Latest Breaking News On - Data preprocessing - Page 1 : comparemela.com

Infants portray suggestive unique cries while sick, having belly pain, discomfort, tiredness, attention and desire for a change of diapers among other needs. There exists limited knowledge in accessing the infants’ needs as they only relay information through suggestive cries. Many teenagers tend to give birth at an early age, thereby exposing them to be the key monitors of their own babies. They tend not to have sufficient skills in monitoring the infant’s dire needs, more so during the early stages of infant development. Artificial intelligence has shown promising efficient predictive analytics from supervised, and unsupervised to reinforcement learning models. This study, therefore, seeks to develop an android app that could be used to discriminate the infant audio cries by leveraging the strength of convolution neural networks as a classifier model. Audio analytics from many kinds of literature is an untapped area by researchers as it’s attributed to messy and huge

Google gpusConvolution neural networksSummary of research gapsConvolutional neural network model trainingReservoir networkConvolution neural network deep learning modelArtificial neural networkRandom forestSupport vector machineMulti layer perceptronResearch gapsData preprocessingChild maltreatGraphic processing unitScale augmentationNeural network deep learning