Analysis of Unbalance Response and Vibration Reduction of an Aeroengine Gas Generator Rotor System by Haibiao Zhang, Xing Heng, Ailun Wang, Tao Liu, Qingshan Wang, Kun Liu

“…These models are then integrated using the differential quadrature finite element method (DQFEM) to create a comprehensive dynamic model of the gas generator rotor system. …”
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Estimation of truck reduction factors applicable to calculation of parameters of a regulated intersection by V. V. Donchenko, A. N. Shumskiy

“…Within the framework of the study performed, natural methods of data collection were used for the subsequent calculation. …”
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Nonlinear Complex Dynamics of Carbon Emission Reduction Cournot Game with Bounded Rationality by LiuWei Zhao

“…Based on the hypothesis of participant’s bounded rationality, our study formulated a novel Cournot duopoly game model of carbon emission reduction and, subsequently, analyzed the dynamic adjustment mechanism of emission reduction for enterprises. …”
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Torque ripple reduction and increasing of torque per volume for hybrid electrical vehicle by A. Hosseinpour

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Kinetic Analysis of Molten Oxide Reduction Using Bottom-Blown Hydrogen Injection by Lijin Lu, Feng Wang, Haifeng Wang, Jian Qiu, Xiaodong Ping

“…The hydrogen utilization rate reached a maximum of 41.87%, then decreased continuously and finally maintained at about 20%. Using the method of model fitting, it was found that the hydrogen-based molten reduction conformed to the phase boundary reaction model (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mfenced separators="|"><mrow><mi>α</mi></mrow></mfenced><mo>=</mo><msup><mrow><mn>1</mn><mo>−</mo><mo>(</mo><mn>1</mn><mo>−</mo><mi>α</mi><mo>)</mo></mrow><mrow><mn>1</mn><mo>/</mo><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>), the corresponding mechanism function is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>f</mi><mfenced separators="|"><mrow><mi>α</mi></mrow></mfenced><mo>=</mo><msup><mrow><mn>2</mn><mo>(</mo><mn>1</mn><mo>−</mo><mi>α</mi><mo>)</mo></mrow><mrow><mn>1</mn><mo>/</mo><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>, where α stands for the reduction conversion, and the reaction rate constant <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>(</mo><mi>T</mi><mo>)</mo></mrow></semantics></math></inline-formula> is 2.37 × 10⁻⁴ s⁻¹ under the experimental conditions.…”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“…It achieves this by iteratively selecting the most relevant features based on a combined normalized mean rank of five feature ranking methods. This reduction in dimensionality enhances the performance of predictive models and provides valuable insights into the key factors influencing student performance. …”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“…It achieves this by iteratively selecting the most relevant features based on a combined normalized mean rank of five feature ranking methods. This reduction in dimensionality enhances the performance of predictive models and provides valuable insights into the key factors influencing student performance. …”
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Comparison of simulating visibility using XGBoost and IMPROVE method: a case study in East China by Xin Zhang, Yue Wang, Zibo Zhuang, Yuxi Liu, Chengduo Yuan, Lei Su, Jingyuan Shao, Pak-Wai Chan

“…However, there is a relative scarcity of research on post-processing methods for visibility obtained from the WRF-Chem atmospheric chemistry model results. …”
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Leaf disease detection and classification in food crops with efficient feature dimensionality reduction. by Khasim Syed, Shaik Salma Asiya Begum, Anitha Rani Palakayala, G V Vidya Lakshmi, Sateesh Gorikapudi

“…The proposed Efficient Labelled Feature Dimensionality Reduction utilizing CNN-BiLSTM (ELFDR-LDC-CNN-BiLSTM) model is compared to current models to show its effectiveness in reducing extracted features for leaf detection and classification tasks.…”
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Experimental Study on Drag Reduction Characteristics of Bionic Earthworm Self-Lubrication Surface by Guomin Liu, Xueqiao Wu, Meng Zou, Yuying Yan, Jianqiao Li

“…In the present study, a coupling bionic method is used to study the drag reduction characteristics of corrugated surface with lubrication. …”
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A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

“…Experimental results comparing LRCT with state-of-the-art WF methods demonstrate that the proposed LRCT achieves 99.34% accuracy in a closed-world scenario, outperforming other benchmark models. …”
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Impact of nudge strategies on carbon emission reduction behavioral decisions of dairy farmers by Haoyu Lin, Shumeng Ge, Xuanguo Xu

“…Quantitative data were analyzed using stepwise regression models and instrumental variable (IV) methods to evaluate the effects of nudge strategies on carbon reduction behavior. …”
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ANN-based pulse shape discrimination for background reduction in neutron depth profiling by Hwijoon Jeong, Jinhwan Kim, Byung Gun Park, Kyung Taek Lim

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Design of multi-link rigid-flexible manipulator and analysis of finger vibration reduction by GUAN Shengqi, HAO Zhenhu, WANG Jingguo, MA Tengfei, SHI Hongyu

“…Secondly, by simplifying the structure of the manipulator finger, the rigid-flexible coupling dynamic model of finger multi-link with tip mass was constructed by using Lagrange theory and finite element discrete method, and the dynamic equation of the manipulator finger in the motion process was solved. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…This study proposes a novel experimental analysis that extensively explores various dimensionality reduction strategies in conjunction with supervised machine learning models to effectively identify spoofed voice signals. …”
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Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

“…The research findings indicate that the ML model provides satisfactory prediction values with an R2 value of 0.9043, root mean square error of 48.5147 and mean absolute percentage error of 0.0484. …”
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Noise Reduction Scheme for High-speed Low-floor Tram Seating Areas by PAN Minkai, CHEN Yunsha

“…To ensure that high-speed low-floor trams can maintain good noise performance while increasing the operating speed, it is necessary to carry out research on the optimization of the whole vehicle noise scheme. [Method] Based on the FE (Finite Element)-SEA (Statistical Energy Analysis) method, a SEA model of the whole vehicle is established, and the vehicle interior noise is simulated and predicted through acoustic software. …”
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Machine Learning Exploration of Experimental Conditions for Optimized Electrochemical CO2 Reduction by Vuri Ayu Setyowati, Shiho Mukaida, Kaito Nagita, Takashi Harada, Shuji Nakanishi, Kazuyuki Iwase

“…Abstract Electrochemical CO2 reduction has attracted significant attention as a potential method to close the carbon cycle. …”
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Experimental investigation on mobility reduction factor of surfactant-alternating-gas foam flooding by Hamed Hematpour, Syed Mohammad Mahmood, Negar Hadian Nasr, Mojtaba karimi, Mahmood Bataee

“…Foam flooding is one of the common Enhance Oil Recovery (EOR) methods to mitigate the drawbacks of gas injection process. …”
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Tribochemical synthesis of functionalized covalent organic frameworks for anti-wear and friction reduction by Xiaozhi Zhang, Qi Lu, Yaojie Yan, Tingting Zhang, Shujuan Liu, Meirong Cai, Qian Ye, Feng Zhou, Weimin Liu

“…Furthermore, the tribochemical-induced SO@COF-LZU1 exhibited remarkable tribological performance with a low friction coefficient of 0.1 and 95.5% reduction in wear volume when used as additives of 500SN base oil. …”
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