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- 39Policy
- 22Alberta
- 20Artificial Intelligence
- 18Canada, Alberta, Fort McMurray
- 18Oil Sands
- 39Sustainable Forest Management Network
- 5Stewart Weir Stewart Watson & Heinrichs
- 4Müller, Martin
- 3Athabasca Tar Sands Corridor Study Group
- 3D'Eon, Rob
- 3Mueller, Martin
- 39Sustainable Forest Management Network
- 39Sustainable Forest Management Network/Research Notes (Sustainable Forest Management Network)
- 22Oil Sands Research and Information Network (OSRIN)
- 18Computing Science, Department of
- 18Computing Science, Department of/Technical Reports (Computing Science)
- 17Oil Sands Research and Information Network (OSRIN)/Government of Alberta Reports
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A practical approach for comparing management strategies in complex forest ecosystems using meta-modelling toolkits
Download2009
Sustainable Forest Management Network
SFM Network Research Note Series No. 56
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1991
Knapik, L., Green, J. E., Wylie, C., Van Egmond, T. D., Paterson, L. R., Jones, I.
This manual - provides information on: • the basics of material extraction and processing, • planning of a pit or quarry operation from start-up to closure, and • selecting the best land use or uses for your reclaimed site, Important considerations in reclamation planning and methods for...
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2010
Lin, Guohui, Shi, Xiaoyu, Hu, Yu, Zeng, Dahua, Zaiane, Osmar
Technical report TR10-04. This paper describes a novel and fast placement algorithm for field programmable gate array (FPGA) design space exploration. The proposed algorithm generates the placement based on the topological similarity between two configurations (netlists) in the design space....
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Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement - Extended Version
Download2010
Nakhost, Hootan, Müller, Martin
Technical report TR10-01. Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become increasingly important. The most recent planning competition IPC-2008 used the cost of the...
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2013
Sturtevant, Nathan R., Valenzano, Richard, Schaeffer, Jonathan
While greedy best-first search (GBFS) is a popular algorithm for solving automated planning tasks, it can exhibit poor performance if the heuristic in use mistakenly identifies a region of the search space as promising. In such cases, the way the algorithm greedily trusts the heuristic can cause...
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2021-07-10
Adams, Cathy, Lemermeyer, Gilllian
The Alberta Teachers’ Association (ATA), the Kule Institute for Advanced Study (KIAS) and the Faculty of Education, University of Alberta engaged in a partnership to organize a research and policy scoping initiative that would report on the expected impact of artificial intelligence (AI) in...
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An environmental study of the Athabasca tar sands: Report and recommendations to Alberta Department of the Environment
Download1973
Intercontinental Engineering of Alberta Ltd.
The following was the general concept of the work for which the Study was commissioned: • Identify the various methods that could be used for oil extraction and their comparative merits with respect to minimum adverse effects on the environment. • In considering the Clark method of tar sands...