Category: 7. Maths

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  • Detection and classification of brain tumor using a hybrid learning model in CT scan images

    Detection and classification of brain tumor using a hybrid learning model in CT scan images

    In this section, we explain our proposed framework. The proposed framework has different stages, including image acquisition, pre-processing, feature extraction, feature selection, and classification. The proposed methodology starts with the…

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  • GPT-4 shows comparable performance to human examiners in ranking open-text answers

    GPT-4 shows comparable performance to human examiners in ranking open-text answers

    IRR in ranking and point assessments

    We test Hypothesis 1 – whether IRR drops when replacing a human examiner with GPT-4 – separately for our two tasks as different statistics are to be applied. For the ranking task, we use Quadratic Weighted…

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  • Generating reliable software project task flows using large language models through prompt engineering and robust evaluation

    Generating reliable software project task flows using large language models through prompt engineering and robust evaluation

    We evaluate the ability of large language models to convert unstructured project descriptions into structured task flows through a tightly controlled, multi-stage pipeline combining human annotation, prompting, normalization, semantic…

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  • An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare

    An evolutionary computation-based sensitive pattern hiding model under a multi-threshold constraint in healthcare

    This section presents a detailed discussion of the proposed sensitivity and length-based dynamic multi-threshold victim deletion-based scheme for data sanitization. The proposed scheme consists of two phases that are near-optimal victim item…

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  • Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors

    Dynamic surface control algorithm of flexible manipulator driven by position and velocity disturbance factors

    Based on the dynamic surface control algorithm driven by position and velocity disturbance factors, an adaptive control system driven by position and velocity disturbance factors is designed, and the system includes a K observer and a controller.

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