Sökning: "noise analysis"
Visar resultat 1 - 5 av 762 uppsatser innehållade orden noise analysis.
1. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER
2. Simulator to generate realistic data from a vehicle driving in a mine
Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : This project aims to develop a simulator for generating realistic data from vehicles operating in underground mines, encompassing positional data and sensor values of the velocity and angle. The project addresses the challenge of analyzing the Hybrid Positioning algorithm within Mobilaris Onboard, a navigation system for underground mines. LÄS MER
3. Robustness Analysis of Perfusion Parameter Calculations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. LÄS MER
4. Erfarenheter av vårdmiljön hos vuxna patienter med autismspektrumtillstånd
Uppsats för yrkesexamina på grundnivå, Högskolan Väst/Institutionen för hälsovetenskapSammanfattning : Autism spectrum disorder is a diagnosis that involves difficulties with sensory sensitivity, communication, and social interaction. This condition means that the physical and psychosocial care environment can be experienced as difficult to manage. LÄS MER
5. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. LÄS MER