PREDICTING HIGHWAY CONSTRUCTION COSTS: COMPARISON OF THE PERFORMANCE OF RANDOM FOREST, NEURAL NETWORK AND SUPPORT VECTOR MACHINE MODELS

Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Network and Support Vector Machine Models

Inaccurate cost estimates have substantial effects on the final cost of construction projects and erode profits.Cost estimation at conceptual phase is a challenge as inadequate information is available.For this purpose, approaches for cost estimation have been explored thoroughly, however click here they are not employed extensively in practice.The

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A Review of Jamming Actuation in Soft Robotics

Jamming is a popular and versatile soft robotic mechanism, enabling new systems to be developed that can read more achieve high stiffness variation with minimal volume variation.Numerous applications have been reported, including deep-sea sampling, industrial gripping, and use as paws for legged locomotion.This review explores the state-of-the-art

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GO-PROMTO illuminates protein membrane topologies of glycan biosynthetic enzymes in the Golgi apparatus of living tissues.

The Golgi apparatus is the main site of glycan biosynthesis in eukaryotes.Better understanding of the membrane topology of the proteins and enzymes involved can impart new mechanistic insights into these processes.Publically available bioinformatic tools provide highly variable predictions of membrane topologies for given proteins.Therefore we devi

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