Consistency issues limit the sharing of horticultural data across multiple systems, resulting in challenges for users to analyze data effectively across various systems utilizing artificial intelligence technology. Introducing data governance principles can help standardize and unify data practices, …

This thesis focuses on optimising the emptying process of water storage facilities in urban areas, and was conducted during my graduate internship at Waterfeit Adviseurs. The study is based on the need to improve the efficiency of the system, as current systems frequently lead to floods and ineffective …

This Justification Logfile examines two problems currently occurring within the HR (referred to as Human Resources) Workbuddies team, in the company Coolblue. Firstly, the HR Workbuddies team wants advice on how to manage HR system transitions, because they currently have the problem of a lack of involvement, …

The American company Amazon has made headlines several times for monitoring its workers in warehouses across Europe and beyond.1 What is new is that a national data protection authority has recently issued a substantial fine of €32 million to the e-commerce giant for breaching several provisions of the …

This paper presents the preliminary design of the Horti-database, a digital tool supporting the development of drone-based monitoring systems (DBMS) for greenhouse crops. With increasing demand for sustainable food production and reduced pesticide use, DBMS offers a promising solution for automated, …

Saturated hydraulic conductivity (Ks) of the filler layer in grassed swales are varying in the changing environment. In most of the hydrological models, Ks is assumed as constant or decrease with a clogging factor. However, the Ks measured on site cannot be the input of the hydrological model directly. …

This research investigates the integration of stakeholders' values into the digital frameworks of Collective Management Organizations (CMOs) within the Dutch music copyright system. Utilizing Q methodology, the study captures diverse perspectives from composers, lyricists, publishers, and CMO representatives …

Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

The aim of this business case is to provide a comprehensive analysis and strategic guide focusing on refining the existing candidate sharing and management processes to enhance efficiency and effectiveness in the recruitment operations. Page Personnel Utrecht, as a leader in the recruitment industry, …

Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational …