Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"rule-based models"”.
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Optimization and Rule-Based Models for Hospital Inventory Management
This thesis shows how optimization, rule-based models, and operational analytics can be used to help manage hospital surgical inventory. The models were created for AITA™, a team under Johnson & Johnson’s Ethicon subsidiary. The AITA™ Smart System is an intelligent inventory management solution …
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Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features
… algorithm (SSA) with the StochSim, an agent-based simulation method. Based on the analysis, we propose a hybrid method that possesses the advantages of both methods. Then we propose two new methods that extend the Network-Free Algorithm (NFA) for rule-based models. Numerical results are …
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Modeling steric effects in antibody aggregation using rule-based methods
… of molecular geometry into aggregation models can more accurately capture details of the aggregation process, and may lead to insights into how geom- etry affects aggregate formation. However, it is challenging to simulate aggregation due to the computational cost of simulating large …
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Stochastic Simulation Methods for Solving Systems with Multi-State Species
… of biochemical systems. However, its population-based scheme faces the challenge from multi-state situations in many biochemical models. To tackle this problem, Morton-Firth and Bray's stochastic simulator (StochSim) was proposed with a particle-based scheme. The thesis first provides a detailed …
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Computational tools for materials design: applications in dynamic covalent chemistry, polymers, and electrochemical systems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
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Parameter and topology uncertainty for optimal experimental design
… biology is the building of accurate and detailed models of biological systems. Because biological models are large, complex, and highly nonlinear, building accurate models requires large quantities of data and algorithms appropriate to translate this data into a model of the underlying system. …
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UNDERSTANDING CONDITIONAL MODES OF ACTIONS IN CHEMICAL-INDUCED TOXICITY USING RULE MODELS
… of animal testing. I also discuss common data-based methods to derive hypotheses about toxicity modes of actions, and the associated limitations in capturing multiple biological perturbations. I applied novel data-based workflows, using rule models, to prioritize in vitro assays predictive of …
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Simulating Land Use Land Cover Change Using Data Mining and Machine Learning Algorithms
… transitions at the same time using existing LUCC models as these models are rare and in great demand; (5) reconfigure the existing LTM for urban growth boundary (UGB) simulation because UGB modeling has been ignored by the LUCC modeling community, and (6) compare two rule based models for urban …