asovsky, A. S. Kuzmenko

“…(Materials and methods) The paper integrates scientific and technical information, experimental data, system analysis methods, applied statistics, mathematical modeling of physical objects and processes, and solutions to differential and integral equations. …”
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Distribution characteristics and value range of numerical simulation mechanical parameters in coal seam mining by Nan WANG, Yang LI, Gustavo André PANEIRO, Xinghai LEI, Xiaoming SHI, Yihang LI, Yutong CUI, Haotian LIU, Jinlong CAO, Tieji WANG

“…The application of numerical simulation methods in coal mining is extensive, particularly in simulating complex geological conditions and variable mechanical environments. …”
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Numerical modeling of solid particles reduction in water clarifiers using Lattice Boltzmann method by E. Jaiuan, Y. Khunatorn

“…Suspended solids in water are detrimental to power plant production. Statistical data from the field turbidity monitoring states different solid particle reduction performance between two existing solid contact clarifiers. …”
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Prediction of Settlement Due to Shield TBM Tunneling Based on Three-Dimensional Numerical Analysis by Ji-Seok Yun, Han-Kyu Yoo, Sung-Pil Hwang, Woo-Seok Kim, Han-Eol Kim

“…In this study, a Shield TBM model, validated using field data, was employed to perform numerical analyses on parameters such as tunnel diameter, ground elastic modulus, face pressure, and backfill pressure. …”
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An Eighth-Order Numerical Method for Spatial Variable-Coefficient Time-Fractional Convection–Diffusion–Reaction Equations by Yuelong Feng, Xindong Zhang, Leilei Wei

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Exponentiated Inverse Rayleigh Distribution and an Application to Coating Weights of Iron Sheets Data by Gadde Srinivasa Rao, Sauda Mbwambo

“…This article aims to introduce a generalization of the inverse Rayleigh distribution known as exponentiated inverse Rayleigh distribution (EIRD) which extends a more flexible distribution for modeling life data. Some statistical properties of the EIRD are investigated, such as mode, quantiles, moments, reliability, and hazard function. …”
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Advanced Numerical Validation of Integrated Electrochemical-Thermal Models for PCM-Based Li-Ion Battery Thermal Management System by Mahdieh Nasiri, Hamid Hadim

“…Simulated temperature distribution and voltage capacity profiles at multiple discharge rates show excellent agreement with the experimental data, accurately capturing the underlying electrochemical-thermal mechanisms. …”
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Data-driven rolling model for global wave height by X. Wang, X. Wang, X. Wang, J. Wang, W. Lu, C. Dong, H. Qin, H. Jiang, H. Jiang, H. Jiang

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COVID-19 Pandemic in Russian and Foreign Data Trackers by Sening Marina

“…During the COVID-19 pandemics, numerous data trackers presented relevant information on morbidity and mortality rates. …”
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Numerical investigation of mixed convection and viscous dissipation in couple stress nanofluid flow: A merged Adomian decomposition method and Mohand transform by Khader Mohamed M., Adel Mohamed, Messaoudi Mohamed

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Literature data-based de novo candidates for drug repurposing by Xianglong Liang, Xin Jiang, Yifang Ma

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Composite likelihood inference for analysis of individual animal identification data by Xueli Xu, Xiaoyue Zhang, Hal Whitehead, Dehan Kong, Ximing Xu

“…While likelihood analysis is widely employed for ecological insights, the complexity of individual identification data, characterized by numerous interdependent individuals and identification times, makes direct likelihood calculation challenging. …”
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Health professional’s data management practice in Ethiopia: a systematic review and meta-analysis by Mequannent Sharew Melaku, Bedilu Geremew, Tesema Zewdu, Zemenu Molla, Rukya Yassin, Agmasie Damtew Walle, Lamrot Yohannes

“…Healthcare professionals’ data handling techniques have been the subject of numerous research, yet the findings have been wildly inconsistent in Ethiopia. …”
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Sensitivity Analysis and Performance Evaluation of the WRF Model in Forecasting an Extreme Rainfall Event in Itajubá, Southeast Brazil by Denis William Garcia, Michelle Simões Reboita, Vanessa Silveira Barreto Carvalho

“…We primarily focused on the representation of the spatial precipitation pattern, statistical metrics (bias, Pearson correlation, and Kling–Gupta Efficiency), and atmospheric instability indices (CAPE, K, and TT). …”
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Bayesian Estimation and Prediction of Inverse Power Lomax Model Under Censored Data With Applications by Samah M. Ahmed, M. I. Khan, Abdelfattah Mustafa

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Assimilating Tianmu‐1 RO Data From a 23‐Satellite Constellation to Enhance the Track Forecasts of Typhoon Gaemi (2024) by S. Yang, X. Zou

“…This study evaluates the impact of assimilating Tianmu‐1 RO data in the Gridpoint Statistical Interpolation data assimilation & Weather Research and Forecasting (WRF) system on enhancing the forecast of Typhoon Gaemi (2024). …”
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Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. by Bhavana Jonnalagadda, Stephen Becker

“…At inference time, the model outputs a low-rank decomposition of the distribution field of the charged particles, and we demonstrate that this step is faster than the standard linear algebra technique. Numerical experiments show that the method achieves comparable reconstruction accuracy for interpolation tasks, generalizing to unseen test data in a manner beyond just memorizing training data; patterns in factorization also inherently followed the same numerical trend as those within algebraic methods (e.g., truncated singular-value decomposition). …”
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Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set by Jinna Li, Yuan Li, Haibin Yu, Yanhong Xie, Cheng Zhang

“…Just-in-time (JIT) detection method and k-nearest neighbor (KNN) rule-based statistical process control (SPC) approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases. …”
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