Essays about: "sampling time optimization"

Showing result 1 - 5 of 39 essays containing the words sampling time optimization.

  1. 1. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Li Ang Hu; Long Ma; [2023]
    Keywords : Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

    Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE

  3. 2. Intelligent reflective vest with implementation of ETSI VAM protocol : Development and testing of an embedded system for the protection of Vulnerable Road Users

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Linnéa Olsson; Markus Rydeberg; [2023]
    Keywords : ;

    Abstract : This master thesis presents a wearable, ETSI-compliant system for protecting Vulnerable Road Users (VRUs). The study explores the current ETSI VAM parameters, which are too similar to vehicle pa- rameters and may react differently to different types of VRUs, gen- erating an excessive or insufficient number of VAMs, and potentially jeopardizing VRU safety. READ MORE

  4. 3. Coverage Motion Planning for Search and Rescue Missions : A Costmap Based Approach for fixed wing UAVs using Simulated Annealing &Cubic Splines

    University essay from Karlstads universitet/Institutionen för ingenjörsvetenskap och fysik (from 2013)

    Author : Fredrik Rönnkvist; [2023]
    Keywords : Motion planning; Path planning; Cubic splines; Coverage path planning.;

    Abstract : The present study proposes a novel approach to Coverage Path Planning for unmanned aerial vehicle (UAV) inspired by the Orienteering Problem. The main goal is to develop an algorithm suitable for Search and Rescue Missions, which can produce a search pattern with dynamical constrains, that is not limited to the traditional back-and-forth motion or spiral patterns. READ MORE

  5. 4. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

    Author : Anton Zackrisson; [2023]
    Keywords : electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

    Abstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE

  6. 5. Traction Adaptive Motion Planning for Autonomous Racing

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Shekhar Raikar; [2022]
    Keywords : Autonomous vehicles; Motion planning and control; Traction-adaptive; Localization; Robotics; GPU Sampling; Augmented Real Time Iteration.; Autonoma fordon; Rörelseplanering och kontroll; Traction adaptiv; Lokalisering; Robotik; GPU Sampling Augmented Real Time Iteration;

    Abstract : Autonomous driving technology is continuously evolving at an accelerated pace. The road environment is always uncertain, which requires an evasive manoeuvre that an autonomous vehicle can take. READ MORE