DEME Group, a leader in offshore energy and marine infrastructure, seeks to enhance the efficiency and accuracy of cable burial operations for offshore wind farms through the development of a user-friendly trencher mobility model. This research addresses the limitations of existing models and provides …

This thesis aimed to understand how Tensar’s current design methods work, in relation to the calculation of working platforms. Thereafter, a full breakdown of each design method’s limitations was addressed, with this thesis focusing on the problem of stratification, in the T-value method. This limitation …

Back in 2013 Maxxton started using Cloudinary as the Content Delivery Network (CDN) for images on websites of their clients. Over time Cloudinary expanded into a large company with over three hundred employees. They introduced many new features that were irrelevant to Maxxton, while they increased costs …

How can CarCollect develop a scalable and modular internal management system tailored to its employees, prioritizing effective management and optimization of operational aspects? The initial focus of the system is to integrate an employee engagement survey system, 2DAYSMOOD, with potential expansion …

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedures to fine-tune electrical properties in lead-free (1-x) Na0.5 …

Severe mental illness (SMI) imposes a significant burden on individuals, resulting in long-lasting symptoms, lower social functioning and impaired physical health. Physical activity (PA) interventions can improve both mental and physical health and care workers can serve as healthy role models. Yet, …

This study introduces a detailed method for analyzing the buckling behavior of laminated composite structures strengthened with multi-walled carbon nanotubes (MWCNTs). We propose a multi-scale analysis that combines analytical and computational techniques to assess the mechanical performance of MWCNT-reinforced …

The Dutch food and agricultural market has been focusing on producing efficiently and effectively with the aim of cost minimization and profit maximizing. In addition to positive developments (higher efficiency and more effective production), this market system has created negative impact for nature, …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes …