Essays about: "Data-driven"

Showing result 1 - 5 of 591 essays containing the word Data-driven.

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. Comparison between CRUD and CQRS in an event driven system

   University essay from KTH/Hälsoinformatik och logistik

   Author : Rasmus Jansson; [2024]
   Keywords : CQRS; CRUD; Event Driven Architecture; Event Sourcing; EventStoreDB; Kafka; CQRS; CRUD; Händelsedriven Arkitektur; Händelsekällor; EventStoreDB; Kafka;

   Abstract : In todays digitalised society, effective solutions to manage huge amount of data is needed. An established design pattern that are used in many systems are CRUD. To handle data in events have become more popular over the years, but CRUD is not optimised for it. A possible replacement is CQRS, it is designed with events in mind. READ MORE

4. 3. 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

5. 4. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

   University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Author : Azin Farzam; [2024]
   Keywords : Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

   Abstract : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. READ MORE

6. 5. 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