Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification

arXiv:2402.11185v1 Announce Type: new
Abstract: Identifying phases of flight is important in the field of general aviation, as knowing which phase of flight data is collected from aircraft flight data recorders can aid in the more effective detection of safety or hazardous events. General aviation flight data for phase of flight identification is usually per-second data, comes on a large scale, and is class imbalanced. It is expensive to manually label the data and training classification models usually faces class …

abstract aircraft arxiv aviation cs.lg cs.ne data detection events general identification maps safety type