A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

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An Analysis of the Factors Influencing Dual Separation Zones on a Plate by Jiarui Zou, Xiaoqiang Fan, Bing Xiong

“…The shock wave/boundary layer interaction phenomenon in hypersonic inlets, affected by background waves, may induce the formation of multiple separation zones. …”
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Research advance in changes and climate effect of methane by HAN Yuanyuan, LI Shentao, LI Xin, WEN Kaixuan, WANG Xudong

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Sedimentary Characteristics and Genetic Mechanisms of Non-Evaporitic Gypsum in a Half-Graben Basin: A Case Study from the Zhanhua Sag, Bohai Bay Basin, China by Muxin Cai, Jianguo Zhang, Zaixing Jiang, Junliang Li, Tao Meng, Peng Liu, Chao Jiang

“…This study is based on the Zhanhua Sag, in which thick-layered gypsum rocks with dark mudstone are deposited. …”
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Composition and Provenance of the Chang′e-6 Lunar Samples: Insights from the Simulation of the Impact Gardening Process by Yanze Su, Luyuan Xu, Meng-Hua Zhu, Xing-Li Cui

“…Besides the local materials of mare basalts, a certain quantity of foreign ejecta materials are expected in the samples, while their percentage was mostly overestimated since the influence of impact gardening was not fully considered. In this study, we model the impact gardening process surrounding the CE-6 landing site by numerical simulations. …”
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Atmospheric processing and aerosol aging responsible for observed increase in absorptivity of long-range-transported smoke over the southeast Atlantic by A. A. Fakoya, J. Redemann, P. E. Saide, P. E. Saide, L. Gao, L. T. Mitchell, C. Howes, A. Dobracki, A. Dobracki, I. Chang, G. A. Ferrada, G. A. Ferrada, K. Pistone, K. Pistone, S. E. Leblanc, S. E. Leblanc, M. Segal-Rozenhaimer, M. Segal-Rozenhaimer, A. J. Sedlacek III, T. Eck, T. Eck, B. Holben, P. Gupta, E. Lind, P. Zuidema, G. Carmichael, G. Carmichael, C. J. Flynn

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Virtual test bench for computer-aided design of drum dryers based on kinetic laws of the drying process by V. V. Tkach, A. A. Shevtsov

“…The aim of the study is to create a virtual test bench, consisting of optimal design parameters that provide the maximum approximation of the real drying process to the experimental data.Method. Methods of modeling, formalized description, optimal design and management of technological processes and productions are applied. …”
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Assembly Quality Control Technologies in Forced Clamping and Compensation Processes for Large and Integrated Aeronautical Composite Structures by Feiyan Guo, Qiangwei Bao, Jialiang Liu, Xiliang Sha

“…In addition, the manufacturing errors and layer parameters of large composite parts in different regions are different, and they also have a lower forming accuracy. …”
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Deriving equivalent symbol-based decision models from feedforward neural networks by Sebastian Seidel, Uwe M. Borghoff

“…The resulting symbolic structures effectively capture FNN decision processes and enable scalability to deeper networks through iterative refinement of subpaths for each hidden layer. …”
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An Online Interactive Experiment Management System for CMA Numerical Weather Prediction Models by Wang Bin, Hu Jiangkai, Cui Yingjie, Zhou Bin, Sun Jing, Zhao Chunyan, Lou Panxing

“…The application layer offers management functions at the user application level for modeling experiments. …”
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Numerical study of melt pool dynamics and bubble behavior in the laser powder bed fusion remelting process by Shengliang Luo, Guang Fu, Zhihao Ren, Hang You, Zhengwen Zhang

“…The molten flow within the melt pool is influenced by both Marangoni convection and the spatial distribution of vapor recoil pressure. During the LPBF process, bubbles formed within the melt pool move synchronously with the molten liquid, and some bubbles coalesce during their migration, eventually becoming trapped as pores within the solidified layer. …”
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CFD Modeling of Solid Suspension in a Stirred Tank: Effect of Drag Models and Turbulent Dispersion on Cloud Height by Shitanshu Gohel, Shitalkumar Joshi, Mohammed Azhar, Marc Horner, Gustavo Padron

“…In dense systems, agitation leads to the formation of a clear liquid layer above a solid cloud. Cloud height, defined as the location of the clear liquid interface, is a critical measure of process performance. …”
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Symptom and Sentiment Analysis of Older People with Cancer and Caregivers: A Text Mining Approach Using Korean Social Media Data by Kyunghwa Lee, Soomin Hong

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Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

“…To explore the relative merits of these two approaches, we have developed a two-layered machine-learning reconstruction model MEMLM (Multi Ensemble Machine Learning Model). …”
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Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions by Muhammad Mujiburohman, Marwen Elkamel, Farzad Hourfar, Ali Elkamel

“…It is well accepted that the pervaporation (PV) permeation was affected by the physicochemical properties of permeant-membrane materials and process conditions. Given many experimental data of PV, a predictive model on PV permeation based on their physicochemical properties and process conditions can be constructed. …”
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Mathematical modeling of Elbrus glaciers in the 21st century. Part 1. Glaciological model and setup of numerical experiments. by T. N. Postnikova, O. O. Rybak, A. S. Gubanov, H. Zekollari, M. Huss

“…The paper discusses calibration processes that allow using simple modeling methods, such as the temperature index method for calculating the surface mass balance, and to simulate the real behavior of glaciers. …”
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Deep Ocean Ventilation: A Comparison Between a General Circulation Model and Data‐Constrained Inverse Models by Bruno Millet, Casimir de Lavergne, William R. Gray, Christian Éthé, Gurvan Madec, Mark Holzer, Tim DeVries, Geoffrey Gebbie, Didier M. Roche

“…Abstract Ocean ventilation, or the transfer of tracers from the surface boundary layer into the ocean interior, is a critical process in biogeochemical cycles and the climate system. …”
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A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…The process employs Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) to filter out noise from the vibration signals emitted by bearings; secondly, considering the issue with the conventional Harris Hawks Optimization (HHO) algorithm which tends to prematurely converge to local optima, the differential evolution mutation operator is introduced and the escape energy factor is improved from linear to nonlinear in IHHO; then, a double-layer network model based on DBN-ELM is proposed, to avoid the number of hidden layer nodes of DBN from human experience interference, and IHHO is used to optimize DBN structure, which is denoted as IHHO-DBN-ELM method; with the optimal structure is obtained by using a combined IHHO optimized DBN and ELM; in conclusion, the proposed IHHO-DBN-ELM approach is applied to the bearing fault detection using the Western Reserve University's bearing fault dataset. …”
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End-to-End Multi-Modal Speaker Change Detection with Pre-Trained Models by Alymzhan Toleu, Gulmira Tolegen, Alexandr Pak, Jaxylykova Assel, Bagashar Zhumazhanov

“…The extracted features are fused and processed through a fully connected classification network, with layer normalization and dropout for stability and generalization. …”
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Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

“…The process includes training floating-point models, applying tensor decomposition algorithms, binarizing the decomposed layers, and fine tuning the resulting models. …”
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