This study aims at addressing the challenging incremental few-shot object detection (iFSOD) problem toward online adaptive detection.iFSOD targets to learn novel categories in a sequential manner, and eventually, the detection is performed on all learned categories.Moreover, only a few training samples are available for all sequential novel classes
Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning.Although it has great potential and application prospects, when there 36" Cooktop are too many variables, this type of algorithm will not be able to accurately and efficiently provide the optimal solution.In response to this
The field of biomedical engineering highly demands technological improvements to allow the successful engraftment of biomaterials requested for healing damaged host tissues, tissue regeneration, and drug delivery.Polymeric materials, particularly natural polymers, are one of the Seat Cushions primary suitable materials employed and functionalized t
The article considers the issue of increasing the investment attractiveness of agricultural enterprises in terms of the effectiveness of their management system and business reputation.It is proved that in the conditions of digital transformation of the economy, as well as the manifestation of crisis phenomena, in particular, the Covid-19 pandemic,