Registri loend: pealkiri
- Predicting context-sensitive urban green space quality to support urban green infrastructure planning (1)
- Predicting first-year computer science students drop-out with machine learning methods: A case study (1)
- Predicting frequency disturbances from wide area monitoring of ambient power system dynamics (1)
- Predicting fuel properties from infrared spectra = Kütuse omaduste hindamine infrapunaspektrilt (1)
- Predicting fuel properties using chemometrics : a review and an extension to temperature dependent physical properties by using infrared spectroscopy to predict density (1)
- Predicting preferable substrate blends for the production of biogas (1)
- Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing data (1)
- Predicting student retention by comparing histograms of bootstrapping for Charnes-Cooper transformation-linear programming discriminant analysis (1)
- Predicting student retention by linear programming discriminant analysis (1)
- Predicting student retention in TTU by using linear programming in data mining (1)
- Predicting students' behavior during an e-learning course using data mining (1)
- Predicting students final test results based on previous grades and demographics (1)
- Predicting the risk of encountering financial difficulties by the example of Estonian municipalities (2)
- Prediction and assignment of coupling constants of diastereomeric cyclopentane derivatives (1)
- A prediction model for chronic heart failure in patients with type 2 diabetes mellitus (1)
- Prediction of 1-port source data for centrifugal fans (1)
- Prediction of abrasive erosion impact wear of composite hardfacings (1)
- Prediction of anthropogenic load (human impact) in water bodies using stochastic-deterministic methods (1)
- Prediction of cell-penetrating peptides using artificial neural networks (1)
- Prediction of erosive wear of powder materials with hardmetal-type structure (1)
- Prediction of flue gas composition and comparative overall process evaluation for air and oxyfuel combustion of Estonian oil shale, using aspen plus process simulation (1)
- Prediction of high-frequency intrinsic localized modes in Ni and Nb (1)
- Prediction of optimal location for electric vehicle charging stations (1)
- Prediction of peptide IMS cross sections from extended molecular connectivity (1)
- Prediction of pour points of kukersite shale oil : influence of phenols on pour point (1)
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