Sökning: "time estimation methods"
Visar resultat 1 - 5 av 492 uppsatser innehållade orden time estimation methods.
1. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. LÄS MER
2. Predicting inflow and infiltration to wastewater networks based on temperature measurements
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. LÄS MER
3. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER
4. Real-Time Certified MPC for a Nano Quadcopter
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. LÄS MER
5. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER