11 citations · 11 across the 1 of their papers we have counts for
3 papers
stat.AP2019
Model ensembles of artificial neural networks and support vector regression for improved accuracy in the prediction of vegetation conditions
Chrisgone Adede, Robert Oboko, Peter W. Wagacha +1
There is increasing need for highly predictive and stable models for the prediction of drought as an aid to better planning for drought response. This paper presents the performanc…
cs.CY2019
Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization
Dennis Banga, Peter Waiganjo
Musculoskeletal conditions affect more than 1.7 billion people worldwide based on a study by Global Burden Disease, and they are the second greatest cause of disability[1,2]. The d…
stat.AP2019★ 11 cited
A mixed model approach to drought prediction using artificial neural networks: Case of an operational drought monitoring environment
Chrisgone Adede, Robert Oboko, Peter Wagacha +1
Droughts, with their increasing frequency of occurrence, continue to negatively affect livelihoods and elements at risk. For example, the 2011 in drought in east Africa has caused…