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Showing result 1 - 5 of 9 essays matching the above criteria.

1. 1. Applying Nonlinear Mixed-Effects Modeling to Model Patient Flow in the Emergency Department : Evaluation of the Impact of Patient Characteristics on Emergency Department Logistics

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Umberto Rosamilia; [2022]
   Keywords : Emergency Department; Nonlinear Mixed-Effects Modeling; Healthcare Logistics; Patient Flow Modeling; Patient Pathways; Markov Process; Akutmottagning; Icke-Linjär Blandad Effektmodellering; Vårdlogistik; Patientflödesmodellering; Patientflöde; Markovprocess;

   Abstract : Emergency departments are fundamental for providing high-quality care, and their operations directly impact the logistics of the hospitals in their entirety. Poor emergency department performance leads to delays, prolonged hospitalization, and improper allocation of resources, reducing the quality of the provided care and increasing costs. READ MORE

3. 2. Graph Bandits : Multi-Armed Bandits with Locality Constraints

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Kasper Johansson; [2022]
   Keywords : Multi-armed bandits; locality constraints; reinforcement learning; Flerarmade banditer; lokala restriktioner; förstärkningsinlärning;

   Abstract : Multi-armed bandits (MABs) have been studied extensively in the literature and have applications in a wealth of domains, including recommendation systems, dynamic pricing, and investment management. On the one hand, the current MAB literature largely seems to focus on the setting where each arm is available to play at each time step, and ignores how agents move between the arms. READ MORE

4. 3. Modelling Parallel Stochastic-Time Systems Using Timed and Synchronous Layers : Introducing the Parallel Stochastic Timed State Machine

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Anton Hampus; [2022]
   Keywords : ;

   Abstract : In the development phase of real-world cyper-physical systems, modelling and analysis often plays a vital role. For instance, before a new system is produced and deployed, questions such as ‘what is the probability that the system will fail within its lifetime?’ must be answered. READ MORE

5. 4. Belief-aided Robust Control for Remote Electrical Tilt Optimization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jack Jönsson; [2021]
   Keywords : Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

   Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE

6. 5. Can students' progress data be modeled using Markov chains?

   University essay from KTH/Matematisk statistik

   Author : Filip Carlsson; [2019]
   Keywords : Markov chain; Markov model; Markov process; Statistik; tillämpad matematik; markovkedjor; markovkedja; markov; markovprocess;

   Abstract : In this thesis a Markov chain model, which can be used for analysing students’ performance and their academic progress, is developed. Being able to evaluate students progress is useful for any educational system. It gives a better understanding of how students resonates and it can be used as support for important decisions and planning. READ MORE