To accommodate the demands of a data-driven society, we have expanded our ability to collect and store data, develop sophisticated algorithms, generate elaborated visual representations data analysis process outcomes. However, preprocessing, as activity transforming raw into an appropriate format for subsequent analysis, is still challenging part this process. Although can find studies that add...

since vehicle collision coverage, unlike what it seems, is not very profitable for insurance companies and is moving towards making losses, this paper considered the adequacy of measures and rates used by insurance companies, and intended to optimize the methods by employing more scientific approaches. in order to do so, first, the factors affecting the risk of policy holders were identified an...

This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. We propose a prediction model that effectively learns from small dataset imbalanced in terms of class. In order to overcome imbalance problem, our performs hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest nei...

Text preprocessing is an important and necessary task for all NLP applications. A simple variation in any preprocessing step may drastically affect the final results. Moreover replicability and comparability, as much as feasible, is one of the goals of our scientific enterprise, thus building systems that can ensure the consistency in our various pipelines would contribute significantly to our ...

In this paper we study the influence of semantics in the information retrieval preprocessing. We concretely compare the reached performance with stemming and semantic lemmatization as preprocessing. Three techniques are used in the study: the direct use of a weighted matrix, the SVD technique in the LSI model and the bisecting spherical k-means clustering technique. Although the results seem no...

PURPOSE To evaluate reasons for non-compliance with post-cataract surgical follow-up in rural China, and assess the impact of incentives on improving compliance. METHODS Patients having undergone cataract surgery more than 3 months previously at cataract surgery training hospitals in Guangdong were invited by telephone and advertisements to a hospital-based study examination, with compensatio...