This section contains details regarding the procedures employed in acquiring and processing the physiological and ambient environment data collected within our extreme environments chamber. The experiment design, sensor based data acquisition and…
Category: 7. Maths
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Digital forensics and incident response management model for IoT based agriculture
We propose a DFIRMM for Ag-IoT as an extended version of our previous study27, and its architecture is represented in Fig. 1. This model guides incident response and forensic investigation teams in making decisions to identify evidence,…
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Eco positioning drives sustainable fashion consumption through process related strategies and brand familiarity
Dataset collection and experimental environment
This study employs an online experiment to investigate the impact of eco-positioning strategies on consumer behavior. For participant recruitment, the research team collected data through the SoJump…
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MAHE: a multiscale and hybrid expert-based model for image-text enhanced named entity recognition on social media
In this section, we first introduce the MNER task and provide an overview of our approach. We then delve into the details of each component in the model. As shown in Fig. 1, the model consists of six parts: feature extraction module, text…
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A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification
Setup
The experimental setup involved implementing the experiments in Python and consolidating the code and instructions for reproducibility in the following public GitHub repository: https://github.com/marcelovca90/auto-ml-evaluation. Key…
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Multi-focus image fusion using adaptive patch rendering anisotropic diffusion filter
Tirumala Vasu, G. & Palanisamy, P. Multi-focus image fusion using anisotropic diffusion filter. Soft Comput. 26(24), 14029–14040 (2022).
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Tirumala Vasu, G. & Palanisamy, P….
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Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
Our XAI achieves good diagnostic accuracy
In our work, we aimed to investigate the interaction between dermatologists and an explainable artificial intelligence (XAI) system by analyzing how it impacted diagnostic accuracy and visual attention…
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Deterministic reservoir computing for chaotic time series prediction
In the following, we will introduce the used metrics and datasets before we report our observations. We discuss those afterwards.
Preprocessing and metric
We preprocess our data by normalizing via the z-score as in Eq. 165 prior to using it as…
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Optimized segmentation of overlapping cervical cells based on Mask2Former and denoising
Siegel, R. L., Miller, K. D., Wagle, N. S. & Jernal, A. Cancer statistics. CA Cancer J. Clin. 73(1), 17–48 (2023).
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Sung, H. et al. Global cancer statistics 2020:…
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Dynamic analysis of a Caputo fractional-order SEIR model with a general incidence rate
Dynamic analysis of a Caputo fractional-order SEIR model with a general incidence rate
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