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1121
Research on the Control Performance of Depth-Fixed Motion of Underwater Vehicle Based on Fuzzy-PID
Published 2023-01-01“…When the mass and hydrodynamic coefficient of the underwater vehicle change, the fuzzy-PID controller can still maintain good control performance and has strong adaptive ability.…”
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1122
Mechanical Properties and Statistical Damage Constitutive Model of Rock under a Coupled Chemical-Mechanical Condition
Published 2019-01-01“…To investigate the mechanical damage evolution process of rock under a coupled chemical-mechanical (CM) condition, an improved statistical damage constitutive model was established using the Drucker-Prager (D-P) strength criterion and two-parameter Weibull distribution. The damage variable correction coefficient and chemical damage variable which was determined by porosity were also considered in the model. …”
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1123
Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach
Published 2024-10-01“…Notably, the case considering fixed and operating cost variables together as a single cost variable in the objective function, referred to as annualised cost (case C), offered optimal cost quantification with relaxed technical constraints. …”
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1124
Study on GPR Image Restoration for Urban Complex Road Surfaces Using an Improved CycleGAN
Published 2025-02-01“…In urban road detection using Ground Penetrating Radar (GPR), challenges arise from complex and variable road structures and diversified detection environments. …”
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1125
Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany
Published 2025-07-01“…To overcome these limitations, we employ the BO–IPOPT, integrating the global search capabilities of BO with the efficient local convergence and constraint fulfillment of the IPOPT. …”
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1126
Notice of Violation of IEEE Publication Principles: VVC/H.266 Intra Mode QTMT Based CU Partition Using CNN
Published 2022-01-01“…Due to the use of brute force quest for residual rate-distortion the quad-tree and multi-type tree (QTMT) structure of the coding unit (CU) split and contributes over 98% of the encoding time. This structure is efficient in coding, however, increases computational complexity. …”
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1127
Impact of municipal wastewater use on urban and peri‑urban agricultural productivity: the endogenous treatment-effects approach
Published 2025-06-01“…Using survey data from 416 vegetable farmers, we employed a semi-log production function augmented with an endogenous binary-treatment effect equation to estimate the drivers and impact of MWW use on value of vegetable output, accounting for selection bias and omitted variable problem. …”
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1128
Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs
Published 2025-04-01“…On the other hand, highly permeable fractures function as the main flow conduits within such reservoirs. …”
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1129
Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree
Published 2025-06-01“…Results: The MLP model demonstrated efficiency in estimating monthly precipitation by minimizing MSE to 0.04. …”
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1130
Optimal Operation of CCHP Smart Distribution Grid with Integration of Renewable Energy
Published 2025-01-01“…Recently, electric distribution grids supply not only electric loads but also heating and cooling loads simultaneously to increase the efficiency of the system and reduce the emission of greenhouse gases. …”
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1131
Optimal Capacity Configuration of Residential Solar-Hydrogen Coupling Energy System with Hydrogen Vehicle Load
Published 2023-07-01“…Secondly, by setting the capacity of the equipment in the system as the optimization variable, and the minimization of annual investment cost of the system as the objective function, the reliability of energy supply and other factors as the constraints, the system optimal capacity configuration model is established. …”
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1132
Convolutional neural networks for accurate estimation of canopy cover
Published 2025-03-01“…Canopy Cover (CC) is a key variable in agriculture, providing critical information on crop growth and health. …”
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1133
A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles
Published 2025-04-01“…Notably, the approach achieves substantial reductions in power losses during peak demand periods with distributed generation incorporation while maintaining voltage profiles within the stringent operational bounds of 0.94 to 1.0 per unit, thus ensuring stability amidst variable load conditions. Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
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1134
Food Supply Chain: A Framework for the Governance of Digital Traceability
Published 2025-06-01“…Under the context of increasing demand for transparency, efficiency, and trust in food systems, digital traceability is emerging as a key strategy for improving value creation across agri-food supply chains. …”
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1135
Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study
Published 2025-03-01“…In addition, the net present value (NPV) serves as the objective function. To optimize the selected input variables, including tubing inside diameter, gas injection rate, and separator pressure, various optimization algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), genetic algorithm (GA), and a Novel optimization algorithm in a gas-lift study called grey wolf optimization (GWO), were utilized considering the constraint of the limited available gas. …”
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1136
Rehabilitation impact indices and their independent predictors: a systematic review
Published 2013-09-01“…Then, various names of the same formula were used to identify studies, limited to articles in English and up to 31 December 2011, including case–control and cohort studies, and controlled interventional trials where RIIs were outcome variable and matching or multivariate analysis was performed.Results The five RIIs identified were (1) absolute functional gain (AFG)/absolute efficacy/total gain, (2) rehabilitation effectiveness (REs)/Montebello Rehabilitation Factor Score (MRFS)/relative functional gain (RFG), (3) rehabilitation efficiency (REy)/length of stay-efficiency (LOS-EFF)/efficiency, (4) relative functional efficiency (RFE)/MRFS efficiency and (5) revised MRFS (MRFS-R). …”
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1137
Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios
Published 2025-01-01“…Demonstrated effectively in China Southern Grid’s island microgrid setup, LE-LFC emerges as an advanced solution for modern grid variability, offering superior robustness, adaptability, and learning speed, thus enabling flexible and efficient energy system management.…”
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1138
Applications of mutagenesis methods on affinity maturation of antibodies in vitro
Published 2016-01-01“…In chain shuffling, a variable heavy or light chain of a specific antibody is recombined with a complementary variable domain library. …”
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1139
Stability analysis of the inner dump with inclined base considering anti-slip pillar
Published 2024-10-01“…Taking the angle of inclination of the basement stratum and the discharge height of the soil disposal site as the variables for research, it was obtained that the angle of inclination of the basement stratum α or the height of the soil disposal H and the slope stability coefficient Fs were negatively correlated with the inverse proportionality function, the angle of inclination of the basement stratum had a greater influence on the slope stability, and the height of the discharge height of the soil disposal site had a second greater influence on the stability of the slope. …”
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1140
Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks
Published 2025-01-01“…One of the critical innovations within this design is a class of trainable activation functions that eliminate the need for traditional weight parameters, thereby providing scalable and computationally efficient solutions. …”
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