Résultats de recherche
26 juin 2024 · In this paper, we introduce a novel Sparse Independent Component Analysis (Sparse ICA) method that can be used for both subject and group-level fMRI data analysis. The method achieves precise sparsity by employing the Laplace density and ensures computational efficiency through the relax-and-split framework (Zheng and Aravkin, 2020).
28 juin 2024 · While Federated Learning (FL) provides a privacy-preserving approach to analyze sensitive data without centralizing training data, the field lacks an detailed comparison of emerging open-source FL frameworks. Furthermore, there is currently no standardized, weighted evaluation scheme for a fair comparison of FL frameworks that would support the selection of a suitable FL framework. This study ...
Il y a 18 heures · Moreover, we utilize our ufg depth for a comparison of machine learning algorithms based on multidimensional performance measures. Concretely, we provide two examples of classifier comparisons on samples of standard benchmark data sets. Our results demonstrate promisingly the wide variety of different analysis approaches based on ufg methods.
11 juin 2024 · Comparison of The Top Large Language Models. For the comparison, we’ll use LLSYS ranking and some common LLM benchmarks reported by companies. LLSYS ranking is dynamic, and the numbers change daily. Because of that, we’ll use “top 5,” “top 10,” and “top 15” categories as a measurement.
17 juin 2024 · To this end, this review proposed to uncover which performance models were used, which prediction algorithms were adopted, how the features and targets were set up in the prediction, and what were types of problems modeled (Table 1 and Figure 1).
14 juin 2024 · Since the application of FRP varies in RC structural members due to the need to increase the load-carrying capacity, this study aims to provide a comprehensive investigation to present machine learning (ML) algorithms and their ability to estimate the mechanical properties of FRP.
28 juin 2024 · A hybrid Photovoltaic/Thermal (PV/T) approach is proposed in this study based on extensive research and a comparative analysis of several hyperparameter tuning methods.
