Real-time New Zealand sign language translator using convolution neural network

Summary

Real-time New Zealand sign language translator using convolution neural network is a master's thesis^[1].

Key Facts

• Real-time New Zealand sign language translator using convolution neural network's instance of is recorded as master's thesis^[2].
• Real-time New Zealand sign language translator using convolution neural network was published by Waikato Research Commons^[3].
• Real-time New Zealand sign language translator using convolution neural network's place of publication is recorded as Hamilton^[4].
• Real-time New Zealand sign language translator using convolution neural network's language of work or name is recorded as English^[5].
• Real-time New Zealand sign language translator using convolution neural network's country of origin is recorded as New Zealand^[6].
• Real-time New Zealand sign language translator using convolution neural network was released on 2021^[7].
• Real-time New Zealand sign language translator using convolution neural network's main subject is New Zealand Sign Language^[8].
• Real-time New Zealand sign language translator using convolution neural network's main subject is computer vision^[9].
• Real-time New Zealand sign language translator using convolution neural network's main subject is artificial intelligence^[10].
• Real-time New Zealand sign language translator using convolution neural network's main subject is transfer learning^[11].
• Real-time New Zealand sign language translator using convolution neural network's main subject is data processing^[12].
• Real-time New Zealand sign language translator using convolution neural network's main subject is artificial neural network^[13].
• Real-time New Zealand sign language translator using convolution neural network's main subject is machine learning^[14].
• Real-time New Zealand sign language translator using convolution neural network's main subject is sign language^[15].
• Real-time New Zealand sign language translator using convolution neural network's main subject is convolutional neural network^[16].
• Real-time New Zealand sign language translator using convolution neural network's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/14251^[17].
• Real-time New Zealand sign language translator using convolution neural network's title is recorded as Real-time New Zealand sign language translator using convolution neural network^[18].
• Real-time New Zealand sign language translator using convolution neural network's author name string is recorded as Mathes Kankanamge Chami Jayasekera^[19].
• Real-time New Zealand sign language translator using convolution neural network's thesis submitted to is recorded as University of Waikato^[20].
• Real-time New Zealand sign language translator using convolution neural network's on focus list of Wikimedia project is recorded as NZThesisProject^[21].
• Real-time New Zealand sign language translator using convolution neural network's copyright status is recorded as copyrighted^[22].
• Real-time New Zealand sign language translator using convolution neural network's online access status is recorded as open access^[23].
• Real-time New Zealand sign language translator using convolution neural network's thesis committee member is recorded as Chi Kit Au^[24].
• Real-time New Zealand sign language translator using convolution neural network's thesis submitted for degree is recorded as Master of Engineering^[25].

Body

Designation and Status

Real-time New Zealand sign language translator using convolution neural network's instance of is recorded as master's thesis^[2].