Purpose The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF) and subspace (RSS). Design/methodology/approach RF RSS models have been implemented integrating 14 selected condition parametres with inventories generating GPMs. GPM were then validated using empi...

This paper investigates material properties of metakaolin/slag-based geopolymer mortar (GPM), relevant for composite action with conventional Portland cement-based concrete (PCC). GPM formulations different workability (soft and stiff-plastic consistencies) were developed characterized regard to their compressive tensile strength development over time, shrinkage behaviour during hardening under...

We constructed genome probing microarrays (GPM) that are specific to 39 lactic acid bacteria (LAB) in an effort to monitor microbial diversity and biological activity during the fermentation of kimchi, a traditional Korean vegetable product known to contain various health-promoting and immunity-boosting factors. Metagenomes and metatranscriptomes extracted from periodically sampled kimchi soup ...

Most phenotypic traits are controlled by many genes, but a global picture of the genotype-phenotype map (GPM) is lacking. For example, in no species do we know generally how many genes affect a trait and how large these effects are. It is also unclear to what extent GPMs are shaped by natural selection. Here we address these fundamental questions using the reverse genetic data of 220 morphologi...

Retailers, particularly those in the style-goods and fashion apparel industry, are increasingly demanding guaranteed profit margins (GPMs) from their vendors. Under a GPM stipulation, a vendor has to offer a rebate to maintain the retailer’s target margin on the item if the retailer is compelled to take a markdown from the initial price to sell out the ordered quantity for the season. Vendors d...

Abstract The present research aims to build a unique ensemble model based on high-resolution groundwater potentiality (GPM) by merging the random forest (RF) meta classifier-based stacking machine learning method with conditioning factors in Bisha watershed, Saudi Arabia. Using satellite images and other secondary sources, twenty-one parameters were derived this study. SVM, ANN, LR meta-classif...

This paper presents an efficient optimization procedure for solving the reliability-based design (RBDO) problem of structures under aleatory uncertainty in material properties and external loads. To reduce number structural analysis calls during process, mixture models Gaussian processes (MGPs) are constructed prediction responses. The MGP is used to expand application process model (GPM) large...

BACKGROUND By taking parameters into account that describe the variability of continuously monitored glucose and long-term metabolic control [hemoglobin A1c (HbA1c)], the glucose pentagon model (GPM) allows characterization of the glucose profile of individual patients with diabetes in a graphical format. A glycemic risk parameter (GRP) derived from this model might allow a better prognosis of ...

The use of Information and Communication Technology (ICT) in local governance public service delivery systems has added a new dimension the recent times. In West Bengal, processes decentralisation institutional issues were assisted by special projects like SRD (Strengthening Rural Decentralisation) ISGP (Institutional Strengthening Gram Panchayats) respectively supported DFID (2005-2011) World ...