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method algorithm » mould algorithm (Expand Search)
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method algorithm » mould algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
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361
Inferential sensing techniques in industrial applications
Published 0007“…Different types of dynamical neural networks are combined according to system operation and emission behavior. Real data from a boiler plant is used to develop the model. …”
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masterThesis -
362
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363
RFID localization using single reader antenna. (c2014)
Published 2016“…RFID became very popular since it is very cost effective and allowed for automating the process of collecting information about the asset and its. …”
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masterThesis -
364
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365
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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366
MoveSchedule
Published 1995“…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…”
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masterThesis -
367
Framework for rapid design and optimisation of immersive battery cooling system
Published 2025“…A conjugate heat transfer model for a 3S2P pouch cell module (20 Ah LiFePO₄) is developed and validated against experimental data (< 2% error). The CFD model of a battery module is developed to train an ultra-fast metamodel for battery geometry optimisation. …”
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368
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The first model (M1) determines the oil-water FP, whereas the second model (M2) predicts the oil-water PG. 1637 experimental data points for the oil-water flow in both horizontal and inclined pipes are used to develop the models. …”
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369
CEAP
Published 2016“…The first challenge is related to the highly mobile nature of vehicles that complicates the processes of monitoring, buffering, and analyzing observations on these vehicles as they are continuously moving and changing their locations. …”
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370
Localizing-ground Transmitters Using Airborne Antenna Array
Published 2020Get full text
doctoralThesis