Sökning: "data fysik"
Visar resultat 1 - 5 av 1260 uppsatser innehållade orden data fysik.
1. Designing a reactive feedback feature for end-users in web-based media software
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Customer feedback is essential for improving a company's products or services and increasing customer satisfaction. Despite its value, user involvement faces many challenges, such as low user motivation and feedback with missing context information. LÄS MER
2. Simulation-based discrimination of Crab pulsar models with XL-Calibur
Master-uppsats, KTH/FysikSammanfattning : Polarisation of X-ray light is being investigated with polarimeters to extend the borders of what can be observed. Distant compact objects, such as pulsars, that are to small on the sky to be analysed with imaging can be investigated by analysing the polarisation of the emitted light. This can reveal physics previously hidden by their small nature. LÄS MER
3. Efficiency by design : A way to meet expert users' needs
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : The administration software is a crucial component of any successful company. It is often overlooked, but it plays an essential role in ensuring the smooth operation of the business. It is the backbone of the company's operations, and it must be able to meet the evolving needs of its users. LÄS MER
4. Learning a Grasp Prediction Model for Forestry Applications
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. LÄS MER
5. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. LÄS MER