Category: 7. Maths

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  • Exploring the use of large language models for classification, clinical interpretation, and treatment recommendation in breast tumor patient records

    Exploring the use of large language models for classification, clinical interpretation, and treatment recommendation in breast tumor patient records

    Baseline characteristics

    A total of 45 patients with breast tumors were included in the study, with a predominance of female patients (43/45, 95.6%) and only 2 male patients (4.4%). The mean age was 46.0 ± 12.2 years, ranging from 16 to 79…

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  • Convolutional neural network and wavelet composite against geometric attacks a watermarking approach

    Convolutional neural network and wavelet composite against geometric attacks a watermarking approach

    With the progression in information sharing, multimedia content has gained significant interest among researchers. The rapid growth of multimedia transmission, both online and offline, creates a unique demand for security and privacy. Digital…

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  • Numerical simulation of velocity gradient scattering waves in visco-acoustic smooth media based on F-K domain integration method

    Numerical simulation of velocity gradient scattering waves in visco-acoustic smooth media based on F-K domain integration method

    Visco-acoustic F-K domain integral method

    According to the dispersion relationship equation21, complex velocity can be expressed as:\(\omega\)

    $$\frac{1}{{v({\varvec{r}};\omega )}}=\frac{1}{{{v_a}({\varvec{r}})}}\left( {1 -…

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  • Rule-adaptive lane-changing trajectory planning method for autonomous vehicles driven by dynamic risk information

    Rule-adaptive lane-changing trajectory planning method for autonomous vehicles driven by dynamic risk information

    Research by the World Health Organization (WHO) reveals that road traffic accidents kill approximately 1.3 million people globally each year and result in $277 billion in economic losses1. Data from the U.S. National…

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  • A novel method for optic disc localization using fast circlet transform and Chan-Vese segmentation

    A novel method for optic disc localization using fast circlet transform and Chan-Vese segmentation

    The proposed method is designed to integrate frequency-domain coefficients from the FCT with spatial-domain vessel entropy features, allowing the structural and anatomical characteristics of the OD to be captured. The methodology is divided into…

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