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Titlebook: Context-Aware Systems and Applications; First International Phan Cong Vinh,Nguyen Manh Hung,Junichi Suzuki Conference proceedings 2013 ICS

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楼主: gingerly
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https://doi.org/10.1007/978-3-031-15305-1ture extraction techniques for the system while the classifier employed is k.Nearest Neighbor (K.NN). Database from AmphibiaWeb has been used to evaluate the system performances. Experimental results showed that system performances of 98.1% and 93.1% have been achieved for MFCC and LPC techniques, respectively.
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Filippo Casadei,Maria Chiara Montif a condensed and explicit symbolic representation of the world. This representation is cleaned from the overwhelming information that is non-relevant to the context and thus, it provides for efficient models of situations to reason about.
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3D Interaction Assistance in Virtual Reality: A Semantic Reasoning Engine for Context-Awarenessirtual Environments, which proposes a hybrid solution by adding a separate semantic reasoning to classic environments. The first experiment automatically manages few modalities depending on the distance to objects, user movement, available tools, etc. Gestures are used both as an engine direct control and as an interpretation of user activity.
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The Requirements to Enhance the Design of Context-Aware Mobile Patient Monitoring Systems Using Wireces of context information as well as the context reasoning approaches that are required to be addressed in designing and developing such systems. The results are expected to help researchers to enhance the design and facilitate the development of CMPMS.
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A Spatio-temporal Surveillance Approach for Business Activity Monitorings for indoor and outdoor areas. Outputs are presented using an advanced Graphical-User Interface, addressing a collaborative environment for airport stakeholders to manage ground handling operational procedures more efficiently and in compliance with airport business rules.
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Efficient Reasoning with Ambient Trees for Space Explorationf a condensed and explicit symbolic representation of the world. This representation is cleaned from the overwhelming information that is non-relevant to the context and thus, it provides for efficient models of situations to reason about.
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