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Reduction of Carbon Footprint in Mechanical Engineering Production Using a Universal Simulation Model
Published 2025-05-01“…The objective of this model is to enable enterprises to accurately quantify, monitor, and simulate CO<sub>2</sub> emissions generated during various manufacturing processes, thereby identifying and evaluating effective reduction strategies. …”
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102
Electrochemical CO2 reduction in ionic liquids: a 3D modeling approach
Published 2025-01-01“…This study fulfills a critical need in this field, through the development of modeling tools capable of guiding groundbreaking technical advances in liquid-phase electrochemical CO _2 reduction (ECR). …”
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103
Historical Drivers and Reduction Paths of CO<sub>2</sub> Emissions in Jiangsu’s Cement Industry
Published 2025-03-01“…Despite the full deployment of existing reduction methods, Jiangsu’s cement industry is expected to face an emissions gap of approximately 10 million tons to achieve carbon neutrality by 2060, highlighting the need for innovative emission reduction technologies or carbon trading to meet carbon neutrality goals.…”
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104
Sufficient dimension reduction on partially nonlinear index models with applications to medical costs analysis.
Published 2025-01-01“…In this study, we propose a partially nonlinear index model (PNIM) that integrates partially sufficient dimension reduction with a rapid instrumental variable pilot estimation method. …”
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105
Focus on Disaster Risk Reduction by ResNet-CDMV Model After Natural Disasters
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106
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107
Research on the optimal spacing resistance reduction technology for ship formation
Published 2024-12-01“…Additionally, this paper includes an experimental study of a ship formation model, and the calculation results are compared with the experimental results, verifying the reliability of the swarm motion resistance calculation method. …”
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108
Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems
Published 2025-03-01“…The findings reveal that, for usage profiles analogous to the training data, both the CHMC and NHMC models demonstrate comparable performance without reduction. …”
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109
Estimation of chlorophyll content in rice canopy leaves based on main base analysis and dimensionality reduction method
Published 2018-07-01“…Due to high dimensional characteristics of unmanned aerial vehicle (UAV) hyperspectral remote sensing data, we proposed a dimension reduction method based on main base analysis. The 400-1 000 nm bands which are sensitive to chlorophyll, were selected to be subjected to Gram_Schmidt transform. …”
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110
Carbon Emission Reduction in Traffic Control: A Signal Timing Optimization Method Based on Rainbow DQN
Published 2025-01-01“…A comparison with DQN and D3QN models further demonstrates the superiority of the proposed model, achieving a 15% reduction in average waiting time and a 6.5% reduction in CO<sub>2</sub> emissions. …”
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111
A Novel Structural Modification Method for Vibration Reduction: Stiffness Sensitivity Analysis with Principal Strain Application
Published 2022-01-01“…The validity of the proposed method is examined through numerical simulation with a finite element method (FEM) model of a thin plate. …”
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112
Pre-reduction of Titanium Concentrate with Pulverized Coal and Iron Power Based on Response Surface Methodology Method
Published 2025-04-01“…The response surface method experiment shows that temperature is the most important factor, followed by time and then amount of iron powder, and the interaction between temperature and time is greater than that between heating time and the amount of iron powder added in the degree of influence on the reduction of iron. …”
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113
A Variable Reduction Approach for Microbeams on Elastic Foundation
Published 2025-05-01“…This work proposes a novel approach. Separate models for the beam and the elastic foundation are developed using the finite element method. …”
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114
Assessing the Applicability of a Partial Alcohol Reduction Method to the Fine Wine Analytical Composition of Pinot Gris
Published 2025-08-01“…Over the last decade, several methods have been developed to handle this impact and reduce the alcohol content of wines. …”
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115
An Optimization‐Simulation Method for Low‐Impact‐Development (LID) Facilities Based on CCMO Algorithm Combining an Integrated Finite Volume Coastal Ocean and Drainage Pipe Model...
Published 2025-05-01“…Abstract The employment of Low Impact Development (LID) facilities is an effective means to alleviate urban flood in the context of climate change and urbanization. Existing methods for evaluating the hydrological reduction and control effect of LID facilities are mostly based on hydrological models, which have inherent shortages in accurate flood process simulation. …”
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116
Xenon anaesthesia is associated with a reduction in frontal electroencephalogram peak alpha frequency
Published 2024-12-01“…Background: Administration of conventional anaesthetic agents is associated with changes in electroencephalogram (EEG) oscillatory dynamics, including a reduction in the peak alpha frequency. Computational models of neurones can reproduce such phenomena and are valuable tools for investigating their underlying mechanisms. …”
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The Impact of Different Government Subsidy Methods on Low-Carbon Emission Reduction Strategies in Dual-Channel Supply Chain
Published 2021-01-01“…This paper constructs a dual-channel supply chain decision-making model composed of low-carbon emission reduction manufacturers and retailers and studies the optimal decision-making problem of the supply chain under subsidies by the government based on emission reduction R&D and per unit product emission reduction. …”
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119
System Reliability Analysis of Slope Stability of Earth Rock Dams Based on Finite Element Strength Reduction Method
Published 2025-04-01“…To overcome the limitations of rigid body limit equilibrium methods in earth rock dam slope stability analysis, this study develops a system reliability framework using the finite element strength reduction method (FEM-SRM). …”
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120
Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting
Published 2025-01-01“…It has evolved from statistical methods to artificial intelligence-based techniques that use machine learning models. …”
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