Sökning: "M A performance"
Visar resultat 16 - 20 av 826 uppsatser innehållade orden M A performance.
16. Load-velocity profiles as a predictor of performance level in swimming : What differentiates international elite swimmers from national elite – force capacity or efficiency?
Master-uppsats, Gymnastik- och idrottshögskolan, GIH/Institutionen för fysiologi, nutrition och biomekanikSammanfattning : Aim The purposes of this study were to investigate if the load-velocity (L-V) profile parameters – force capacity and efficiency - differ between swimmers of different performance level, and to investigate if efficiency is the key performance indicator between international elite and national elite level swimmers. Method Fifty-four swimmers (27 female and 27 male) of either regional level, national elite or international elite level, participated in this study. LÄS MER
17. Integrating web data miningand machine learningalgorithms to predict progression free survival and overall survival in multiple myeloma patients
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Multiple myeloma patients have highly variable progression free survival and overall survivalranging from a few weeks to more than 5 years. Stratification of these patients can help toidentify high risk patients i-e patients with short-term progression free survival and overallsurvival. LÄS MER
18. Investigating self-discharge in a graphite dual-ion cell using in-situ Raman spectroscopy.
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/StrukturkemiSammanfattning : Anion intercalation in the graphite positive electrode of a dual-ion battery requires high potential (> 4.3 V vs Li+/Li), which aggravates parasitic reactions involving electrolyte decomposition and Al corrosion, manifesting in poor coulombic efficiency, cycle life, and quick self-discharge. LÄS MER
19. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. LÄS MER
20. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. LÄS MER