Category: 7. Maths

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  • Integrating deep learning and radiomics for preoperative glioma grading using multi-center MRI data

    Integrating deep learning and radiomics for preoperative glioma grading using multi-center MRI data

    Study design and patient population

    This multicenter retrospective investigation was designed and conducted in strict accordance with the Declaration of Helsinki guidelines and received explicit approval from the institutional review boards of all…

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  • Clinical application of 3D reconstruction and accurate volume measurement of white matter in patients with cognitive dysfunction

    Clinical application of 3D reconstruction and accurate volume measurement of white matter in patients with cognitive dysfunction

    With the aging of the population, the global incidence of dementia has been increasing annually, and an increasing body of evidence shows that vascular factors may be related to the progression of dementia. WMHs are considered white matter…

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  • Optimal probability function for ultimate resistance of offshore T/Y-connections enhanced with collar plates under compression, tension, and bending loads

    Optimal probability function for ultimate resistance of offshore T/Y-connections enhanced with collar plates under compression, tension, and bending loads

    This section examines the capacity ratio between T/Y-nodes enhanced with plates and their unenhanced counterparts under compressive load. The analysis is conducted using three statistical tests (Table 5).

    Table 5 Goodness of fit for the joints…

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  • Quantum cryptography and data protection for medical devices before and after they meet Q-Day

    Quantum cryptography and data protection for medical devices before and after they meet Q-Day

    Healthcare regulation must adapt rapidly to the challenges posed by QC. Existing frameworks, such as the GDPR, NIS2, or MDR, impose requirements for data protection, device security, and infrastructure resilience, but were developed under…

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  • Semantic mapping of Hindi text-to-image generation using CUB dataset

    Semantic mapping of Hindi text-to-image generation using CUB dataset

    T2I generation is the most emerging area of generative learning, enabling the model to produce images from the textual input. Various studies proposed methods for T2I generation using different approaches. This section examines the existing…

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  • Fault tolerant and quality of service aware routing algorithm based on priority technique for scalable network on chip architectures

    Fault tolerant and quality of service aware routing algorithm based on priority technique for scalable network on chip architectures

    The key aspect in developing a fault-tolerant routing algorithm is the quality-of-service parameters taken into account to attain the shortest pathways. Typically, fault-tolerant algorithms employ restricted criteria to identify a dependable…

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  • Safety optimization of grab unloaders based on machine vision and 3D coordinate system reconstruction

    Safety optimization of grab unloaders based on machine vision and 3D coordinate system reconstruction

    To ensure reliable object localization and environment perception in complex port scenarios, this study adopts LiDAR-based point cloud data rather than relying solely on RGB or thermal imaging. RGB cameras, though capable of capturing rich…

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  • Privacy preserving blockchain integrated explainable artificial intelligence with two tier optimization for cyber threat detection and mitigation in the internet of things

    Privacy preserving blockchain integrated explainable artificial intelligence with two tier optimization for cyber threat detection and mitigation in the internet of things

    This study develops a novel TTOCDM-XAIRNN methodology. The main intention of the TTOCDM-XAIRNN methodology is to improve the detection and mitigation of cyber threats in dynamic environments. To attain that, the proposed TTOCDM-XAIRNN model…

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