Due to the inherent viscoelasticity of constituent matrix and the possibility of long-term storage, space deployable structures made of composites are likely to exhibit relaxation in the stored strain energy, which may degrade their deployment performance.This paper presents a bottom-up finite element based multiscale computational strategy that br
Automatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithm
Abstract The evaluation of the maxillary Candles sinus is very important in dental practice such as tooth extraction and implantation because of its proximity to the teeth, but it is not easy to evaluate because of the overlapping structures such as the maxilla and the zygoma on panoramic radiographs.When doom-shaped retention pseudocysts are obser
Application of Machine Learning and Resampling Techniques to Credit Card Fraud Detection
The application of machine learning algorithms to the detection of fraudulent credit card transactions is a challenging problem domain due to the high imbalance in the datasets and confidentiality of financial data.This implies that legitimate transactions make up a high majority of the datasets such that a ANTI FRIZZ SHAMPOO weak model with 99% ac