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Onyeuwaoma Nnaemeka Dom

AerosolsAir PollutantsAir PollutionArtificial neural networkastro-ph.EPastro-ph.HEastro-ph.IMDroughtDroughtsEnvironmental Monitoring

On Valency

published · living versions
W_nbf2f935·v1 · currentpublished
Launching the VASCO citizen science project
with Beatriz Villarroel, Kristiaan Pelckmans, Enrique Solano, Mikael Laaksoharju +23
1 version

Preprints & journals

4 papers in the corpus · 2020–2024
Modelling drought in South Africa: meteorological insights and predictive parameters.39304536 · Onyeuwaoma, Nnaemeka, Sivakumar, Venkataraman, Bade, Mahesh2024 · 9 citationsEnvironmental monitoring and assessment. 2024;196(10):965
Erythemal UV radiation across Nigeria: where do we stand?36039140 · Egbuim, Timothy C, Onyeuwaoma, Nnaemeka D, Okere, Bonaventure I et al.2022 · 5 citationsHeliyon. 2022;8(8):e10158
A neural network-based method for modeling PM 2.5 measurements obtained from the surface particulate matter network.33846862 · Onyeuwaoma, Nnaemeka, Okoh, Daniel, Okere, Bonaventure2021 · 13 citationsEnvironmental monitoring and assessment. 2021;193(5):261
Launching the VASCO citizen science project2009.10813v4 · Beatriz Villarroel, Kristiaan Pelckmans, Enrique Solano et al.2020 · 2 citationsUniverse, 2022, vol. 8, issue 11, p. 561on Valency
Career total: 19 works. 4 are in this corpus.

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