NEAR-ICE HYDROGRAPHIC DATA FROM SEAGLIDER MISSIONS IN THE WESTERN GREENLAND SEA IN SUMMER 2014 AND 2015


Application research on the prediction of tar yield of deep coal seam mining areas based on PSO-BPNN machine learning algorithm

There are abundant deep coal resources in northern Shaanxi, but the fragile natural environment in this area hinders the large-scale exploitation of oil-rich coal.In-situ thermal conversion of deep coal to oil and gas will become an environmentally friendly technology for oil-rich coal mining.Accurate prediction of oil-rich coal tar yield in variou

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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems

This article investigates the application of eXtreme gradient boosting (XGBoost) and hybrid metaheuristics optimisation techniques to predict the axial load bearing capacity of fully grouted rock bolting systems.For this purpose, a comprehensive dataset of 72 pull-out tests was built, considering various influential parameters such as three water-t

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Analyzing the Labor Conditions and Ways of Their Improvement

The article is aimed at studying labor conditions in the enterprise and defining possible directions to improve them in the context of optimizing the working efficiency of employees.The authors examined in detail some components of labor conditions: sanitary and hygienic, aesthetic, physiological Foot Cream and socio-psychological.The properties of

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Numerical Study on Improved Baffle in Compact Test Separator

The aim of this paper is to design two improved baffles to solve the Antenna Products injection problem caused by traditional baffle in compact test separatorand use FLUENT software to study their effects on separator pressure loss and separation efficiency.The result shows: that anti-injection baffle can make compact test separator with a high sep

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