Essays about: "Väg-"

Showing result 1 - 5 of 1005 essays containing the word Väg-.

1. 1. Optical Communication using Nanowires and Molecular Memory Systems

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Synkrotronljusfysik

   Author : Thomas Kjellberg Jensen; [2024]
   Keywords : neuromorphic computing; nanowire; molecular dye; DASA photoswitch; OBIC; Physics and Astronomy;

   Abstract : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. READ MORE

3. 2. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting

   University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Author : Elie Roudiere; [2024]
   Keywords : Railway; Track geometry; Machine learning; Statistics; Predictive maintenance; Botniabanan; Järnväg; spårgeometri; maskininlärning; statistik; förebyggande underhåll; Botniabanan;

   Abstract : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. READ MORE

4. 3. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Alexander Florean; [2024]
   Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE

5. 4. Vehicle dynamics modelling of electromagnetic suspensions for MAGLEV applications

   University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Author : Léa Chatelais; [2024]
   Keywords : MAGLEV; Dynamics; Requirements; Suspension; Vehicle modeling; MATLAB; MAGLEV; Dynamisk; Fordran; Upphängning; Fordon modell; MATLAB;

   Abstract : MAGnetic LEVitation Guidance System (MAGLEV) technology was commercially introduced relatively recently in the guided transport field. It is based on removing the wheels and rails of classic railway systems and supporting and guiding the train with magnets and magnetic forces instead. READ MORE

6. 5. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Kobe Moerman; [2023]
   Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

   Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE