For his Engineering Doctorate (EngD) program, ITC researcher Rodrigoandrés Morales developed a so-called digital twin: a digital model that analyzes and predicts the groundwater level in Enschede.

A good book can transport you to another time and place. And whether the plot is set in the past, present, or future, authors have been able to create their own worlds, filled with creativity and ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

The Dow Jones Industrial Average earlier this month closed above 50000 for the first time, prompting one very enthusiastic ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Abstract: The goal of this paper is to establish an analysis and prediction model of bioengineering experimental data combining big data and deep learning (DL), so as to improve the analysis ...

As sports betting continues to skyrocket, prediction markets are winning the attention of younger, inexperienced betters.

Dự án này xây dựng các models Machine Learning để dự đoán chỉ số chất lượng không khí (AQI) dựa trên dữ liệu lịch sử về các chất ô nhiễm như CO, NO, NO2, O3, SO2, PM2.5, PM10, NH3. aqi-prediction/ ├── ...

The Beneish model was designed by M. Daniel Beneish to quantify eight variables that can indicate that a company is misrepresenting its profits. Here’s how it works.

Abstract: Crop yield prediction is an important for global food security, particularly in a climate of growing populations, resource constraints, and a changing climate. Traditional methods of crop ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...