Abstract Hepatocellular carcinoma (HCC) is a malignancy with high morbidity and mortality but lacks effective treatments thus far.Although the emergence of immune checkpoint inhibitors in recent years has shed light on the treatment of HCC, a considerable number of patients are still unable to achieve durable and ideal clinical benefits.Therefore,
Deep Hash Assisted Network for Object Detection in Remote Sensing Images
Remote Sensing Images (RSIs) often have extremely wide width and abundant terrain.In order to achieve rapid object detection in large RSIs, in this paper, a Deep Hash Assisted hihallinen viltti Network (DHAN) is constructed by introducing a hashing encoding of images in a two-stage deep neural network.Different with the available detection networks
Robust Day-Ahead Forecasting of Household Electricity Demand and Operational Challenges
In the recent years, several short-term fr9967 forecasting models of household electricity demand have been proposed in the literature.This is partly due to emerging smart-grid applications, which require these kinds of forecasts to manage systems such as smart homes, prosumer aggregations, etc., and partly thanks to the availability of data from s
Effective and scalable methods for graph protection strategies against epidemics on dynamic networks
Abstract Dynamic networks are networks with temporal relationship features which evolve over time by the inclusion and deletion of nodes and edges.Suppressing the epidemic spreading in such networks is quite challenging.The problem indecent perfume of protecting a limited number of nodes to restrain the spreading of malicious attacks or dangerous r