This section provides a detailed description of the experimental design, including the collection of datasets, configuration of the experimental environment, parameter settings, and the performance evaluation criteria. It also demonstrates how to…
Category: 7. Maths
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Towards a quantum synapse for quantum sensing
Sakurai, J. J. & Napolitano, J. Modern Quantum Mechanics 3rd edn (Cambridge University Press, UK,, 2020).
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Mermin, N. D. N.D. Quantum Computer Science: an Introduction…
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Addressing cross-population domain shift in chest X-ray classification through supervised adversarial domain adaptation
Bajwa, J., Munir, U., Nori, A. & Williams, B. Artificial intelligence in healthcare: Transforming the practice of medicine. Future Healthc J 8, e188–e194. https://doi.org/10.7861/fhj.2021-0095 (2021).
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Efficient fault diagnosis in rolling bearings lightweight hybrid model
In this section, experiments on bearing fault diagnosis using the CWRU dataset are conducted, and the diagnostic results are evaluated using precision, recall, and F1 score to analyze the misdiagnosis and missed diagnosis cases of the…
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A mathematical framework of HIV and TB co-infection dynamics
This section introduces the core definitions of the Caputo fractional derivative and outlines the transition from integer-order to fractional-order model formulation.
Definition 1
(37) The fractional derivative, as per Caputo’s definition, is of…
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Difficulty aware programming knowledge tracing via large language models
In the experimental section, we first provide a detailed overview of the dataset used, including its source, structure, and statistical information. We describe the data preprocessing, feature extraction, and other processes to ensure that the…
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A hybrid model based on transformer and Mamba for enhanced sequence modeling
Fig. 2 Illustrations of TransMamba.
Prelimineries
The TransMamba framework is designed to synthesize the strengths of Transformer and Mamba models by integrating features derived from both, enhancing the model’s generalization and versatility….
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Adaptive feature interaction enhancement network for text classification
Fig. 1 Structure of the adaptive feature interaction enhancement network (AFIENet). We used different colors to distinguish the features obtained by the two networks, i.e., GE-Net and LA-Net, to clearly illustrate the data flow of AFIENet.
In this…
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Efficient face information encryption and verification scheme based on full homomorphic encryption
Setup
In this chapter, we describe the practicability and effectiveness of face recognition using the fully homomorphic encryption algorithm, and on this basis, we reduce the dimension of the data to improve the calculation efficiency of the…
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Thermal behavior and conversion of agriculture biomass residues by torrefaction and pyrolysis
Thermal analysis
The mass loss during thermal degradation of biomass usually occurs in several steps18, which overlap depending on sample composition – Fig. 1. Moisture is removed by evaporation below 100–110 °C. This is followed by the…
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