Results 61 to 70 of about 63,498 (165)
A Side Lobe Level Reduction Method Using Simulated Annealing Algorithm in a Uniform Arc Array
In general, the amplitude-weighting method for an acoustic transducer array is widely used to improve the array directivity and reject disturbances. This paper presents a method to effectively reduce the side lobe level while minimizing the main lobe ...
Song-Il KANG +4 more
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This study constructs an evaluation index system and model by integrating objective evaluation methods such as the entropy weight method and TOPSIS with subjective evaluation methods like Delphi and AHP. By analyzed the scatter plots of the comprehensive
Ru Zhou +5 more
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Improving plant-available water estimation using model averaging of national soil water models
IntroductionMultiple operational soil water balance (SWB) models provide real-time estimates of soil moisture across Australia, yet differences in model structure and outputs introduce uncertainty for end users. Model averaging offers a potential pathway
Brendan P. Malone +6 more
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CT images provide information about bony structures but cannot support tissue information, whereas MRI images show details about soft tissues. Obtaining the maximum information and key features from the source images, increasing the visual quality and ...
Khalil Mowlani +2 more
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In this paper, topology optimization of the rotor flux-barrier of an interior permanent magnet synchronous motor using a normalized Gaussian network is proposed to improve traction in a hybrid electric vehicle.
Ha-Jin Kim, Dong-Kuk Lim
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Improved Deadbeat Algorithm‐Based Sequential Model Predictive Control Strategy for QZSI‐PMSM System
The conventional model predictive control (MPC) for the quasi‐Z‐source inverter–permanent magnet synchronous motor (QZSI‐PMSM) system suffers from conflicts between the modulation coefficients of both sides and many weighting coefficients in the cost ...
Zhun Cheng +5 more
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The article describes the problems of developing neurocontrollers for controlling dynamic objects, including the complexity of forming training data sets. It is indicated that one of the known methods for training an artificial neural network controlling
D. O. Petrov
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Rethinking Attention Weights as Bidirectional Coefficients
Attention mechanism has become an almost ubiquitous model architecture in deep learning. One of its distinctive features is to compute non-negative probabilistic distribution to re-weight input representations. This work reconsiders attention weights as bidirectional coefficients instead of probabilistic measures for potential benefits in ...
Yuxiang Huang +2 more
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Abscissas and weight coefficients for Lobatto quadrature [PDF]
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A robust coefficient of determination based on implicit weighting
In the linear regression model, the standard coefficient of determination $R^2$ and its weighted counterpart are commonly used to assess the quality of the linear fit. However, both metrics are susceptible to the influence of outliers and heteroskedasticity within the dataset. This paper introduces a robust version of $R^2$, based on the least weighted
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