Sökning: "Ma- chine Learning"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Ma- chine Learning.

1. 1. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Emelie Sjökvist; [2023]
   Nyckelord :;

   Sammanfattning : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. LÄS MER

3. 2. Machine Learning in RegulatoryCompliance Software Systems : An Industrial Case Study

   Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Maryam Rezaei; [2022]
   Nyckelord :Digital Compliance; Regulatory Compliance; AI-Based system; Ma- chine Learning; Risk Framework;

   Sammanfattning : The presented study investigates the role of Machine Learning in Regulatory Compliance software systems by conducting a case study in the maritime industry. There is a need to obtain a clear understanding of Machine Learning approaches for automating regulatory compliance. LÄS MER

4. 3. Stochastic spiking neural networks based on ferroelectric memory devices

   Master-uppsats, Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen

   Författare :Karolis Sulinskas; [2021]
   Nyckelord :SNN; FTJ; Stochastic SNN; Spiking neural network; Binary SNN; SNN simulation; Physics and Astronomy;

   Sammanfattning : In the last decade the world has seen a massive explosion of activity in the ma chine learning field. While the benefits of machine learning are ever growing and more impressive, the drawbacks of the technology are becoming clear and can hardly be ignored. LÄS MER

5. 4. Machine learning in the design phase of the construction

   Master-uppsats, Lunds universitet/Byggproduktion

   Författare :Erik Hiekkala; [2020]
   Nyckelord :Machine learning; Data; Digitize; Construction industry; Technology and Engineering;

   Sammanfattning : Machine learning has the potential to improve processes and revolutionizeeconomies on a global level and that is also true for the construction indus-try. Machine learning has started to get attention in recent years as computerpower have increased and the cost has reduced. LÄS MER

7. 5. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sonia-Florina Horchidan; [2020]
   Nyckelord :Federated Learning; Time Series Forecasting; Clustering; Pattern Matching; Real-time Data Processing; Differential Privacy; Data Privacy.; Federerade Lärande; Tidsseriesprognos; Klustergruppering; Mönstermatchning; Realtidshantering av data; Differentialintegritet; Dataintegritet;

   Sammanfattning : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. LÄS MER