Natural disasters and major weather events can have a large impact on fertility treatment in the affected area through unplanned clinic closures Standing Shelves leading to cancelled cycles, severe weather endangering cryopreserved embryos and gametes, and long delays in the resumption of care related to infrastructure damage.The cessation of ferti
Radar networks offer the possibility to overcome the limitations of single sensors.However, without coherent signal processing, the full potential of radar networks cannot be exploited.Therefore, the synchronization of independent radar sensors is crucial in order to mitigate performance degradation due to frequency deviations of uncoupled referenc
Aim: To design an automated glaucoma detection system for early detection of glaucoma using fundus images.Background: Glaucoma is a serious eye problem that can cause vision loss and even permanent blindness.Early detection and prevention are crucial for effective treatment.Traditional diagnostic approaches are time consuming, manual, and often ina
Urbanization and agriculture are two of the most important threats to biodiversity worldwide.The intensities of these land-use phenomena, however, as well as levels of biodiversity itself, differ widely among regions.Thus, there is a need to develop a quick but 832 rigorous method of identifying where high levels of human threats and biodiversity c
In the midst of the ongoing COVID-19 pandemic, there has been a surge in scientific literature body oil aimed at understanding the virus and its impact.However, it has become challenging for a researcher to deal with thousands of articles published daily.This paper proposes a novel deep-learning architecture to organize a large dataset of COVID-19-