Sökning: "Real-Time Visibility"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden Real-Time Visibility.
1. Balancing Interoperability and Data Sensitivity: A Design Science approach to building a zero-knowledge API for Healthcare Data
Master-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : The aim of the study was to develop a platform to monitor and evaluate care homes using heterogeneous data sources for a French startup company. The study found that there was no current system to supervise healthcare resources in these facilities with live data. LÄS MER
2. Global Supply Chain Optimisation by Using Sensing Solutions
Master-uppsats, Lunds universitet/ProduktionsekonomiSammanfattning : Problemformulering: Internationalisering, högre volatilitet på efterfrågan och snabbare försörjningskedjor är faktorer som gör den globala kedjan mer komplex. Därför strävar organisationer efter en bättre bild av deras försörjningskedja realtidsprestanda. LÄS MER
3. Real-time Unsupervised Domain Adaptation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine learning systems have been demonstrated to be highly effective in various fields, such as in vision tasks for autonomous driving. However, the deployment of these systems poses a significant challenge in terms of ensuring their reliability and safety in diverse and dynamic environments. LÄS MER
4. Real Time Vehicle Detection for Intelligent Transportation Systems
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER
5. Fog detection using an artificial neural network
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER