Publicaties

This review outlines encouraging and discouraging factors in stimulating the adoption of deep approaches to learning in student-centred learning environments. Both encouraging and discouraging factors can be situated in the context of the learning environment, in students' perceptions of that context and in characteristics of the students themselves. Results show that students in different disciplines differ in the approach to learning they ...

This review outlines encouraging and discouraging factors in stimulating the adoption of deep approaches to learning in student-centred learning environments. Both encouraging and discouraging factors can be situated in the context of the learning environment, in students’ perceptions of that context and in characteristics of the students themselves. Results show that students in different disciplines differ in the approach to learning they ...

The focus of the present paper is on the contribution of the research in the student approaches to learning tradition. Several studies in this field have started from the assumption that students approaches to learning develop towards more deep approaches to learning in higher education. This paper reports on a systematic review of longitudinal research on how students approaches to learning develop during higher education. A total of 43 studies ...

Ocean energy technologies are in their developmental stages, like other renewable energy sources. To be useable in the energy market, most components of wave energy devices require further improvement. Additionally, wave resource characteristics must be evaluated and estimated correctly to assess the wave energy potential in various coastal areas. Multiple algorithms integrated with numerical models have recently been developed and utilized to ...

This paper presents end-to-end learning from spectrum data an umbrella term for new sophisticated wireless signal identification approaches in spectrum monitoring applications based on deep neural networks. End-to-end learning allows to: 1) automatically learn features directly from simple wireless signal representations, without requiring design of hand-crafted expert features like higher order cyclic moments and 2) train wireless signal ...

Speech contains a large amount of useful information, as not only it constitutes one of the main mechanisms of human-to-human communication, but it also provides one of the indispensable modalities in human-computer interaction. In order to accommodate processing and information retrieval from speech, computational speech processing systems convert speech sound waves into one-dimensional discrete time series, i.e., the digital speech recording. ...

Despite the recent developments in deep learning models, their applications in clinical decision-support systems have been very limited. Recent digitalisation of health records, however, has provided a great platform for the assessment of the usability of such techniques in healthcare. As a result, the field is starting to see a growing number of research papers that employ deep learning on electronic health records (EHR) for personalised ...