Our study found that the accuracy of LLM responses to AF-related inquiries was suboptimal, and the models often produced inconsistent answers to identical queries. This contrasts with the more favorable performance of GPT-3.5 reported by Lee et…
Category: 7. Maths
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Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm
Sangodoyin, A. O., Akinsolu, M. O., Pillai, P. & Grout, V. Detection and classification of DDoS flooding attacks on software-defined networks: A case study for the application of machine learning. IEEE Access 9, 122495–122508 (2021).
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Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services
This manuscript emphasizes the design and progress of the DCFNN-SOCVDC technique for PH services. The main goal of the DCFNN-SOCVDC method is to detect and classify CVD in the healthcare environment. It contains four processes: data…
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Semi-supervised action recognition using logit aligned consistency and adaptive negative learning
We will begin by introducing the fundamental principles of SSL in section A. Following that, we outline the training framework utilized in section B. In section C, we introduce a novel method for performing logit normalization on the…
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Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Overview of methods
We provide an overview of LOO-map and demonstrate the proposed two diagnostic scores (Fig. 1).
Fig. 1: Overview: assessment of embeddings generated by neighbor embedding methods, illustrated with image data. a We use a standard…
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A global object-oriented dynamic network for low-altitude remote sensing object detection
To balance computational overhead and model performance, thereby achieving improved overall performance and higher detection accuracy in low-altitude remote sensing image processing tasks, this paper introduces the GOOD-Net algorithm. The…
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A new Liu-type estimator in a mixed Poisson regression model
Poisson-modification of the quasi-Lindley regression model
Tharshan and Wijekoon26 introduced the PMQL distribution by assuming that the parameter of the Poisson distribution follows a modified quasi-Lindley distribution. The probability mass…
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An improve fraud detection framework via dynamic representations and adaptive frequency response filter
Model overview
In this section, we will present our proposed method DPGFD, as shown in Fig. 4. DPGFD consists of four main modules, (1) a latent synergy network extractor for LSN construction; (2) a multi-LSTM based encoder for dynamic calling…
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Researchers help college students understand why mathematics classes matter
A WVU expert on STEM education is involving colleges and universities nationwide in an interdisciplinary, collaborative approach to teaching mathematics in a way that reflects… Continue Reading
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Multimodal fusion transformer network for multispectral pedestrian detection in low-light condition
Architecture
As shown in Fig. 2, our proposed network model redesigns the YOLOv11 feature extraction network as a two-stream backbone architecture and embeds MFT and DMFF modules to facilitate cross-modal feature fusion. The network consists of…
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