Essays about: "Exhaustive Search"

Showing result 1 - 5 of 32 essays containing the words Exhaustive Search.

1. 1. Nurse's experience in nursing hypertensive patients : A descriptive literature review

   University essay from Högskolan i Gävle/Avdelningen för vårdvetenskap

   Author : Xiuwen Hong; Xinyuan Teng; [2023]
   Keywords : ;

   Abstract : Background As the standard of living increases and the global population ages, theprevalence of hypertension was expected to rise further, and research suggested thateffective and consistent care may have a positive impact on hypertension. Nursesplayed an important role as caregivers, communicators and educators when caring forpatients with hypertension and had gained much experience in caring forhypertension. READ MORE

3. 2. Optimization of Physical Uplink Resource Allocation in 5G Cellular Network using Monte Carlo Tree Search

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

   Author : Gerard Girame Rizzo; [2022]
   Keywords : 5G NR; PUCCH format; Combinatorial optimization; Physical resource allocation; Monte Carlo Tree Search; 5G NR; PUCCH-format; kombinatorisk optimering; fysisk resursfördelning; Monte Carlo Tree Search;

   Abstract : The Physical Uplink Control Channel (PUCCH), which is mainly used to transmit Uplink Control Information (UCI), is a key component to enable the 5G NR system. Compared to LTE, NR specifies a more flexible PUCCH structure to support various applications and use cases. READ MORE

4. 3. Automatic Development of Pharmacokinetic Structural Models

   University essay from Uppsala universitet/Institutionen för farmaci

   Author : Alzahra Hamdan; [2022]
   Keywords : pharmacometrics; non-linear mixed effects; modelling; pharmacokinetics; NONMEM; automation; exhaustive algorithm; stepwise algorithm; structural models; inter-individual variability; residual error models; model selection;

   Abstract : Introduction: The current development strategy of population pharmacokinetic models is a complex and iterative process that is manually performed by modellers. Such a strategy is time-demanding, subjective, and dependent on the modellers’ experience. READ MORE

5. 4. Search methods for Strategy Synthesis for Multi-Agent Games of Imperfect Information

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

   Author : Axel Jernbäcker; Max Junestrand; [2021]
   Keywords : ;

   Abstract : Finding strategies for agents in multi-agent systems of imperfect information is a difficult and time-consuming endeavor. It is thus of interest to find ways of doing this more effectively. This study aims to improve the performance of a strategy synthesizer tool by testing two search techniques and evaluating their performance. READ MORE

6. 5. Hyperparameter Tuning Using Genetic Algorithms : A study of genetic algorithms impact and performance for optimization of ML algorithms

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Franz David Krüger; Mohamad Nabeel; [2021]
   Keywords : Machine learning; Data mining; ML algorithm; Genetic algorithms; hyperparameter optimization.;

   Abstract : Maskininlärning har blivit allt vanligare inom näringslivet. Informationsinsamling med Data mining (DM) har expanderats och DM-utövare använder en mängd tumregler för att effektivisera tillvägagångssättet genom att undvika en anständig tid att ställa in hyperparametrarna för en given ML-algoritm för nå bästa träffsäkerhet. READ MORE