Sökning: "support metrics"

Visar resultat 1 - 5 av 235 uppsatser innehållade orden support metrics.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Alexander Florean; [2024]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

4. 3. Audio Anomaly Detection in Cars

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Asma Hussein; [2023-09-11]
   Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

   Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

5. 4. The financial performance differences between ESG and Non-ESG Firms in the Nordic Region – A quantitative analysis

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Athanasios Simoudis; [2023-08-10]
   Nyckelord :;

   Sammanfattning : This thesis presents a rigorous empirical analysis on the relationship between financial performance and ESG scores in Nordic firms from 2017 to 2022. The analysis utilizes fixed effects regression methods with cluster-robust standard errors at the company level. LÄS MER

7. 5. Measurement of Business Incubator Performance by Governments: Studying the Practices in the Nordic Region

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Firuza Alizada; [2023-07-19]
   Nyckelord :business incubators; incubator financing; return on investment; public business incubators; government-supported business incubators; evaluation of incubation policy;

   Sammanfattning : This master thesis aims to investigate the measurement of business incubator performance by governments. Business incubators play a vital role in nurturing startups, promoting innovation, and fostering economic development. LÄS MER