Research on Aerodynamic Noise Reduction for High-Speed Trains by Yadong Zhang, Jiye Zhang, Tian Li, Liang Zhang, Weihua Zhang

“…An analysis of noise reduction methods based on the main noise sources was performed. …”
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Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation by S. Rashmi, S. Srinath, R. Rakshitha, B. V. Poornima

“…To leverage the strengths of these individual models, three ensemble methods are explored, that includes supervised ensembling with XGBoost, unsupervised ensembling with the DBSCAN algorithm, and mathematical aggregation using weighted averaging. …”
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Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition by Jae Eun Ko, SeungHui Kim, Jae Ho Sul, Sung Min Kim

“…Results: The proposed method outperformed models using single-reconstruction methods or raw one-dimensional data. …”
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Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…This umbrella review sought to identify post-processing bias mitigation methods and tools applicable to binary healthcare classification models in healthcare and summarize bias reduction effectiveness and accuracy loss. …”
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Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging by Youngjin Han, Inwhee Joe

“…By integrating Principal Component Analysis (PCA)<i>,</i> hyperparameter optimization, and resampling methods, as well as combining Edited Nearest Neighbors (<i>ENN</i>) with the Synthetic Minority Oversampling Technique (SMOTE), the model significantly improves predictive accuracy and model generalization. …”
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The Impact of Activity Based Costing (ABC) on Cost Reduction by Qabil Zrar Hamad, Khalis Mheadin Qadir, Muhamad Khoshawi Mustafa, Muhamad Azad Azeez, Shifa Arif Omer

“…The study also tested the correlation and simple regression models. The results provided a significant relationships and impact exist between activity-based costing technique with cost reduction and significant relationship and significant impact with competitive price. …”
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Optimized Controller Design Using Hybrid Real-Time Model Identification with LSTM-Based Adaptive Control by Yeon-Jeong Park, Joon-Ho Cho

“…Most of the processes with various dynamic characteristics can be reduced to the Second Order Plus Time Delay (SOPTD) model by using the model reduction method. We propose a novel hybrid approach that combines Long Short-Term Memory (LSTM)-based real-time model identification with Genetic Algorithms to enhance the Smith predictor control structure. …”
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Numerical Studies on Aerodynamics Performance of Modified Basebleed to Reduce Fuel Consumption in Squareback Cars by M. S. Prasath, C. Sasikumar, G. Sivaraj

“…The experimental testing is conducted using low speed subsonic wind tunnel to validate the numerical simulation results of car model for the varying velocity. Research witnessed that the fuel consumption rate is reduced to 4.02% for the SUV car model with modified basebleed than without basebleed, based on the reduction in coefficient of drag (CD). …”
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The Merit-based Incentive Payment System: Pearson’s Chi-Square and Categorical Dependent Variable Models Analyzed for Domains---Effective Clinical Care and Efficiency/Cost Reductio... by Amrita Shenoy

“…The Categorical Dependent Variable Method examined the association between the dependent and independent variables…”
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Carbon Capture and Storage (CCS) Implementation as a Method of Reducing Emissions from Coal Thermal Power Plants in Poland by Michał Kopacz, Dominika Matuszewska, Piotr Olczak

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Lie Symmetry Reductions and Exact Solutions to the Rosenau Equation by Ben Gao, Hongxia Tian

“…The Lie symmetry analysis is performed on the Rosenau equation which arises in modeling many physical phenomena. The similarity reductions and exact solutions are presented. …”
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Review article developing safety and enjoyment factors in karst cave tourism model: review discussing the model, factors and results by Trio Yonathan Teja Kusuma, Susy Susmartini, Bambang Suhardi, Lobes Herdiman

“…The systematic literature review method uses the PRISMA method and bibliometric analysis uses Vosviewer. …”
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LAMARS: Large Language Model-Based Anticipation Mechanism Acceleration in Real-Time Robotic Systems by Yifang Gao, Wei Luo, Xuye Wang, Shunshun Zhang, Patrick Goh

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Comparison of methods for estimating reservoir sedimentation by Aline Guidolin da Luz, Bruna Arcie Polli, Tobias Bernward Bleninger, Bernardo Lipski, Elizabete Bugalski de Andrade Peixoto, Ana Lia Warcheski

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Framework for Cement Plants Assessment Through Cement Production Improvement Measures for Reduction of CO₂ Emissions Towards Net Zero Emissions by Esraa Khalil, Mohamed AbouZeid

“…The assessment identified a potential CO₂ reduction of 20–30% through targeted improvements, highlighting that even well-established cement plants have opportunities for emissions reduction and efficiency enhancement. …”
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Corrigendum to “Design and methods of an adaptive trial to test comparative effectiveness of readmission reduction approaches following infection and sepsis hospitalizations (ACCOM... by Kristin Mayes, Victor B. Talisa, Adelina Malito, Florian B. Mayr, Kelly Williams, Kalpana Char, Richard Wadas, Elizabeth Lorenzi, Kert Viele, Rana Awdish, Derek C. Angus, Chung-Chou Ho Chang, Sachin Yende

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Conceptual Development of Urban Super-blocks Model in Urban Planning Based on Content Analysis Method by Hafez Mahdnejad

“…Based on this, current research purpose is conceptual development of urban superblocks model for the use of urban planners and policy makers of the country.The current research is applied-developmental in terms of purpose and descriptive-analytical in terms of data collection method. …”
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Reduced Order Modeling for Direct Time-Response Analysis Using the Enhanced Craig–Bampton Method by Seung-Hwan Boo, Cheolgyu Hyun, San Kim, Chaemin Lee

“…The increasing demand for dynamic analysis of large-scale structural systems has highlighted the need for efficient model reduction methods. Reduced order modeling allows large finite element models to be represented with significantly fewer degrees of freedom while retaining essential dynamic characteristics. …”
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Price Forecast of Treasury Bond Market Yield: Optimize Method Based on Deep Learning Model by Weiying Ping, Yuwen Hu, Liangqing Luo

“…Then, the PCA method is used for dimensionality reduction and reconstruction, and finally, the LSTM deep learning model with Bayesian optimized hyperparameters is used to achieve rolling time prediction of the treasury bond market yield price. …”
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APPROXIMATING MATHEMATICAL MODEL DEVELOPMENT ACCORDING TO POINT EXPERIMENTAL DATA THROUGH “CUT-GLUE” METHOD by Rudolf Anatolyevich Neydorf

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