LEARNING AND FORGETTING USING REINFORCED BAYESIAN CHANGE DETECTION.



MODELLING EVACUATION STRATEGIES UNDER DYNAMIC CONDITIONS DUE TO OBSTACLE LOCATIONS BASED ON A SEMANTIC 3D BUILDING MODELS

The evacuation path from inside a building to safe point outside becomes highly unpredictable due to changes in the local geometry or presence of obstacles during a disaster like a fire.During emergencies, Evacuees need appropriate information and hence prediction of an unobstructed path, as it emerges, needs to be computed well.Understanding the e

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A Novel Arc Fault Detector for Early Detection of Electrical Fires

Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes footjoy weste herren of electrical fires.The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of elec

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