Prediction of influencing atmospheric conditions for explosion Avoidance in fireworks manufacturing Industry-A network approach.
Sign Up to like & getrecommendations! Published in 2022 at "Environmental pollution"
DOI: 10.1016/j.envpol.2022.119182
Abstract: This research study uses Artificial Neural Networks (ANNs) to predict occupational accidents in Sivakasi firework industries. Atmospheric temperature, pressure and humidity are the causes of explosion during chemical mixing, drying, and pellet making. The Proposed… read more here.
Keywords: hidden layers; atmospheric conditions; prediction; model ... See more keywords
Sex estimation using sternum part lenghts by means of artificial neural networks.
Sign Up to like & getrecommendations! Published in 2019 at "Forensic science international"
DOI: 10.1016/j.forsciint.2019.05.011
Abstract: In addition to the pelvis, cranium and phalanges, the sternum is also used for postmortem sex identification. Bone measurements may be obtained on cadaveric bones. Alternatively, computerized tomography may be used to obtain measurements close… read more here.
Keywords: neural networks; artificial neural; xpl; estimation ... See more keywords
Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2948202
Abstract: Process monitoring based on deep learning has attracted considerable attention. Generally, several hidden layers exist in the deep-learning model, and only the output information of the last hidden layer neurons extracted by deep learning is… read more here.
Keywords: process monitoring; process; output; hidden layers ... See more keywords