STUDY ON MUTUAL INFORMATION AND FRACTAL DIMENSION-BASED UNSUPERVISED FEATURE PARAMETERS SELECTION: APPLICATION IN UAVS

Study on Mutual Information and Fractal Dimension-Based Unsupervised Feature Parameters Selection: Application in UAVs

In this study, due to the redundant and irrelevant features contained in the multi-dimensional feature parameter set, the information fusion performance of the subspace learning algorithm was reduced.To solve the above problem, a wella color charm 050 cooling violet mutual information (MI) and fractal dimension-based unsupervised feature parameters

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Grouped Multilayer Practical Byzantine Fault Tolerance Algorithm: A Practical Byzantine Fault Tolerance Consensus Algorithm Optimized for Digital Asset Trading Scenarios

Based on the practical Byzantine fault tolerance algorithm (PBFT), a grouped multilayer PBFT consensus algorithm (GM-PBFT) is proposed to be applied to digital asset transactions in view of the problems with excessive communication complexity and low consensus efficiency found in the current consensus mechanism for digital asset transactions.Firstl

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Setting of methods for analysis of mucosal antibodies in seminal and vaginal fluids of HIV seropositive subjects from Cambodian and Italian cohorts.

BackgroundGenital mucosae play a key role in protection from STD and HIV infection, due to their involvement in both horizontal and vertical disease transmission.High variability of published observations concerning IgA isolation and quantification underlies the strong requirement of specific methods able to maximize investigation on sheepshead bay

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