As cities increasingly rely on AI for sustainability challenges, a critical gap emerges: AI applications in urban planning and safety predominantly proceed without explicit guidance from established ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Each Python version enhances execution speed, memory management, and runtime efficiency. For example, Python 3.12 introduced measurable speed gains (up to 5–10% faster for certain workloads) compared ...

Quantifying natural behavior from video recordings is a key component in ethological studies. Markerless pose estimation methods have provided an important step toward that goal by automatically ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

As a beginner in business management, one of the most crucial skills is gathering and analyzing data to make informed decisions. Business analytics utilizes data and statistical methods to extract ...

Student Performance Analysis using Python, Pandas, Matplotlib, and Seaborn. This project focuses on data cleaning, exploratory data analysis (EDA), and visualization to identify factors affecting ...

Quantifying synergistic environmental effects in water contamination is still an open issue. Here, we have analyzed geolocalized data of pollutants recorded in 2018 in surface and groundwater of ...