Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

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Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

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Fig 9 - by Dennis Ochola (11626912)

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Fig 7 - by Dennis Ochola (11626912)

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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

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Fig 4 - by Dennis Ochola (11626912)

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Fig 5 - by Dennis Ochola (11626912)

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Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

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Geographic shifts of banana in Uganda. by Dennis Ochola (11626912)

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Average nearest neighbour analysis before and after filtering of data points. by Dennis Ochola (11626912)

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List of 12 covariates selected subjectively and their underlying reasons for their selection. by Dennis Ochola (11626912)

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Comparison between logistic regression models of different complexity and structure derived from the 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

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Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

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Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

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Aggregated agroecological zones of Uganda (adapted from Wortmann & Eledu, 1999). by Dennis Ochola (11626912)

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The material parameters of the 50 MPa concrete for the simulations [26]. by Xiaochao Jin (3993236)

Effect of the Hill coefficient on estimates of <i>ε</i>_max (left column) and IC₅₀ (right column) for the logistic model with drug applied to the growth rate <... by Hope Murphy (8843516)

Optimal conditions for mean germination time. by Ahad Asghari (20615202)

“…The results revealed that increasing PAW levels up to 0.18 min/mL led to an increase in seed germination percentage, seedling weight (both fresh and dry), seedling length, vigor indexes A and B, and water uptake and decreasing mean germination time. …”

3D snapshots of the tumor system with single-agent BHQ880 treatment at (a) time step 40, (b) time step 50 and (c) time step 120. by Minna Qiao (836556)

Co-expression network construction to neighborhood analysis-based related gene prediction. by Seon-Pil Jin (17364626)