The detection of tomatoes is of vital importance for enhancing production efficiency, with image recognition-based tomato detection methods being the primary approach.However, these methods face challenges such as the difficulty in extracting small targets, low detection accuracy, and slow processing speeds.Therefore, this paper proposes an improve
ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection.The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFrom June 2009 to December 2019, 78 patients diagnosed with pathologically confirmed NFMAs, and who had
There is a large and troubling gap between the promise of deliberative innovations and the most prevalent practices of our largely dysfunctional democracy.A web of factors is widening this gap and increasing the urgency of addressing it.With democracy in crisis, the deliberative civic field is engaging in more collaborative efforts and in more poin
The role of multipolar uncertain statistics cannot be unheeded while confronting daily life problems on well-founded basis.Fusion (aggregation) of a number of input values in multipolar form into a sole multipolar output value is an essential tool not merely of physics or mathematics but also of widely held problems of economics, commerce and trade