The precedence of behavior bias-based studies with respect to investment is quite prevalent.Hence, a bibliometric analysis of available literature may lead to fresh topics in association with overconfidence bias.The literature ranging between 1970 and 2024 were scanned using terms related to overconfidence in finance as keywords to reach the relate
Abstract Background Conventional clinical tools for assessing upper limb motor function often lack the sensitivity and specificity needed to detect subtle changes in motor performance and may be subject to bias.Kinematic assessment offers a potential solution by providing objective, precise, and detailed data on movement quality.However, it is typi
Cervical cancer diagnosis hinges significantly on precise nuclei segmentation at early stages, which however, remains largely elusive due to challenges such as overlapping cells and blurred nuclei boundaries.This paper 15-1 shampoo presents a novel deep neural network (DNN), the Global Context UNet (GC-UNet), designed to adeptly handle intricate en
This paper presents a new method for regression model prediction in an uncertain environment.In practical engineering problems, in order to develop regression or ANN model for making predictions, the average of set of repeated observed values are introduced to the model as an input variable.Therefore, the estimated response of the process is also t