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1381
Correlation of Immune Parameters in Breast Cancer Patients Undergoing General Anesthesia: post-hoc Analysis of the TeMP Study
Published 2025-02-01“…Spearman correlation coefficients and heat maps were used for analysis.Results. …”
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1382
Incorporating Traffic Flow Model into A Deep Learning Method for Traffic State Estimation: A Hybrid Stepwise Modeling Framework
Published 2022-01-01“…We build a hybrid cost function to adjust the weights of model-driven and data-driven proportions. …”
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1383
Encapsulation Based Method for Natural Frequency Identification of Deployable Solar Arrays with Multiple Plates
Published 2021-01-01“…However, for the batch production of small satellites, the accuracy and efficiency of traditional ground modal testing methods are limited. …”
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1384
A De-Nesting Hybrid Reliability Analysis Method and Its Application in Marine Structure
Published 2024-12-01“…Traditional methods for hybrid reliability analysis usually require a nested optimization framework, which will lead to too many calls to the limit state function (LSF) and result in poor computational efficiency. …”
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1385
Novel Approximations to the Damped Parametric Driven Pendulum Oscillators
Published 2023-01-01“…For analyzing and solving the current pendulum equation, we reduce this equation to the damped Duffing equation (DDE) with variable coefficients. After that, the DDE with variable coefficients is divided into two cases. …”
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1386
Sexuality Assessment in Women Diagnosed with Ovarian Cancer
Published 2023-10-01“…<br /><strong>Objective:</strong> to evaluate sexuality in women diagnosed with ovarian cancer, with central interest in changes in sexual function, sexual desire, sexual satisfaction and sexual problems related to the disease and its treatment. …”
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1387
VARIATION OF EMBRYO WEIGHT IN BREEDING ACCESSIONS OF CARROT
Published 2017-07-01“…The method of maximum likelihood was used to reveal correspondences of experimental function of distribution in embryo weight in seed population of accessions studied and normal distribution. …”
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1388
Modeling and Regulation of Dynamic Temperature for Layer Houses Under Combined Positive- and Negative-Pressure Ventilation
Published 2024-10-01“…Additionally, a temperature control method for a layer house is designed using a variable universe fuzzy PID control algorithm (VFPID). …”
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1389
Flexible Reconfiguration for Optimal Operation of Distribution Network Under Renewable Generation and Load Uncertainty
Published 2025-01-01“…Minimizing the operational costs is difficult when there is a high penetration of renewable resources and variability of loads, which introduces uncertainty. …”
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1390
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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1391
A robust optimization model for allocation-routing problems under uncertain conditions.
Published 2025-01-01“…Temporary hospital capacity significantly influences the objective function more than general hospitals. As the problem size increases, the robust optimization model performs better than the deterministic model. …”
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1392
DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK
Published 2025-06-01“…This paper proposes a novel hybrid technique, termed Decision Tree with Hill Climbing (DTHC), for efficient spectrum hole detection in CRNs. The objective of the DTHC method is to improve detection accuracy while minimizing false alarm rates. …”
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1393
Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model.
Published 2024-04-01“…The brain produces diverse functions, from perceiving sounds to producing arm reaches, through the collective activity of populations of many neurons. …”
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1394
Energy‐maximising moment‐based constrained optimal control of ocean wave energy farms
Published 2021-10-01“…The authors develop a framework under which the objective function (and system variables) can be mapped to a finite‐dimensional tractable quadratic program (QP), which can be efficiently solved using state‐of‐the‐art solvers. …”
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1395
Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology
Published 2025-07-01“…A five-dimensional objective system—comprising energy efficiency, spatial quality, economic cost, ecological benefits, and cultural expression—was established, alongside the identification and standardization of 29 key variables to construct mapping relationships among objective functions. …”
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1396
Semantic ECG hash similarity graph
Published 2025-07-01“…Subsequently, a lightweight linear hash function is utilized to produce a hash representation for the unseen signal. …”
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1397
Structural strength analysis and optimization of converter lug based on Kriging model
Published 2022-07-01“…In this paper, machine learning methods were considered to approximate the functional relationships between design variables and responses. …”
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1398
An Optimization Model for Shell Plate Seam Landing Using Minimum Manufacturing Cost and a Solution by Genetic Algorithm
Published 2024-01-01“…In this paper, a new optimization model and its solution method for the landing of seams and butts (for convenience, seam and butt are simply called seam) on the ship hull surface are proposed in order to improve the shipbuilding efficiency. The minimum manufacturing cost of ship hull shell plates (SHSPs) is the objective function, the rules and requirements for the seam position and the size of a single shell plate are the constraints, and the position and shape of the seam are the design variables. …”
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1399
Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem
Published 2024-09-01“…This study introduces a neuro-evolution of augmenting topologies (NEAT) algorithm aimed at optimizing the scheduling efficiency in flexible job shops by minimizing both maximum completion and average lag times, taking into account variables like sporadic job arrivals, variable machining durations, tool wear, preventive maintenance, and equipment failures. …”
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1400
Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model
Published 2015-01-01“…The accuracy of TEC prediction can be improved further through performing a four-coefficient function expression of Az versus MODIP. …”
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