Daniel Dopazo's Outputs (5)

An automated machine learning approach for classifying infrastructure cost data (2023)
Journal Article

Data on infrastructure project costs are often unstructured and lack consistency. To enable costs to be compared within and between organizations, large amounts of data must be classified to a common standard, typically a manual process. This is time... Read More about An automated machine learning approach for classifying infrastructure cost data.

Assessing movement quality on straight leg raise using neural networks and data science (2022)
Journal Article

Wearable sensors used to measure position/orientation and acceleration during exercise for knee and hip osteoarthritis have the potential to enhance physiotherapy rehabilitation through the personalisation of exercise. This data can be used to monito... Read More about Assessing movement quality on straight leg raise using neural networks and data science.

An automatic methodology for the quality enhancement of requirements using genetic algorithms (2021)
Journal Article

Context: The set of requirements for any project offers common ground where the client and the company agree on the most important features and limitations of the project. Having a set of requirements of the highest possible quality is of enormous im... Read More about An automatic methodology for the quality enhancement of requirements using genetic algorithms.

A leakage detection system with an efficient prioritization at a district meter area level (2021)
Presentation / Conference Contribution

The leak repair process is one of the costliest operations for the water supply companies due to the amount of water lost, the customer inconvenience, and the further damages made to the infrastructure. To tackle this problem, a new approach is prese... Read More about A leakage detection system with an efficient prioritization at a district meter area level.

A leakage detection system extracting the most meaningful features with decision trees (2020)
Presentation / Conference Contribution

To learn from experience and to unleash the creativity, a novelty approach has been proposed with the main aim of detecting the different leakages of a fictitious L-town, containing a total of thirty three different pressure sensors in the whole infr... Read More about A leakage detection system extracting the most meaningful features with decision trees.