This study systematically encoded and quantitatively analyzed key categorical variables, including occupation, sex, age, educational level, and region. We conduct a correlation analysis, and the coefficients reported are Pearson correlation…
Category: 7. Maths
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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector
In this section, the concept of \(\mathbb {BFH}^{\textbf{IV}}_{\textbf{ST}}\) is introduced and its relationship with other topological spaces are explored.
Definition 11
Let \(\mathbb {O}\) be a universal set,
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Design of circularly polarized phosphorescence materials guided by transfer learning
LLMs for precursor selection and CPP performance regulation
In the preparation of CPP materials with high glum values, high quantum efficiency and long lifetime, phosphorescent molecule selection plays a crucial role in governing the preparation…
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Multimodal fusion transformer network for multispectral pedestrian detection in low-light condition
Architecture
As shown in Fig. 2, our proposed network model redesigns the YOLOv11 feature extraction network as a two-stream backbone architecture and embeds MFT and DMFF modules to facilitate cross-modal feature fusion. The network consists of…
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Explicit intent enhanced contrastive learning with denoising networks for sequential recommendation
Problem statement
This section elaborates on the proposed model named EICD-Rec, detailing its architecture, and mechanisms. Table 1. summarizes the key symbols and their respective descriptions.
Table 1 Key notations and descriptions. Assuming the…
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Grid resource data differentiation standard based on CIM model
Example analysis
The non-inferior solution set of the double objective function (F5, F6) is solved by the proposed algorithm. The Pareto front curve is solved by the proposed algorithm. Because of the large amount of different data in the whole…
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Predicting artificial neural network representations to learn recognition model for music identification from brain recordings
This study utilizes the NMED-T dataset, comprising EEG data collected from 20 subjects as they listened to 10 unique songs32. We approach the task as a 10-class classification problem. The input data consists of EEG signals, while the output is…
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation
In this section we detail the training, validation, and testing workflow, the proposed method for generating GRFs using patient metadata, and corresponding metrics used to assess our multimodal chronic wound segmentation experiments.
Patient…
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Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing
Kumari, P. & Kaur, P. A survey of fault tolerance in cloud computing. J. King Saud University-Computer Inform. Sci. 33 (10), 1159–1176 (2021).
Google Scholar
Jin, X., Hua, W., Wang, Z. & Chen,…
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Action recognition using part and attention enhanced feature fusion
Fig. 1 Illustration of the parted human skeleton graphs on the NTU RGB+D dataset (a) and Kinetics-skeleton dataset (b). The black cross symbol represents the center-of-gravity of each part.
Skeleton-based data typically comprises a series of…
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