Climate change is seriously impacting the well-being of rural agro-pastoralists whose main livelihoods depend on rainfed agriculture. This study examined factors that influence farmers' decisions to climate adaptation measures. The sampled 411 agro-pastoralist farmers and used factor analysis extract correlated uncorrelated adjustment strategies. These strategies include; Crop diversification, ...

Automated Machine Learning (AutoML) systems have been shown to efficiently build good models for new datasets. However, it is often not clear how well they can adapt when the data evolves over time. The main goal of this study understand effect stream challenges such as concept drift on performance AutoML methods, and which adaptation strategies be employed make them more robust. To that end, w...

Dispersal is one of the primary mechanisms by which organisms adapt to spatial and temporal variation in environment. Theory predicts that increasing spatiotemporal drives selection for offspring dispersal away from their natal habitat another. However, due inherent difficulties measuring plant systems, there are few empirical tests extent this hypothesis can explain seed strategies. In study, ...

Evolution Strategies (ES) are a class of Evolutionary Algorithms based on Gaussian mutation and deterministic selection. Gaussian mutation captures pair-wise dependencies between the variables through a covariance matrix. Covariance Matrix Adaptation (CMA) is a method to update this covariance matrix. In this paper, the CMA-ES, which has found many applications in solving continuous optimizatio...

Today, companies – large and small – can select Workflow Management Systems (WfMSs) to support their business processes. When processes are critical, it is fundamental that WfMS infrastructures continue to provide pre-established service levels to users in the face of disruptions. Adaptation ad-dresses precisely this issue. Current architectures do not incorporate adequate solutions that enhanc...