Phillip Koshute
Johns Hopkins University Applied Physics Laboratory(US)University of Maryland, College Park(US)
Publications by Year
Research Areas
Mosquito-borne diseases and control, COVID-19 epidemiological studies, Metabolomics and Mass Spectrometry Studies, Mass Spectrometry Techniques and Applications, Transportation Planning and Optimization
Most-Cited Works
- → A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data(2012)98 cited
- → Prediction of High Incidence of Dengue in the Philippines(2014)55 cited
- → Machine learning model for detecting fentanyl analogs from mass spectra(2021)22 cited
- → Evaluation of Existing Models for Prediction of Hurricane Evacuation Response Curves(2013)13 cited
- → Contributions of porosity and laser parameter drift to inter-build variation of mechanical properties in additively manufactured 316 L stainless steel(2023)8 cited
- → Recommending Training Set Sizes for Classification(2021)6 cited
- → Machine learning methods for classifying novel fentanyl analogs from Raman spectra of pure compounds(2023)5 cited
- → Contributions of Porosity and Laser Parameter Drift to Inter-Build Variation of Mechanical Properties in Additively Manufactured 316l Stainless Steel(2022)2 cited
- → Dengue fever outbreak prediction(2011)2 cited
- → PREDICTIVE MODELING OF EMERGING INFECTIONS(2013)2 cited