Search Results - conventional neural network-autoencoder ((architecture OR architecture) OR architektur)~

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer by Nayak, Deepak Ranjan, Dash, Ratnakar, Majhi, Banshidhar, Pachori, Ram Bilas, Zhang, Yudong

“… Almost all existing methods are designed using conventional machine…”
Get full text

Deep convolutional autoencoders for the time–space reconstruction of liquid rocket engine flames by Zapata Usandivaras, José F., Bauerheim, Michael, Cuenot, Bénédicte, Urbano, Annafederica

“… These methods promise to deliver where conventional linear techniques, such as Proper Orthogonal Decomposition (POD…”
Get full text

Functional autoencoder for smoothing and representation learning by Wu, Sidi, Beaulac, Cédric, Cao, Jiguo

“… representations may not be sufficient. In this study, we propose to learn the nonlinear representations of functional data using neural network autoencoders designed to process data in the form it is usually collected without the need of preprocessing…”
Get full text

再帰型オートエンコーダを用いた振動データによる工場設備の故障予測手法の提案 by 速水, 悟, 井指, 諒亮, 古川, 輝, 内藤, 孝昌, 朝日, 翔太, 松井, 彩華, 田村, 哲嗣

Get full text

Proposal of failure prediction method of factory equipment by vibration data with Recurrent Autoencoder by TAMURA, Satoshi, HAYAMIZU, Satoru, ISASHI, Ryosuke, NAITOU, Takayoshi, MATSUI, Ayaka, FURUKAWA, Akira, ASAHI, Shota

“…In this paper, we propose a method to predict the failure of factory equipment by machine learning architectures using vibration data…”
Get full text

Proposal of failure prediction method of factory equipment by vibration data with Recurrent Autoencoder by TAMURA, Satoshi, HAYAMIZU, Satoru, ISASHI, Ryosuke, NAITOU, Takayoshi, MATSUI, Ayaka, FURUKAWA, Akira, ASAHI, Shota

“…In this paper, we propose a method to predict the failure of factory equipment by machine learning architectures using vibration data…”
Get full text

Optimized intrusion detection in IoT and fog computing using ensemble learning and advanced feature selection by Tawfik, Mohammed

“…The proliferation of Internet of Things (IoT) devices and fog computing architectures has introduced major security and cyber threats…”
Get full text

Functional Autoencoder for Smoothing and Representation Learning by Wu, Sidi, Beaulac, Cédric, Cao, Jiguo

“… representations may not be sufficient. In this study, we propose to learn the nonlinear representations of functional data using neural network autoencoders designed to process data in the form it is usually collected without the need of preprocessing…”
Get full text