Monitoring Dairy Cow Behaviour with Video and AI
Previous research clearly showed the potential of video analysis and machine learning to study dairy cow behaviour. However, no long term study with the aim of collecting and analysing be...
Research
Scientific Focus Areas
Biovism develops computer vision, knowledge-guided machine learning, and hybrid modelling methods for extracting reliable information from images, video, text, and sensor data in life-science applications.
Animal Sciences
Computer Vision
Expert Knowledge in Agricultural Time Series Analytics
The development of advanced analytics for monitoring and decision support is essential in the context of automation and (sensor) technology. Oftentimes, these analytics serve to extract i...
Computer Vision for Caged-Animal Behaviour Detection
The study of animal behaviour allow scientists to perceive the individual and social patterns. Although it is a rapidly growing area of study, the traditional approaches still predominate...
Biological Sciences
Knowledge-Guided Machine Learning
Hybrid Modelling for ATMP Manufacturing
Advanced Therapy Medicinal Products (ATMPs) will revolutionize 21st century medicine, as evidenced by several major scientific and clinical breakthroughs in the past decade. By using cell...
Surrogate Models for CFD Bio-processes
Mathematical modeling of pharmaceutical processes helps scientist to design efficient and high quality production processes. Physics-based models are typically time-consuming to perform, ...
Mathematical Optimization of Tablet Formulations
During development of new drug products, both the formulation and production process need to be optimized to achieve robust performance and deliver a final drug product that meets a serie...
Hybrid Modelling of Surface Water Systems
Hybrid modelling of surface water systems using online sensor data is a technique used to model the behavior of surface water systems, such as rivers, lakes, and reservoirs, using real-ti...
Hybrid Modelling of Wastewater Treatment Processes
Hybrid modelling is a solution to bring forth the advantages of both mechanistic and data-driven models. The application of hybrid modelling in the domain of wastewater treatment has the ...
