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Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

open access: yesScientific Reports
The present research employs new boosting-based ensemble machine learning models i.e., gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined compressive strength (UCS) of geopolymer stabilized clayey soil.
Gamil M. S. Abdullah   +6 more
doaj   +1 more source

Steel Industry Slags Compared with Calcium Carbonate in Neutralizing Acid Mine Soil [PDF]

open access: yes, 2005
Author Institution: Ohio State University Agricultural Technical Institute, OHOhio has substantial lands impacted by surface mining for coal and an active steel industry.
Munn, David A.
core  

Development of an Unmanned Aerial Vehicle (UAV) designed to locate the position of a projectile’s termination using image processing algorithms [PDF]

open access: yes, 2013
Unmanned Aerial Vehicles (UAVs) have been widely used to acquire high quality terrain images of the areas of interest, particularly when it potentially involves risk of human life or when the area is inaccessible.
Patnaik, Partha
core  

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