Essays about: "Data-driven model"

Showing result 1 - 5 of 268 essays containing the words Data-driven model.

1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

   University essay from Institutionen för tillämpad informationsteknologi

   Author : Mathias Forsman; Yihan Yang; [2024-03-05]
   Keywords : Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

   Abstract : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. READ MORE

3. 2. Learning a Grasp Prediction Model for Forestry Applications

   University essay from Umeå universitet/Institutionen för fysik

   Author : Elias Olofsson; [2024]
   Keywords : Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

   Abstract : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. 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. Circular economy of spare parts and data-driven analytics - “Unlocking Sustainable Value: Analyzing Buyback Policy Circularity Performance in Volvo Group’s Reverse Supply Chain - A Renault Trucks Case Study”

   University essay from Göteborgs universitet/Graduate School

   Author : Vladyslav Zahladko; [2023-07-20]
   Keywords : closed-loop supply chain; reverse logistics; buyback policy; circular economy; performance measurement; supply chain analytics;

   Abstract : To address the current environmental challenges, companies are steadily shifting from a linear to a circular model in their daily operations. This process implies supplementing the traditional forward logistics with a reverse flow, enabling the reuse, remanufacturing, and recycling of existing products. READ MORE

6. 5. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : John Moberg; Jonathan Widén; [2023]
   Keywords : Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

   Abstract : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. READ MORE