Sökning: "integrated model"
Visar resultat 26 - 30 av 1537 uppsatser innehållade orden integrated model.
26. Lateral Control of Heavy Vehicles
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. LÄS MER
27. Wi-Fi fingerprinting as a mean to measure building occupancy : A case study in an office environment
Master-uppsats, KTH/TransportplaneringSammanfattning : The task of collecting visitor data in an indoor environment and therein determining the occupancy of a building is an extensive task. Conventional methods are expensive, time-consuming, and often lack the ability to produce data in longer time series. Further, they often require disruption of the studied area as equipment must be deployed. LÄS MER
28. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER
29. A First Step Towards Profitable and Sustainable Reverse Logistics : A qualitative study of how companies can balance sustainability priorities in their Reverse Logistic practices
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/FöretagsekonomiSammanfattning : A rapid change in the market context and a growing concern regarding the environment with initiatives such as Agenda 2030 and Paris Agreement is what organisations are facing today. Further, macro-factors including war, inflation and energy crisis contribute to additional concerns in the market. LÄS MER
30. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER