Helen tillias Anderson

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To assess the ability of traditional biological recording schemes and lay citizen science approaches to gather data on species distributions and changes therein, we examined bumblebee records from the UK's national repository (National Biodiversity Network) and from BeeWatch. The two recording approaches revealed similar relative abundances of bumblebee(More)
The authors report the results of a project to reemphasize high quality, hands-on laboratory courses in the engineering curriculum while reducing their costs through the application of web-based teaching tools. The project resulted in substantial gains in productivity of faculty and staff, increased utilization of laboratory space, cost reductions in(More)
An important objective in computer vision research is the automatic understanding of aerial photographs of urban and suburban locations. Several systems have been developed to begin to recognize man-made objects in these scenes. A brief review of these systems is presented. This paper introduces the Pennsylvania Landscan recognition system. It is performing(More)
Acknowledgements We would like to thank Professor Helén Anderson and Professor emeritus Clas Wahlbin for their guidance and support during the process of writing this thesis. You have been very helpful! We also like to thank SCA for giving us the opportunity to write this thesis together with them, where special thanks goes to SCA employees Karsten Wijk and(More)
The opinions and views expressed in this paper are those of the author(s) and not necessarily those of AUT of the General Editor or Review Panel of Enterprise and Innovation. Helen has completed a Bachelor of Business (1st Class Honours) with AUT's Faculty of Business. She gained provisional admission to the Faculty's PhD programme in 2004. Her research(More)
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