Flexible, power-efficient AI acceleration enables enterprises to deploy advanced workloads without disrupting existing data ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

The system includes baseline models (Linear Regression, Random Forest, XGBoost) and advanced models (Neural Networks, Ensemble methods) with comprehensive evaluation and visualization capabilities.

Abstract: Forecasting retail demand requires not only predicting future sales, but also the driving forces that underpin these forecasts. This paper suggests a multi-store demand forecasting framework ...

Abstract: Crime prediction has turn into a significant technique in the development of data driven approaches to public safety. This research work contains two major tasks such as crime prediction and ...

This forecasting model is for demonstration and learning purposes Do not use these predictions for automated business decisions without human review Always validate predictions with domain experts and ...