Issa H. Mshani

Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra

Emmanuel P. Mwanga, Doreen J. Siria, Joshua Mitton et al. · BMC Bioinformatics · 2023 · 20 citations · Full text

Computing, Ecology, Entomology +17

Relationships between biological age, distance from aquatic habitats and pyrethroid resistance status of Anopheles funestus mosquitoes in south-eastern Tanzania

Polius G. Pinda, Dickson Msaky, Letus L. Muyaga et al. · Malaria Journal · 2022 · 17 citations · Full text

Life Sciences, Ecology, Entomology +17

Using Bayesian state-space models to understand the population dynamics of the dominant malaria vector, Anopheles funestus in rural Tanzania

Halfan S. Ngowo, Fredros O. Okumu, Emmanuel E. Hape et al. · Malaria Journal · 2022 · 14 citations · Full text

Life Sciences, Biology, Ecology +17

Screening of malaria infections in human blood samples with varying parasite densities and anaemic conditions using AI-Powered mid-infrared spectroscopy

Issa H. Mshani, F. Jackson, Rehema Y. Mwanga et al. · Malaria Journal · 2024 · 14 citations · Full text

Natural Sciences, Bioengineering, Infectious Diseases +17

Wild populations of malaria vectors can mate both inside and outside human dwellings

Ismail H. Nambunga, Betwel J. Msugupakulya, Emmanuel E. Hape et al. · Parasites & Vectors · 2021 · 11 citations · Full text

Life Sciences, Ecology, Entomology +16