A CASE-BASED REASONING STRATEGY OF INTEGRATING CASE-LEVEL AND COVARIATE-LEVEL REASONING TO AUTOMATICALLY SELECT COVARIATES FOR SPATIAL PREDICTION

A case-based reasoning strategy of integrating case-level and covariate-level reasoning to automatically select covariates for spatial prediction

ABSTRACTSpatial prediction is essential for obtaining the spatial distribution of geographic variables and selecting appropriate covariates for this process can be challenging, especially for non-expert users.For easing the burden of selecting the appropriate covariates, two case-based reasoning strategies, namely the most-similar-case and covariat

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A Novel Non-Entropic Objective Function for Multilevel Optimal Threshold Selection Using Adaptive Equilibrium Optimizer

Multilevel optimal threshold selection is important and comprehensively used in the area of image processing.Mostly, entropic information-based threshold selection techniques are used.These methods make use of the entropy of the distribution of the grey levels of an image.However, entropy functions largely depend on spatial distribution of the imag

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Identification and Functional Analysis of Glutathione S-Transferases from Sitophilus zeamais in Olfactory Organ

Odorant-degrading enzymes (ODEs) play an important role in rapidly degrading and inactivating odorant molecules that have completed information transmission, as well as in maintaining the stability and sensitivity of insect olfactory sensing systems.Glutathione S-transferases (GSTs), as Accessory Tray a group of ODEs, supposedly bear the ability to

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