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We propose a knowledge reuse system (KRS) based on two approaches.
In this paper we propose a Knowledge Trace Retrieval (KTR) system.
In this paper, we propose a knowledge engineering approach (KMKE) to knowledge management.
Specifically, we propose a knowledge resource space model to represent heterogeneous knowledge resources, both explicit and implicit.
We propose a knowledge management framework to unify and guide research efforts in direct support of the DOD Energy Strategy.
We propose a knowledge collection and transfer model grounded on the Value Analysis technique, empirically developed and validated through an action research in the shipbuilding industry.
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In this paper, we propose a knowledge-based component library for computer vision tasks such as video surveillance applications.
In this paper, we propose a knowledge-based evolutionary approach with the aim of assisting to project managers at the early stage of scheduling software projects.
For this reason, in this paper we propose a knowledge-based hybrid architecture for designing expert systems that are able to support experiment management.
To surmount these challenges, we propose a knowledge-based admission control along with scheduling algorithms for SaaS providers to effectively utilize public Cloud resources in order to maximize profit by minimizing cost and improving customers' satisfaction level.
In this paper, we propose a knowledge-based, bottom-up production approach based on a service-oriented view of loose coupled automation facilities offering their capabilities to an intelligent product that autonomously controls its production process in order to meet the upcoming flexibility and changeability requirements.
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