The literature review part has three aspects: preliminary knowledge, related work, and research hypotheses. First, we will introduce some specific theories that can support our study. Second, we will introduce previous research relevant to our…
Category: 7. Maths
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Improvement of English-Chinese bilingual learning by integrating semantic analysis and neural machine translation
Datasets collection
The dataset used in this experiment is UM-Corpus, a large English-Chinese parallel corpus developed by the NLP & Chinese Computing Laboratory (NLP2CT) at the University of Macau. Designed for research in statistical and NMT,…
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A blockchain-based verifiable CP-ABE scheme for medical data privacy protection
The blockchain-based verifiable CP-ABE medical data privacy protection scheme can be divided into five phases: system construction, data encryption, data access and verification, data decryption, and dynamic change management of privileges….
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Order fulfillment planning with crowdsourcing integration
In this section, we propose an Adaptive Large Neighborhood Search (ALNS) framework to solve the 2E-MDCSDOFP. We decompose the 2E-MDCSDOFP into two subproblems according to the two-stage delivery network described above. The first subproblem is to…
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Modeling monkeypox transmission with a compartmental framework to evaluate testing, isolation and public awareness strategies
Mpox free equilibrium (MFE) of the model (3) can be represented by \(D_0\), which is given by
$$\begin{aligned} D_0=(S^0_h, 0,0,0,0, S^0_a,0,0)=\Big (\frac{\Lambda _h}{\mu _h},0,0,0,0,\frac{\Lambda _a}{\mu _a},0,0\Big ) \end{aligned}.$$
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Adaptive multimodal transformer based on exchanging for multimodal sentiment analysis
Datasets
This study selected three representative multimodal sentiment analysis benchmark datasets for experimental verification: MOSI30, MOSEI31, and SIMS32.
MOSI dataset contains movie review video clips posted by 89 speakers on the YouTube…
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Modelling cross-diffusion in MHD Williamson nanofluid flow over a nonlinear stretching surface via Morlet wavelet neural networks
A solutions for the PDEs/ODEs by means of outdated exact or numerical tactics have restricted applicability as they frequently unable to solve complicated problems. Machine learning procedures highlight these restrictions and give perfect…
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Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica
This research builds upon and extends the workflow for mapping vegetation in Antarctica, initially proposed by Sandino et al.28, by incorporating UAV-acquired HSI data. The dataset is further enhanced with GNSS RTK ground control points (GCPs)…
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Uncovering nonequilibrium dynamics in machining via mechanism-assisted machine learning
In this section, we provide the proposal for machining process dynamics rooted in energy variation. Some key techniques are described, such as microstate decomposition and importance weighting. Besides, the overall framework and model structure…
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A novel dual-student reverse knowledge distillation method for magnetic tile defect detection
The method proposed in this article is a dual student knowledge distillation framework based on reverse distillation called BSDRD, which is different from the paired distillation method54, which uniformly processes all features. Our method is…
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