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Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fusion has been shown as an effective technique for improving system detection performance by enabling efficient collaboration among sensors with limited sensing capability. Due to the high cost of network deployment, it is...
In order to comprehend the advantages and short-comings of each model-building algorithm they should be tested under similar conditions and isolated from the MOEDA it takes part of. In this work we will assess some of the main machine learning algorithms used or suitable for model-building in a controlled environment and under equal conditions. They are analyzed in terms of solution accuracy and computational...
To overcome the disadvantages of the existing task duplication-based algorithms, this paper discusses the scheduling objectives of distributed real-time tasks, presents a novel structure called scheduled cluster tree, and proposes a general optimization method for various task duplication-based algorithms. According to the result of experiments, PSO_I and PSO_II are both general algorithms that improve...
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