Sökning: "Boosted Method"
Visar resultat 1 - 5 av 43 uppsatser innehållade orden Boosted Method.
1. Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : With an ongoing energy crisis in Europe and an ever-evolving political climate where the environmental impacts of industries are regarded as a top priority, the topic of energy efficiency is high on everyone’s agenda. Mathematical optimization of energy consumption requires a model of the problem at hand. LÄS MER
2. Energieffektivisering av villor: En fallstudie med fokus på investeringsbeslut baserat på energi- och ekonomiska analyser
Kandidat-uppsats, Jönköping University/JTH, Byggnadsteknik och belysningsvetenskapSammanfattning : Introduktion (och mål) - Mänskligheten lever idag i en ohållbar värld och ställning tillmänsklighetens påverkan på jorden bör tas. Byggbranschen är en bov i denna fråga dåden står för cirka en tredjedel av värdens slutenergi. LÄS MER
3. Nomadism without Borders: Exploring Connections in Digital Nomad Destinations : An Ethnographic Multiple-Case Study in Malaysia & Colombia
Master-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Background: Globalization and remote work following COVID-19 have boosted the tourism profiles of lifestyle travelers. Especially digital nomads, individuals that work remotely while traveling. These arising tourists contrast with the mass tourism industry, in the sense that digital nomads stay longer and may engage with local culture. LÄS MER
4. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. LÄS MER
5. Application of a Boosted Decision Tree to signals andbackgrounds of the search for Dark Mesons at theATLAS experiment
Master-uppsats, Uppsala universitet/HögenergifysikSammanfattning : An ongoing analysis at the ATLAS experiment is searching for a Dark Matter candidate in the shape of Dark Mesons. Simulations of the signal and background data have been produced with the Monte Carlo method. This project tests the possibilities of using Boosted Decision Trees for the distinction between the simulated signal and background data. LÄS MER