True dataset
Five networks were trained on the original dataset to classify the training data into four categories: TP, TN, FP, and FN. To assess classification consistency across the five models, we analyzed the number of images that received…
Category: 7. Maths
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Using GNN property predictors as molecule generators
Zunger, A. Inverse design in search of materials with target functionalities. Nat. Rev. Chem. 2, 1–16 (2018).
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Stach, E. et al. Autonomous experimentation systems for…
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Radiation detector based on coupling between defect mode and topological edge state mode in photonic crystal
The dispersion relation (RIs) of PNC, \({PSi}_{1}\), and \({PSi}_{2}\) at different γDs according to the experimental42 and fitted data in Eqs. (2)–(8)33 are cleared in supplementary material (S1). As clear in S1, by irradiating the PNC…
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm
In this study, a novel ODMVII-MOA technique is introduced. The proposed ODMVII-MOA technique aims at improving the OD method in real-time with advanced techniques to detect and recognize objects for disabled people. It holds image preprocessing,…
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management
In present, there lies a need for accurate estimation of SOC primarily to enhance the energy management in HEVs. DL based a proposed SOC estimation model called as the Renewable energy management SOC estimation model based on a hybrid technique
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The analysis of international communication value assessment of Chinese mythology themed animated films in belt and road under BPNN algorithm
Datasets collection
The research data are obtained using web scraping techniques to gather relevant information on Chinese mythology-themed animated films. By developing a web crawler program tailored for film-related websites, this work acquires…
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Multitask semantic change detection guided by spatiotemporal semantic interaction
In this section, we provide a detailed introduction to the proposed SCD network for dual-temporal remote sensing images (i.e., STGNet), with the overall structure shown in Fig. 2.
Fig. 2 Overall architecture of STGNet. SDPNet represents a…
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A lightweight Deeplab V3+ network integrating deep transitive transfer learning and attention mechanism for burned area identification
Target domain dataset The data used in this article is divided into two parts. The first part is the target domain data set, which is used to train the improved Deeplab V3 + network. The types of features in the image are divided into two…
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Influence of nonlocal on a rotating thermoelastic medium with diffusion and double porosity
This section focuses on numerical computation, presenting simulations for nonlocal thermoelastic half-space with double porosity, considering rotation effects. MATLAB software is utilized to obtain numerical results, examining key fields such as…
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High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis
Dataset description
Ethics review board approval was not required as this study utilized publicly available, open-source data. Our study utilized the RSPECT dataset, which originally comprised 9,446 CTPA exams (Table 4) and was sourced from the…
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