HIDDEN MARKOV MODEL BASED P2P FLOW IDENTIFICATION TECHNIQUE

Hidden Markov model based P2P flow identification technique

To identify various P2P flows accurately in real-time,a hidden Markov model(HMM)based P2P flow identification technique was proposed.This approach made use of packet size,inter-arrival time and arrival order to construct flow identification model,in which discrete random variable was used to depict the characteristics of HMM state.A framework calle

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Locomotory behaviour of early tetrapods from Blue Beach, Nova Scotia, revealed by novel microanatomical analysis

Evidence for terrestriality in early tetrapods invacare rollator 65650 parts is fundamentally contradictory.Fossil trackways attributed to early terrestrial tetrapods long predate the first body fossils from the Late Devonian.However, the Devonian body fossils demonstrate an obligatorily aquatic lifestyle.Complicating our understanding of the trans

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HLoOP—Hyperbolic 2-Space Local Outlier Probabilities

Hyperbolic t5 dermatome geometry has recently garnered considerable attention in machine learning due to its ability to embed hierarchical graph structures with low distortions for further downstream processing.This paper introduces a simple framework to detect local outliers for datasets grounded in hyperbolic 2-space, which is referred to as Hype

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