Sökning: "vector"
Visar resultat 1 - 5 av 1566 uppsatser innehållade ordet vector.
1. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER
2. Over-the-Air Federated Learning with Compressed Sensing
Master-uppsats, Linköpings universitet/KommunikationssystemSammanfattning : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). LÄS MER
3. Digital Front End Algorithms for Sub-Band Full Duplex
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER
4. Predicting Breakdowns in Transportation Vehicles using Supervised Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER
5. Fractional Cointegration and Price Discovery in FX Markets
D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : I employ bivariate fractionally cointegrated vector autoregressive models to analyze price discovery on the EUR/GBP market. Using daily spot rates between 2010 and 2022 along with corresponding one-month and three-month forward rates, I extract parameter estimates for pairwise long-run relationships, each pair containing a spot and a forward. LÄS MER
