To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Here's the complete project structure: decision-trees-random-forest_from_scratch_probabilistic-classifier/ │ ├── data/ │ ├── raw/ │ └── processed/ │ ├── src/ │ ├── utils/ │ │ ├── data_split.py │ │ ├── ...

Accurately quantifying forest volume and identifying its driving mechanisms are critical for achieving carbon neutrality objectives. Using data from the National Forest Inventory (NFI), plot-level ...

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.

ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...

Abstract: This project focuses on developing an efficient, and user-friendly diabetes mellitus checkup application powered by machine learning. The application is designed to offer a simple and ...

1 Institute of Molecular Engineering and Applied Chemistry, Anhui University of Technology, Ma’anshan, China. 2 Department of Civil Engineering, Tongling University, Tongling, China. This research ...