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Komi Mensah Agboka

Showing results (1-10 of 14) with videos related to

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Mathematical Biosciences and Engineering : MBE|July 14, 2026
Reinterpreting stochastic optimal control under ecological uncertainty: Inferring decision urgency from vegetation biomass dynamicsKomi Mensah Agboka, Tobias Landmann, Elfatih M Abdel-Rahman
Methodsx|August 2, 2024
Biological reinforcement learning simulation for natural enemy -host behavior: Exploring deep learning algorithms for population dynamicsKomi Mensah Agboka, Emmanuel Peter, Erion Bwambale, et al.
Scientific Reports|April 29, 2024
A mathematical model for mapping the insecticide resistance trend in the Anopheles gambiae mosquito population under climate variability in AfricaKomi Mensah Agboka, Mark Wamalwa, James Mutuku Mutunga, et al.
Methodsx|August 14, 2025
When thermal risk indices work and when they don't: A case study of two maize insect pestsKomi Mensah Agboka, Frank Thomas Ndjomatchoua, Luca Rossini, et al.
Biology|September 23, 2022
A Fuzzy-Based Model to Predict the Spatio-Temporal Performance of the <i>Dolichogenidea gelechiidivoris</i> Natural Enemy against <i>Tuta absoluta</i> under Climate ChangeKomi Mensah Agboka, Henri E Z Tonnang, Elfatih M Abdel-Rahman, et al.
Veterinary Parasitology|July 10, 2026
Historical climate change reshapes the thermal niche of Rhipicephalus sanguineus s.l. (Acari: Ixodidae) under uncertaintyKomi Mensah Agboka, Iman Brema Hassaballa, Steve B S Baleba, et al.
Heliyon|March 3, 2025
Steering conservation biocontrol at the frontlines: A fuzzy logic approach unleashing potentials of climate-smart intercropping as a component within the integrated management of fall armyworm in AfricaKomi Mensah Agboka, Henri E Z Tonnang, Emily Kimathi, et al.
Methodsx|February 24, 2025
Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistanceKomi Mensah Agboka, Elfatih M Abdel-Rahman, Daisy Salifu, et al.
Acta Tropica|March 5, 2026
Improving Lassa Fever Risk Mapping Using Self-Organizing Maps and Spatial DeterminantsKomi Mensah Agboka, Moses Mwaura, Bonoukpoè M Sokame, et al.
Spatial and Spatio-Temporal Epidemiology|November 28, 2025
Climate-driven potential for tularemia in East Africa: skill testing and ecological consistency of a transferred risk modelKomi Mensah Agboka, Allan Muohi Ngángá, Bonoukpoè Mawuko Sokame, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Mathematical Biosciences and Engineering : MBE|July 14, 2026
Reinterpreting stochastic optimal control under ecological uncertainty: Inferring decision urgency from vegetation biomass dynamicsKomi Mensah Agboka, Tobias Landmann, Elfatih M Abdel-Rahman
Methodsx|August 2, 2024
Biological reinforcement learning simulation for natural enemy -host behavior: Exploring deep learning algorithms for population dynamicsKomi Mensah Agboka, Emmanuel Peter, Erion Bwambale, et al.
Scientific Reports|April 29, 2024
A mathematical model for mapping the insecticide resistance trend in the Anopheles gambiae mosquito population under climate variability in AfricaKomi Mensah Agboka, Mark Wamalwa, James Mutuku Mutunga, et al.
Methodsx|August 14, 2025
When thermal risk indices work and when they don't: A case study of two maize insect pestsKomi Mensah Agboka, Frank Thomas Ndjomatchoua, Luca Rossini, et al.
Biology|September 23, 2022
A Fuzzy-Based Model to Predict the Spatio-Temporal Performance of the <i>Dolichogenidea gelechiidivoris</i> Natural Enemy against <i>Tuta absoluta</i> under Climate ChangeKomi Mensah Agboka, Henri E Z Tonnang, Elfatih M Abdel-Rahman, et al.
Veterinary Parasitology|July 10, 2026
Historical climate change reshapes the thermal niche of Rhipicephalus sanguineus s.l. (Acari: Ixodidae) under uncertaintyKomi Mensah Agboka, Iman Brema Hassaballa, Steve B S Baleba, et al.
Heliyon|March 3, 2025
Steering conservation biocontrol at the frontlines: A fuzzy logic approach unleashing potentials of climate-smart intercropping as a component within the integrated management of fall armyworm in AfricaKomi Mensah Agboka, Henri E Z Tonnang, Emily Kimathi, et al.
Methodsx|February 24, 2025
Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistanceKomi Mensah Agboka, Elfatih M Abdel-Rahman, Daisy Salifu, et al.
Acta Tropica|March 5, 2026
Improving Lassa Fever Risk Mapping Using Self-Organizing Maps and Spatial DeterminantsKomi Mensah Agboka, Moses Mwaura, Bonoukpoè M Sokame, et al.
Spatial and Spatio-Temporal Epidemiology|November 28, 2025
Climate-driven potential for tularemia in East Africa: skill testing and ecological consistency of a transferred risk modelKomi Mensah Agboka, Allan Muohi Ngángá, Bonoukpoè Mawuko Sokame, et al.
Pageof 2