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Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
IEEE

A Hybrid Feature-Selection Method Based on mRMR and Binary Peacock Optimization Algorithm

Abstract: An essential aspect of developing effective biomarkers that facilitate disease diagnosis and drug discovery is identifying the most critical characteristics from microarray data. Since it is ...
IEEE

A Novel Dynamic Model Selection Method for VSIMM Filter

Abstract: This paper proposes a novel dynamic model selection method for variable structure interacting multiple model (VSIMM) filter based on Jensen-Shannon (JS) divergence and sojourn-time-dependent ...