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Deepsign: A Deep-Learning Architecture For Sign Language, Jai Amrish Shah
Deepsign: A Deep-Learning Architecture For Sign Language, Jai Amrish Shah
Computer Science and Engineering Theses
Sign languages are used by deaf people for communication. In sign languages, humans use hand gestures, body, facial expressions and movements to convey meaning. Humans can easily learn and understand sign languages, but automatic sign language recognition for machines is a challenging task. Using recent advances in the field of deep-learning, we introduce a fully automated deep-learning architecture for isolated sign language recognition. Our architecture tries to address three problems: 1) Satisfactory accuracy with limited data samples 2) Reducing chances of over-fitting when the data is limited 3) Automating recognition of isolated signs. Our architecture uses deep convolutional encoder-decoder architecture …
Classification Of Clinical Narratives Using Convolutional Neural Network, Nikit Rajiv Lonari
Classification Of Clinical Narratives Using Convolutional Neural Network, Nikit Rajiv Lonari
Computer Science and Engineering Theses
Patient safety is a key aspect for good consumer care. When an individual is hospitalized or receives medication the family wants the patient safety to be above all factors. For instance, a drug can do both either cure the disease or perhaps, give rise to an adverse event. A drug administered for an indicated condition has substantial power to reduce or cure a disease and further to prevent it from happening again in the future but at the risk of side effects. At present, there are several methods in patient safety and in particular in the area of signal detection …