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CIIA
2009
14 years 11 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
SASO
2009
IEEE
15 years 4 months ago
Controlling Particle Swarm Optimization with Learned Parameters
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...
Kevin Winner, Don Miner, Marie desJardins
SACMAT
2003
ACM
15 years 3 months ago
An approach to engineer and enforce context constraints in an RBAC environment
This paper presents an approach that uses special purpose RBAC constraints to base certain access control decisions on context information. In our approach a context constraint is...
Gustaf Neumann, Mark Strembeck
ICDCSW
2002
IEEE
15 years 2 months ago
TWSAPI: A Generic Teamwork Services Application Programming Interface
One of the problems faced by large, global organizations and enterprises is to effectively enable their employees to collaborate across locations. People need collaborative work s...
Engin Kirda, Gerald Reif, Harald Gall, Pascal Fenk...
UM
2005
Springer
15 years 3 months ago
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
Siriwan Suebnukarn, Peter Haddawy