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Showing result 1 - 5 of 215 essays matching the above criteria.

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

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Nikolaos Staikos; [2024]
   Keywords : 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;

   Abstract : 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. READ MORE

3. 2. 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

4. 3. Audio Anomaly Detection in Cars

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

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

   Abstract : 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. READ MORE

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

   University essay from Göteborgs universitet/Graduate School

   Author : Athanasios Simoudis; [2023-08-10]
   Keywords : ;

   Abstract : 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. READ MORE

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

   University essay from Göteborgs universitet/Graduate School

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

   Abstract : 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. READ MORE