A transfer learning approach for predictive modelling of bioprocesses using small data.
Sign Up to like & getrecommendations! Published in 2021 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.27980
Abstract: Predictive modelling of new biochemical systems with small data is a great challenge. To fill this gap, transfer learning, a subdomain of machine learning that serves to transfer knowledge from a generalised model to a… read more here.
Keywords: transfer learning; small data; transfer; approach ... See more keywords
Predictive modelling of hydration and mechanical performance of low Ca composite cements: Possibilities and limitations from industrial perspective
Sign Up to like & getrecommendations! Published in 2017 at "Cement and Concrete Research"
DOI: 10.1016/j.cemconres.2017.05.020
Abstract: Abstract We quantified hydration and performance development of composites cements containing metakaolin in the rage of 0–40% and investigated applicability of thermodynamic and micromechanical models to predict the evolution of hydrates assemblage and of performance,… read more here.
Keywords: hydration mechanical; predictive modelling; modelling hydration; performance ... See more keywords
Predictive modelling in paleoenvironmental reconstruction: The micromammals of Manot Cave, Israel.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of human evolution"
DOI: 10.1016/j.jhevol.2019.102652
Abstract: This paper describes the micromammalian remains and paleoenvironment of the Upper Paleolithic sequence of Manot Cave (46-34 ka), southern Levant. Micromammal remains were identified from Ahmarian (46-42 ka), Levantine Aurignacian (38-34 ka) and post-Levantine Aurignacian… read more here.
Keywords: predictive modelling; modelling paleoenvironmental; post levantine; levantine aurignacian ... See more keywords
Predictive modelling of movements of refugees and internally displaced people: towards a computational framework
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Ethnic and Migration Studies"
DOI: 10.1080/1369183x.2022.2100546
Abstract: ABSTRACT Predicting forced displacement is an important undertaking of many humanitarian aid agencies, which must anticipate flows in advance in order to provide vulnerable refugees and Internally Displaced Persons (IDPs) with shelter, food, and medical… read more here.
Keywords: modelling movements; movements refugees; internally displaced; predictive modelling ... See more keywords
Approach to predictive modelling of total municipal solid waste removal volumes
Sign Up to like & getrecommendations! Published in 2017 at "Biofuels"
DOI: 10.1080/17597269.2016.1231956
Abstract: ABSTRACT Performance of enterprises providing services in the field of solid waste disposal at the municipal level is of great socio-economic importance. This article presents the main outcomes of the research focused on production and… read more here.
Keywords: removal; waste; approach predictive; municipal solid ... See more keywords
Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6
Sign Up to like & getrecommendations! Published in 2019 at "Materials"
DOI: 10.3390/ma12162551
Abstract: The aim of the paper was to examine the influence of cutting conditions on the roughness of surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 prepared by high-velocity oxygen fuel (HVOF)… read more here.
Keywords: predictive modelling; investigation surface; surface roughness; modelling machining ... See more keywords
Strength Predictive Modelling of Soils Treated with Calcium-Based Additives Blended with Eco-Friendly Pozzolans—A Machine Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15134575
Abstract: The unconfined compressive strength (UCS) of a stabilised soil is a major mechanical parameter in understanding and developing geomechanical models, and it can be estimated directly by either lab testing of retrieved core samples or… read more here.
Keywords: strength; strength predictive; machine learning; predictive modelling ... See more keywords
GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)
Sign Up to like & getrecommendations! Published in 2019 at "Sustainability"
DOI: 10.3390/su11215969
Abstract: Archaeological predictive modelling (APM) is an important method for archaeological research and cultural heritage management. This study tests the viability of a new statistical method for APM. Frequency ratio (FR) is widely used in the… read more here.
Keywords: archaeological predictive; gis based; based statistical; romania ... See more keywords
Preliminary long-term predictive modelling of groundwater resources in view of climate change – a case study from eastern Poland
Sign Up to like & getrecommendations! Published in 2019 at "Geological Quarterly"
DOI: 10.7306/gq.1495
Abstract: The paper discusses an effective and simple approach to preliminary long-term predictive modelling to the estimation of the effects of predicted climate change on groundwater resources in aquifer recharged by rain infiltration for the end… read more here.
Keywords: predictive modelling; groundwater; climate change; groundwater resources ... See more keywords