Essays about: "importance in accuracy"

Showing result 1 - 5 of 433 essays containing the words importance in accuracy.

  1. 1. Process parameter optimisation for Waspaloy using Laser-Directed Energy Deposition with Powder

    University essay from Högskolan Väst/Institutionen för ingenjörsvetenskap

    Author : Johannes Lövhall; [2024]
    Keywords : Process parameter optimisation; Waspaloy; Laser-Directed Energy Deposition with Powder;

    Abstract : Material utilisation is of importance in the manufacturing industry formaking the most of each material, minimising waste and increasing cost-effectiveness. In this thesis, samples of Waspaloy built with the method of L-DED-P has been analysed in order to investigate how process pa-rameters influence the build quality and geometrical accuracy in as-builtobjects. READ MORE

  3. 2. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    University essay from Högskolan i Gävle/Elektronik

    Author : Pradip Nath; [2024]
    Keywords : Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Abstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE

  4. 3. Robotic Automation of Mechanical Verification

    University essay from KTH/Integrerad produktutveckling och design

    Author : Sofie Gårdestam; Amalia Kronér; [2024]
    Keywords : ;

    Abstract : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. READ MORE

  5. 4. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Keywords : Chaining; Classification; Data Quality; Few-Shot Learning; Large Language Model; Machine Learning; Noise; Prompt; Prompt Engineering; SQL; Structured Query Language; Text-to-SQL; Zero-Shot Learning; Noise Identification;

    Abstract : 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. READ MORE

  6. 5. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Leila Bencheikh; Niklas Höglund; [2023-08-03]
    Keywords : ChatGPT; AI-detector accuracy; requirements; experimental study;

    Abstract : This thesis explores the efficacy of ChatGPT in generating software requirements and compares its performance to human participants through an experimental study. The study addresses three main research questions (RQs), examining how ChatGPT-generated requirements align with human-written requirements, the variation in quality between different versions of ChatGPT using two additional sub-questions that look at improvement in quality from feedback and consistency of quality when the same prompt is queried multiple times, and the capacity of the Content at Scale AI detector in identifying AI-generated requirements. READ MORE