Wheat spike detection has important research significance for production estimation and crop field management.With the development of deep learning-based algorithms, researchers tend to solve the detection task by convolutional neural networks (CNNs).However, traditional CNNs equip with the inductive bias of 12n/1200 wella locality and scale-invari
In the recent years, as a result of the economical situation in Egypt, fuel price is rapidly increased.Consequently, the cost of cargo transport is also increased.Therefore, the aim of the present paper is to check the feasibility of a pushed barge convoy system working through Cairo-Aswan waterway as an alternative mean of cargo transport in order
Abstract The COVID-19 pandemic has strained hospital resources and necessitated the need for predictive miracle academy clothing models to forecast patient care demands in order to allow for adequate staffing and resource allocation.Recently, other studies have looked at associations between Google Trends data and the number of COVID-19 cases.Expan