CLASSIFICATION OF INCOMPLETE DATA BASED ON EVIDENCE THEORY AND AN EXTREME LEARNING MACHINE IN WIRELESS SENSOR NETWORKS

Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks

In wireless sensor networks, the classification of incomplete data reported by sensor nodes is an open issue because it is difficult to accurately estimate the missing values.In many essie pink glove cases, the misclassification is unacceptable considering that it probably brings catastrophic damages to the data users.In this paper, a novel classif

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Effect of salvage-logging on post-fire tree establishment and ground cover vegetation in semi-natural hemiboreal forests

Fire is a common disturbance in boreal forests causing changes in biological diversity at various spatial scales.In the past 100 years, forest management has limited fire outbreaks, but in the future, the fire-affected forest area is expected to increase in many regions due to climate change.Burned forests are typically salvage-logged, but the effe

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