2019112 · ABSTRACT Machines are increasingly aiding or replacing humans in journalistic work, primarily in news distribution. We examined whether news recommendation engines contribute to filter bubbles and…
view more2024615 · Knowing odor sensory attributes of odorants lies at the core of odor tracking when addressing waterborne odor issues. However, experimental determination covering tens of thousands of odorants in authentic water is not pragmatic due to the complexity of odorant identification and odor evaluation. In this study, we propose the first …
view more2024410 · Abstract In the Tunnel Boring Machines (TBMs) construction of soft rock tunnels, adverse geological conditions, such as water-rich and wet strata are often encountered. Water in strata can change the stress state and weaken the mechanical performance of rock mass, further afecting the tunneling process and rock breaking …
view more2019527 · Machine learning and deep learning models are used to predict high-quality tandem mass spectra, providing benefits over traditional analysis methods for interpreting proteomics data.
view more201351 · The fragmentation of grassland leads to the formation of sand dune fields, which are characterized by a mosaic distribution of sand dunes and inter-dune lowlands. Each inter-dune lowland area can be considered as a fragmented patch.
view moreDive into the research topics of 'DEM modeling of one-dimensional compression of sands incorporating statistical particle fragmentation scheme'. Together they form a unique fingerprint.
view more20211029 · This paper examines the effect of bucket geometry (cutting blade profile, floor profile, and blade thickness), speed, motor power output, and muckpile particle sizes on bucket penetration and draft for rubber tire loaders. The work uses a 1:16 scaled model of a load-haul-dump in full factorial experiments to examine the effect of the variables on …
view more202269 · Toward High-level Machine Learning Potential for Water Based on Quantum Fragmentation and Neural Networks.
view more2017215 · The most influential factors in determining the fragmentation patterns of rock or sand grains were found to be the grain morphology and initial microstructure [67]. The fracture process was also confirmed to be affected by the mineralogy.
view more2024425 · The optimization of blasting operations greatly benefits from the prediction of rock fragmentation. The main factors that affect fragmentation are rock mass characteristics, blast geometry, and explosive properties. This paper is a step towards the implementation of machine learning and deep learning algorithms for predicting the extent …
view moreBased on over 30 years' experiences in design, production and service of crushing and s
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