This section starts with a conceptual overview of the proposed method, provided in Fig. 2. We then explain each module in detail and its end-to-end training pipeline.
Problem formulation
We denote vectors and matrices in bold lower-case x and bold…
Category: 7. Maths
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Investigation of soliton solutions to the (2 + 1)-dimensional stochastic chiral nonlinear Schrödinger equation with bifurcation, sensitivity and chaotic analysis
Generalized Kudryashov Method-1
We have particular form of solution:
$$\begin{aligned} \Omega (\rho )= \frac{{\sum \nolimits _{j = 0}^S {{\alpha _j}{\phi ^j}(\rho )} }}{{\sum \nolimits _{i = 0}^T {{\beta _i}{\phi ^i}(\rho )} }}.\…
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Incentive mechanism of foundation model enabled cross-silo federated learning
In this section, we propose an incentive mechanism algorithm for the training process. The incentive mechanism includes three parts: the participant screening mechanism, the contribution valuation mechanism, and the two-stage Stackelberg game…
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Research on visual design of urban multimedia portal
Ethics
The study protocol was approved by the research ethics board at Sanming Integrated Medicine Hospital (approval No. 2023-KY-010), and written informed consent was obtained from all participants before the study commenced. The study was…
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Physics needs research software engineers
Calls to recognize research software engineers are not new — but such professionals are needed now more than ever.
When Richard Feynman and postdocs Stanley Frankel and Eldred Nelson received…
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Novel 59-layer dense inception network for robust deepfake identification
Due to the high quality of the manipulated movies and the accessibility of the corresponding software, deepfakes have gained in popularity and to distinguish between real and fraudulent videos, classifiers are typically applied in deepfake…
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Campus risk detection using the S-YOLOv10-SIC network and a self-calibrated illumination algorithm
Image acquisition and dataset production
To accurately replicate the campus risk detection environment, the data sets uti-lized in this study were obtained through field simulation shooting at Wuhan East Lake University. This approach ensures a…
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Smart adaptive learning and optimized feature clustering for enhanced image retrieval
This research develops the SEGJO-based clustering and EDCNN-based classification for an effective CBIR. The developed approach has two phases: training phase and testing phase. The training phase includes various processes such as dataset…
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Computational self-corrected quantitative 3D topographic imaging
Problem statement
The measurement process of an optical profilometer typically includes an axial scan to localise the height of the sample at each image pixel. To perform such a scan, an ideal scanner would execute the commanded movement without…
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Low resolution remote sensing object detection with fine grained enhancement and swin transformer
Proposed method
The proposed object detection framework for high-resolution remote sensing imagery is schematically illustrated in Fig. 1. The model comprises three main components: the Fine-grained Enhanced Downsampling Network (FEDNet), the…
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