Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.114159
Abstract: Combustion instability is a well-known problem in the combustion processes and closely linked to lower combustion efficiency and higher pollutant emissions. Therefore, it is important to monitor combustion stability for optimizing efficiency and maintaining furnace… read more here.
Keywords: stacked sparse; combustion stability; combustion; sparse autoencoder ... See more keywords
Vision-Based Lane Departure Detection Using a Stacked Sparse Autoencoder
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/9837359
Abstract: This paper presents a lane departure detection approach that utilizes a stacked sparse autoencoder (SSAE) for vehicles driving on motorways or similar roads. Image preprocessing techniques are successfully executed in the initialization procedure to obtain… read more here.
Keywords: stacked sparse; lane departure; detection; departure detection ... See more keywords
Detection of preterm birth in electrohysterogram signals based on wavelet transform and stacked sparse autoencoder
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0214712
Abstract: Based on electrohysterogram, this paper designed a new method using wavelet-based nonlinear features and stacked sparse autoencoder for preterm birth detection. For each sample, three level wavelet decomposition of a time series was performed. Approximation… read more here.
Keywords: wavelet; stacked sparse; preterm birth; sparse autoencoder ... See more keywords
Stacked Sparse Autoencoder and Softmax Classifier Framework to Classify MRI of Brain Tumor Images
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2020.0630.25
Abstract: Classification of a brain tumor is a critical step in the design of computer-aided diagnosis systems for Magnetic Resonance Image (MRI) analysis. This work presents an efficient algorithm to classify a tumor in brain MRI… read more here.
Keywords: stacked sparse; brain tumor; regularization; mri ... See more keywords
Stacked sparse autoencoders for EMG-based classification of hand motions: A comparative multi day analyses between surface and intramuscular EMG
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8071126
Abstract: Advances in myoelectric interfaces have increased the use of wearable prosthetics including robotic arms. Although promising results have been achieved with pattern recognition-based control schemes, control robustness requires improvement to increase user acceptance of prosthetic… read more here.
Keywords: stacked sparse; emg; ssae; sparse autoencoders ... See more keywords