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A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar
Published 2025-07-01“…First, we extend the observation model of the gamma Gaussian inverse Wishart probability hypothesis density filter to three-dimensional space by incorporating a spherical–radial cubature rule for improved nonlinear filtering. Second, variational Bayesian processing is integrated to enable the joint estimation of the target state and measurement noise parameters, and a recursive process is derived for both Gaussian and Student’s t-distributed measurement noise, enhancing the method’s robustness against noise uncertainty. …”
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62
Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM
Published 2025-01-01“…Aiming at the diversity and flexibility of electric loads and their inherent nonlinearity and temporality in the context of the new era. A forecasting method is proposed combining Variational Modal Decomposition (VMD) and EDE-BiLSTM. …”
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Methane Concentration Inversion Based on Multi-Feature Fusion and Stacking Integration
Published 2025-03-01Get full text
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64
Integrating agent-based models and clustering methods for improving image segmentation
Published 2025-01-01Get full text
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65
Testing life-cycle assessment data quality with Benford’s law reveals geographic variation
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RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT)
Published 2023-01-01“…A gearbox fault diagnosis method based on DS evidence theory, which integrates oil and vibration with multiple parameters is proposed. …”
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68
The evaluation of a definite integral by the method of brackets illustrating its flexibility
Published 2025-06-01“…This article illustrates the method by evaluating an integral by several variations of the method. …”
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69
Numerical Solutions of Advection Diffusion Equations Using Finite Element Method
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70
An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring
Published 2025-06-01“…In deformation monitoring, complex environments, such as seismic excitation, often lead to noise during signal acquisition and transmission processing. This study integrates sequential variational mode decomposition (SVMD), a dual-parameter (DP) model, and an improved wavelet threshold function (IWT), presenting a denoising method termed SVMD-DP-IWT. …”
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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches
Published 2025-05-01“…This study addresses the optimization of the Vehicle Routing Problem (VRP) with prioritized customers by introducing and comparing two advanced solution approaches: a metaheuristic-based hyperheuristic framework and a Variational Autoencoder (VAE)-based hyperheuristic. …”
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A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities
Published 2024-12-01“…The method integrates a dual inertial extrapolation step, a relaxation step, and the subgradient extragradient technique, resulting in faster convergence than existing inertia-based subgradient extragradient methods. …”
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The Use of Mixed Methods in Research on Resilience Post Sexual Assault: An Integrative Review
Published 2025-06-01“…<b>Objectives:</b> This integrative review explores how mixed-methods research (MMR) has been used to study resilience and healing following sexual assault. …”
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Methods for Designing High-Precision Relaxation Oscillator
Published 2025-03-01Get full text
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Reliability Enhancement Methods for Relaxation Oscillator with Delay Time Cancellation
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Exact Separation of Purely Short-Period Effects and Mean Variations in the Main Problem of Artificial Satellite Theory
Published 2025-02-01“…To our knowledge this transformation is new and was long-awaited by software developers in order to improve operational orbit propagation tools based on semianalytical integration. It is also shown that this kind of noncanonical solution confines the long-period oscillations of the semimajor axis in the mean variation equations.…”
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