Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...
The bregr package provides a streamlined, modular workflow for batch regression modeling. The process begins with installation and initialization, followed by core modeling steps such as setting ...
Abstract: We introduce continuous indexed points for improved multivariate volume visualization. Indexed points represent linear structures in parallel coordinates and can be used to encode local ...
A one-slide representation is the best way to win over employees and investors. by João Cotter Salvado and Freek Vermeulen On December 1, 2014, Cypress Semiconductor announced that it was acquiring ...
Your most powerful performance tool isn't your laptop, team, or strategy. It’s your imagination. Most business professionals dismiss visualization as wishful thinking. But research shows this powerful ...
LSTM Multivariate Stock Price Prediction A deep learning project using LSTM for multivariate time series analysis to predict Google stock prices. Trained on five years of historical data, the model ...
Objectives: To investigate the causal relationship between type 2 diabetes mellitus (T2DM, exposure) and isolated REM sleep behavior disorder (iRBD, outcome). Methods: Genome-wide association study ...
Objectives: This study aimed to identify the risk factors for pancreatic cancer through machine learning. Methods: We investigated the relationships between different risk factors and pancreatic ...
In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...
2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks Uncertainty visualization is an emerging research topic in data visualization because ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback