There are increasing applications of natural language processing techniques for information retrieval, indexing, topic modelling and text classification in engineering contexts.A standard component of such Car Window Nets tasks is the removal of stopwords, which are uninformative components of the data.While researchers use readily available stopwo
In this study, we introduce two innovative hybrid models designed for predicting individual pharmacy costs: the Autoencoder-Gated Recurrent Unit (Auto-GRU) and the GoogLeNet-Residual Network (GR-Net).Utilizing data from high utilizers obtained through the Medicaid rebate program, these models aim to provide accurate predictions of total pharmacy co
This review provides a concise outline of the advances made in the care of patients and to the quality of life after a traumatic spinal cord injury (SCI) over the last century.Despite these improvements reversal of the neurological injury is not yet possible.Instead, current treatment is limited to providing symptomatic relief, Car Window Nets avoi
BackgroundGiven the relatively high rates of suicidal ideation and attempt among people with chronic pain, there is a need to understand the underlying factors to target suicide prevention efforts.To date, no study has examined the association between pain phenotypes and suicide related behaviors among those with mild traumatic brain injuries.Objec
Recently, the revival of the semantic similarity concept has been featured by Car Window Nets the rapidly growing artificial intelligence research fueled by advanced deep learning architectures enabling machine intelligence using multimodal data.Thus, semantic similarity in multimodal data has gained substantial attention among researchers.However,