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Evaluation of a data-driven primary sedimentation tank model using settleometer data
Published 2023“…Important to note is that both the FS-PST and the 5Csettleometer received the same influent characteristics to ensure that the settleometer overflow and underflow are reasonably compared with the FS-PST to check the representativeness. While the 5C-settleometer has proven (i) the ability to segregate the particles into distinguishable particle sizes, and (ii) the ability to somewhat account for the overall removal proportions that are comparable to the FS-PST at a flow rate fluctuating between 0.6 and 0.8 l/min, its relationship with the DDPST model needs to be reassessed. …”
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Development of analytical flexural models for steel fibre-reinforced concrete beams with and without steel bars
Published 2011Get full text
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Comparing Screening Strategies for Gestational Diabetes in a South African Population
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Systems level cancer disease target identification using tumor microenvironment dynamics
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An investigation of radiated EMI induced in wire-connected electronic systems : numerical modelling and experimental measurements
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Towards a triphasic Theory of Porous Media-based model for chloride-induced corrosion in reinforced concrete
Published 2020“…Research has shown that although the majority of time-to-cracking service life models for reinforced concrete structures neglect the permeation of rust into the cement paste adjacent to the reinforcement, it is this mechanism that is responsible for discrepancies between experimental data and model results. …”
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The design of a data model (DM) for managing durability index (DI) results for national road infrastructure
Published 2020“…The tables were also checked to ensure that they are capable of supporting the required transactions and the required integrity constraints on the database were defined The logical data model (DM) then added extra information to the conceptual data model (DM) elements through defining the database tables or basic information required for the physical database. …”
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Determination of a robust metabolic barcoding model for chemotaxonomy in Aizoaceae species : expanding morphological and genetic understanding
Published 2016“…Clustering analysis of a subset of ions which corresponded to compounds previously isolated from Aizoaceae species did not show species-specific clustering and was inevitably biased by compounds from species with a greater number of studies focusing on compound isolation. Ideally, this model should be expanded to include other species from the Aizoaceae family to further check robustness of the model. …”
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Applying data analytics for enhanced construction project performance through structural concrete rework predictive models.
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Simulation of Fibre Pull-out Using a Graphics Processing Unit Accelerated Discrete Element Model
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Development of a procedure model to forecast machine health based on long-term power consumption data
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Prediction of Distresses in Pavement Networks: A Machine Learning Approach
Published 2024“…For modeling fatigue cracking and longitudinal cracking, the model produced a MAE of 4.92% and 2.96%, respectively, with an R2 of 0.672 and 0.692 respectively. …”
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Enterprise Resource Planning (ERP) Implementation in a Sub-Saharan African Nation: An Empirical Test of Competing Models and Theories
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Sustainable land use planning in the aftermath of the clearing of alien invasive plant species : a system dynamics modelling approach
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Automated mobile water leakage assessment system
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