Key stakeholders and roles in the Norwegian vaccine distribution network
The interviews with key stakeholders revealed that, after the H1N1 pandemic 2009, new policy guidelines were developed for new (influenza) pandemics/epidemics at the national…
Category: 7. Maths
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Multi-channel volume density neural radiance field for hyperspectral imaging
Experimental design
The performance of our method and the original NeRF method on hyperspectral datasets was compared under various conditions. The images were captured in advance35. The basic configuration of our method inherits from NeRF, the…
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Discrete wavelet integrated convolutional residual network for bearing fault diagnosis under noise and variable operating conditions
To illustrate the anti-noise capabilities of the proposed DWCResNet in varying circumstances, a bearing fault diagnosis validation is conducted utilising the Case Western Reserve University (CWRU) bearing data and the Paderborn University (PU)…
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Micro hole drilling and multi criteria optimization of soda lime glass via ultrasonic assisted rotary electrochemical discharge drilling
Signal to noise ratio analysis
S/N analysis entails evaluating the individual parametric combinations of input variables for all measured responses, as shown in Table 4. S/N ratios for responses with a “higher-the-better” target, such as MRR are…
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Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach
Rovero, F., Kays, R. Camera trapping for conservation. In Conservation Technology, chap. 10 (eds. Wich, S. & Piel, A. K.) 79–101 (Oxford University Press, 2021).
Boitani, L. Camera Trapping for Wildlife Research (Pelagic Publishing Ltd.,…
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Accurate multi-category student performance forecasting at early stages of online education using neural networks
In this section, we present the VLE dataset details, its pre-processing, and building and training of the neural network model. Figure 2 depicts the block diagram of our experimental workflow.
Dataset
For training ML models, we employed an OULA…
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An object detection model AAPW-YOLO for UAV remote sensing images based on adaptive convolution and reconstructed feature fusion
Experimental settings
Configuration
The operating system is Windows 10 Professional. The model is based on the PyTorch framework and uses GPU for training. The GPU used in the experiments is the NVIDIA Tesla T4, with CUDA version 11.1, PyTorch…
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Mitigating class imbalance in churn prediction with ensemble methods and SMOTE
Financial companies are increasingly utilizing data insights and advanced analytics techniques to predict churn and retain valuable customers. Exploratory data analysis (EDA) is used to analyze collected data, identifying outliers and potential…
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios
In this section, we present experimental validation and discussion of the proposed IGA-DDPG algorithm. Consider a mining edge computing scenario with a mining working face area of 600\(\times\)600 square meters. In this area, an MEC server and a…
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R-AFPN: a residual asymptotic feature pyramid network for UAV aerial photography of small targets
In this paper, we propose a residual asymptotic feature pyramid network structure based on same-scale connectivity, named R-AFPN, and its general architecture is shown in Fig. 1. The network takes CSP-Darknet53 as the backbone network and…
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