Motivation and problem definition
Accurately forecasting the life of electronic components is a cornerstone for guaranteeing the long-term reliability and optimal performance of electronic systems. In the past, traditional methods such as linear…

Accurately forecasting the life of electronic components is a cornerstone for guaranteeing the long-term reliability and optimal performance of electronic systems. In the past, traditional methods such as linear…

We perform a comprehensive evaluation of ESA on 70 different tasks, including domains such as molecular property prediction, vision graphs, and social networks, as well as different aspects of representation learning on graphs, ranging from…
Results from the initial search query are listed in Supplementary Table 1. search results. Initially, 191 articles were selected from PubMed and imported to Covidence for further identification and screening. After removing duplicates…

Vikram, A. et al. Deep learning based vehicle detection and counting system for intelligent transportation. International journal of computer systems science & engineering 48, 115–130 (2024).
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This study aims to enhance the performance of hate speech detection by utilizing an ensemble of BERT-based models with both Korean and English datasets. As shown in Fig. 1, the text from the datasets is first tokenized using a tokenizer, after…

Characteristics of patients in the asthma model dataset (n = 53,099) are summarized in Table 1 (Characteristics of Eligible Patients). Most asthma model patients identified as Hispanic/Latinx (43.3%) or Black…

Wu, D. et al. Design and preparation of porous polymers. Chem. Rev. 112(7), 3959–4015 (2012).
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Bennett, T. D., Coudert, F. X., James, S. L. & Cooper, A. I….

This section outlines the incorporation of sensors, data handling, and machine learning methods employed in the EPIC framework for monitoring posture in real time. It includes the hardware setup, feature selection using EPOA and DMN…

This section introduces the basic concepts of situational fuzzy sets to support subsequent research efforts.
Let \(X\) be a domain of discourse,…

To better understand the metadata collection and handling processes, we consider a generic knowledge production workflow divided into three sub-workflows (Fig. 1): an abstract simulation experiment containing…