In this section, the trajectory node coordinates will be expressed by boundary coordinates and variables a in “Notation of raceline points”; then the quadratic expression for distance factor and curvature factor of the trajectory will be…
Category: 7. Maths
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MobileDANet integrating transfer learning and dynamic attention for classifying multi target histopathology images with explainable AI
This section provides a detailed discussion of the proposed MobileDANet framework for multi-target histopathology image classification. Initially, the section presents the input datasets and their pre-processing, followed by an outline of the…
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MOTT modular optical tool tracking framework enabling efficient benchmarking
In this section, we outline the approach and processes used for the development and implementation of the proposed framework. In section “Requirements for framework design” we first identify the requirements necessary for the framework…
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SMFR-Net: simple multi-domain flare removal network
In this section, we provide a detailed introduction to the SMFR-Net we proposed. First, we present its overall encoder-decoder architecture. Then, we delve into the core building block of the network: the Simple Multi-domain Encoder Block…
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An enhanced neural network model for predicting the remaining useful life of proton exchange membrane fuel cells
In the experimental protocol, data from FC1 and FC2 are used as the training and test sets, respectively, and the first 550 h of FC2 are reserved for model validation. RUL is defined as the time required for the stack voltage loss to reach a…
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Cervical cancer prediction using deformable kernel darknet-53 and depth wise separable convolutional neural networks
The block diagram of the suggested DK-D53-DWSCNNet architecture for CC prediction is shown in Fig. 1. The Herlev and SEER databases provide the system with its initial input. To improve visual clarity, images are pre-processed using DKNet-JIF….
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Productive engagement patterns and their association with life satisfaction among elderly sandwich generation
Silverstein, M., Gans, D. & Yang, F. M. Intergenerational support to aging parents: The role of norms and needs. J. Fam. Issues 27(8), 1068–1084 (2006).
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Hu, B. & Ma, S. Receipt…
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An efficient coverage path planning method for UAV in complex concave regions
In this section, we examined how to decompose polygons based on concave points. This process tackles two main issues: (1) identifying which points are concave in the polygon, and (2) traversing the decomposed polygons to ensure full area…
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Watson transform in quantum scattering
It should be stressed that in actual quantum interactions we have \(k_0a\gg 1\); as a result, the number of required canonical terms N to evaluate both the series in (1) is much larger than these indicated in Figs. 1b,c. Therefore, the direct…
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Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection
In this section, the method of collecting the necessary data for the research and the characteristics of this data are described. Then, the steps of the proposed method for predicting the academic performance of students in higher education are…
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