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…
Category: 7. Maths
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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
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
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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Laurent Demanet appointed co-director of MIT Center for Computational Science and Engineering | MIT News
Laurent Demanet, MIT professor of applied mathematics, has been appointed co-director of the MIT Center for Computational Science and Engineering (CCSE), effective Sept. 1.
Demanet, who holds a joint appointment in the…
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A SCG-YOLOv8n potato counting framework with efficient mobile deployment
Hu, T. et al. Research on apple object detection and localization method based on improved YOLOX and RGB-D images. Agronomy-Basel 13, 1816 (2023).
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Hassan, M. M., Zareef, M., Xu,…
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Anston attentional network for structured data based stroke risk prediction in smart aging
In this section, we mainly describe the evaluation indicators, prediction results, feature contribution analysis methods, and model optimization used when conducting Anston model experiments. During the implementation of the Anston model, the…
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Assessment of patient satisfaction with the hemodialysis experience using an integrated decision-making approach with rough numbers
In this section, in order to handle the ambiguity and fuzziness in patient satisfaction assessment with linguistic assessment information, an R-BWM-GLDS method is proposed. The proposed method consists of two phases. In the first phase, a group…
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Population-based variance-reduced evolution over stochastic landscapes
We present the PVRE method for handling problem (1) in black-box settings. PVRE combines Gaussian smoothing and STORM to reduce the sampling noise in both the data space and the solution space. It also uses a normalized descent rule to achieve…
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Machine learning approaches overcome imbalanced clinical data for intraoral free flap monitoring
Artificial intelligence has revolutionized medical imaging, particularly in diagnosis and segmentation. Numerous studies have employed artificial neural networks to identify diseases and predict prognosis in various fields, including neurosurgery…
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