Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Urbanization and industrialization have led to a rapid increase in atmospheric air pollution, highlighting the urgent need for intelligent systems to monitor and predict pollution levels.

Abstract: This study explores the dynamics of a gated memory car-following system, with a focus on the challenges encountered when training models using fine-grained spatiotemporal data. To address ...

SpidR is a self-supervised speech representation model that efficiently learns strong representations for spoken language modeling. It is trained on unlabelled speech using a masked prediction ...

credit-risk-modeling/ │ ├── README.md ├── Makefile ├── requirements.txt ├── .gitignore │ ├── config/ │ └── config.yaml # Environment-aware configuration (dev/staging/prod) │ ├── data/ │ └── credit ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...