Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …

Summary: Xpaths is a collection of algorithms that allow for the prediction of compound-induced molecular mechanisms of action by integrating phenotypic endpoints of different species; and proposes follow-up tests for model organisms to validate these pathway predictions. The Xpaths algorithms are applied …

Recommenders play a significant role in our daily lives, making decisions for users on a regular basis. Their widespread adoption necessitates a thorough examination of how users interact with recommenders and the algorithms that drive them. An important form of interaction in these systems are algorithmic …

Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination …

Laboratory experiments are important pedagogical tools in engineering courses. Restrictions related to the COVID-19 pandemic made it very difficult or impossible for laboratory classes to take place, resulting on a fast transition to simulation as an approach to guarantee the effectiveness of teaching. …

This research is conducted within the company context of Grosso Moda to investigate how the accuracy of digital garment simulation of suiting styles can be improved so that the product development process can replace physical samples with digital ones to improve efficiency while reducing time and costs. Suiting …

While modern wind turbines have become by far the largest rotating machines on Earth with further upscaling planned for the future, a renewed interest in small wind turbines (SWTs) is fostering energy transition and smart grid development. Small machines have traditionally not received the same level …

Multiple blood images of stressed and sheared cells, taken by a Lorrca Ektacytometery microscope, needed a classification for biomedical researchers to assess several treatment options for blood-related diseases. The study proposes the design of a model capable of classifying these images, with high …

Across Europe, Jewish museums are housed in former synagogues, representing Jewish religious life through exhibits of ceremonial collections. Besides the absences of active communities of users and liturgical practices, the multi-layered meaning of these spaces and objects contribute to these narrative …

In today’s economy digitalization is a necessary condition for SMEs. Following recent developments, such as the emergence of industry 4.0 and Data Driven Logistics, SMEs gained great potential to enhance their business models. They are forced to do so, as major companies, such as Amazon and Unilever, …