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961
An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot
Published 2020-01-01“…The algorithm has very strong exploring precision and variable function, which makes this algorithm of fewer iterations, and can effectively improve the real-time detection of pipeline leakage source in pipeline corridor. …”
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962
The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam
Published 2025-07-01“…Performance improved marginally for the second array (i.e., 200–500 m downstream), but position efficiency was ultimately low (1%), variable across transmitter locations, and negatively correlated with discharge. …”
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963
Research on multi-UAV autonomous obstacle avoidance algorithm integrating improved dynamic window approach and ORCA
Published 2025-04-01“…Confronted with the difficulty of balancing calculation speed and accuracy in the DWA algorithm, a dynamic time step adjusted according to the environment was designed to weigh the computational efficiency. Aiming at the poor environmental adaptability of the DWA algorithm, a trajectory evaluation function with variable weights was put forward to improve environmental fitness. …”
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964
Tomato quality based on colorimetric characteristics of digital images
“…The correlation between colorimetric and physico-chemical variables was analyzed using the Pearson’s coefficient. …”
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965
Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures
Published 2012-01-01“…The mixture components of GMM provide the membership functions for the input-output fuzzy sets. By treating consequent part as a function of fuzzy measures, we derived its coefficients from the covariance matrices found directly from GMM and the defuzzified output constructed from both the premise and consequent parts of the nonadditive fuzzy rules that takes the form of Choquet integral. …”
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966
Anomalous Behavior in Weather Forecast Uncertainty: Implications for Ship Weather Routing
Published 2025-06-01“…This allows uncertainty to be quantified not as a static estimate, but as a function sensitive to both variable type and prediction horizon. …”
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967
Path following control of underground mining articulated vehicle based on the preview control method
Published 2019-05-01“…By considering the relationship between the position and situation of the vehicle, the objective function of the predictive control was optimized by minimizing the lateral deviation of the following path and the heading angle deviation of the vehicle. …”
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968
The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine
Published 2019-03-01“…After optimization of parameters for kernel function, the bed load transport rate was predicted and obtained results from different models were investigated in terms of correlation coefficient (R), Root mean square error (RMSE) and Nash-Sutcliffe (NSE). in order to assess the capability of SVM in quantification of bed load under varied hydraulic conditions, Froude number (Fr) and bed slope of channel (S0) were selected as a parameters describing the hydraulic conditions and median diameter of the sediment particles (D50) and shear Reynolds number (Re*) were considered as a representative of sediment characteristic. …”
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969
Presenting a model of political behavior based on the theory of shadow management in the public sector with a hybrid method
Published 2025-03-01“…Components related to power and political behavior based on shadow management theory were identified and validated with the kappa coefficient. Based on the research findings, political behavior in the public sector has 72 components in three different dimensions: the white political behavior dimension with 28 components that has a practical function and is based on political behavior knowledge and helps achieve organizational goals; the black political behavior dimension with 26 components that are harmful and act in favor of groups under the supervision of shadow managers and prevent the achievement of the organization's goals; and the gray political behavior with 18 components that may be both beneficial and detrimental to the organization's goals. …”
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970
Exploring the Future Energy Value of Long-Duration Energy Storage
Published 2025-03-01“…The negative effect of lower roundtrip efficiency on value is also found to be scenario-dependent, with the energy value in higher VRE scenarios being less sensitive to roundtrip efficiency and more supportive of longer storage durations. …”
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971
Domain knowledge-driven decomposition-based large-scale optimization for ship cabin structures
Published 2025-06-01“…Each girder size variable is separately grouped, and the corresponding subproblem's objective function is the weight of the cabin structure. …”
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972
Proportional Topology Optimization algorithm for two-scale concurrent design of lattice structures
Published 2023-06-01“…Here, the objective function is reformulated such that the contribution of each micro-scale design variable can be determined, facilitating the employment of PTO. …”
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973
Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter
Published 2025-09-01“…The SEPIC converter is non-inverting and can both step up and step down the voltage with low ripple current. It is a nonlinear variable structure that uses sliding mode control (SMC) for stable operation. …”
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974
Robot welding trajectory optimization based on intersecting line welds
Published 2024-01-01“…ObjectiveOperational efficiency, smoothness and energy consumption have been bottlenecks in the trajectory optimization for industrial robots in the non-contact processing such as welding and painting. …”
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975
Sustainability Reporting in Value Creation: The Critical Mediation of Environmental Management Accounting
Published 2024-12-01“…This study examines the essential function of Environmental Management Accounting (EMA) as a mediating variable in the correlation between sustainability report disclosures and firm value. …”
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976
Design optimization of inner and outer‐rotor PMSGs for X‐ROTOR wind turbines
Published 2024-10-01“…The GA optimization algorithm was used to find optimized designs in terms of efficiency, weight, cost, and temperature rise. In order to find the global optimization solution within the allowed variable range and in accordance with the constraints, a combined objective function has also been defined. …”
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977
DESIGN OF BED SADDLE OF HIGH-SPEED PRECISION CNC LATHE BASED ON TOPOLOGY OPTIMIZATION
Published 2017-01-01“…Firstly,according to variable density method,which makes bed saddle quality be objective function and allows stiffness as well as natural frequency to be constraint condition was established,then the best structure layout of bed saddle was acquired as a result of topology optimization.Finally,the integral design of the bed saddle was accomplished,with the basis of best structure layout of bed saddle and the requirements of the reasonable design. …”
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978
A novel unified variational finite difference (VFD) solution method for optimal control problems
Published 2025-05-01“…To do so, the general form of quadratic performance index function and nonlinear state equations are considered first. …”
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979
Finding the optimal probe state for multiparameter quantum metrology using conic programming
Published 2024-11-01“…The algorithm involves a conic program, which minimizes a linear objective function subject to conic constraints on a operator-valued variable. …”
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980
A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures
Published 2025-06-01“…Sensitivity analysis identified the ultimate adiabatic temperature rise as the dominant parameter (78% variance contribution), followed by synergistic interactions between hydration rate parameters, and indirect coupling effects of boundary correction coefficients. These findings guided a phased optimization strategy, as follows: prioritizing high-precision calibration of dominant parameters while relaxing constraints on low-sensitivity variables, thereby balancing accuracy and computational efficiency. …”
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