The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
Abstract: The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker.
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Introduction: In the temperate grasslands of the UK, forage quality is a key factor influencing both animal performance and environmental impact. Because forage quality strongly affects rumen ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...
Abstract: Accurate sales forecasting is crucial for retail giants like Walmart to optimize inventory management, plan operations, and enhance customer satisfaction. This study aims to develop a robust ...
Department of Orthopedics, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China Background and aim: ...
This project investigates economic growth factors, specifically GDP, by applying ordinary least squares (OLS) and a more robust, proposed estimator. It includes data preparation, feature engineering ...
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