In dit onderzoek zijn recente ontwikkelingen in Machine Learning (ML) en Deep Learning (DL) met betrekking tot borst-, fibroglandulair (FG)- en tumorweefselsegmentatie in MRI-mammografie in kaart gebracht, de prestaties van deze segmentatiesystemen zijn vergeleken en als laatste worden toekomst toepassingsmogelijkheden …

Malvern Panalytical is the manufacturer of diffractometers. Diffractometers are used to measure particle sizes and chemical composition. This project focuses on the sensor chip inside the machine. In the assembly of a machine, chips are tested in three different stages: first when the chips arrive on …

Whitepaper: The use of AI is on the rise in the financial sector. Utilizing machine learning algorithms to make decisions and predictions based on the available data can be highly valuable. AI offers benefits to both financial service providers and its customers by improving service and reducing costs. …

The estimation of the pose of a differential drive mobile robot from noisy odometer, compass and beacon distance measurements is studied. The estimation problem, which is a state estimation problem with unknown input, is reformulated into a state estimation problem with known input and a process noise …

As every new generation of civil aircraft creates more on-wing data and fleets gradually become more connected with the ground, an increased number of opportunities can be identified for more effective Maintenance, Repair and Overhaul (MRO) operations. Data are becoming a valuable asset for aircraft …

Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital …

Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …

The maturing field of Wireless Sensor Networks (WSN) results in long-lived deployments that produce large amounts of sensor data. Lightweight online on-mote processing may improve the usage of their limited resources, such as energy, by transmitting only unexpected sensor data (anomalies). We detect …