DYNAMIC ORDER MARKOV MODEL FOR CATEGORICAL SEQUENCE CLUSTERING

Dynamic order Markov model for categorical sequence clustering

Abstract Markov models are extensively used for categorical sequence clustering and classification Shop Service due to their inherent ability to capture complex chronological dependencies hidden in sequential data.Existing Markov models are based on an implicit assumption that the probability of the next state depends on the preceding context/patte

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Power Coordinated Control and Parameter Analysis for Spiral Spring Energy Storage Systems Based on Backstepping Control Under Current Vector Orientation

As a new and great source of potential Flowers energy storage technology, the spiral spring energy storage (SSES) technology uses a permanent magnet synchronous machine (PMSM) to tighten or release the spiral spring for energy conversion.In allusion to the feature of simultaneous variations in torque and inertia for spiral springs in operation, it

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A study on the combined effects of variable viscosity and thermal conductivity on forced convection in bidisperse porous medium

This research focuses on exploring the flow and temperature distribution of forced convection in a channel of horizontally placed parallel plate under the existence of a bidisperse porous medium (BDPM) emphasizing the consequences of viscous dissipation.The temperature-dependent thermal conductivity and viscosity are considered while maintaining th

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