This repository contains the implementation of a machine learning assignment designed to model and forecast COVID-19 case trends using time-series data and polynomial regression. It focuses on data ...

Abstract: The production and survival of humans are threatened by sand and dust storms; yet, the research of sand and dust storms is always beset by the issue of partially absent data. In order to ...

Abstract: Power system planning tools require hourly weather data to capture the variable conditions that influence electricity supply and demand (e.g., temperature, wind, and solar). It is ...

AI-powered system predicting VIP network complaints by analyzing KPI timeseries, alarms, tickets, topology, events, and weather data, enabling proactive root-cause detection and service optimization ...