Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
forecasting
Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis | BMC Public Health
The dataset classified about heart disease-related fatalities in India into distinct age brackets: 0–5, 6–15, 16–49, 50–69, and 70 + . The...
Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels
Streamflow deficit characteristic based on threshold level methodFig. 1Sensitivity in Mean Drought Duration, Deficit Volume, and Intensity with Threshold levels...
Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques | Parasites & Vectors
Entomological and meteorological dataData on Aedes mosquito egg counts from 2013 to 2023 in the Basque Country were obtained using...
A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
This study aimed to explore prediction models for the incidence of TB/HIV coinfection, estimating the epidemic trend of cases from...
