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JST |
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Chaired by Sanghong Kim (Tokyo University of Agriculture and Technology) |
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10:35
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10:55 |
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Proceeding #: 264
Tensor-Based Autoencoder Models for Hyperspectral Produce Data
Charlotte Cronjaeger, Richard Pattison and Calvin Tsay
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10:55
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11:15 |
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Proceeding #: 265
Molecular Representations in Deep-Learning Models for Chemical Property Prediction
Adem Rosenkvist Nielsen Aouichaoui, Fan Fan, Seyed Soheil Mansouri, Jens Abildskov and Gürkan Sin
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11:15
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11:35 |
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Proceeding #: 266
Deep Reinforcement Learning for Continuous Process Scheduling with Storage, Day-Ahead Pricing and Demand Uncertainty
Gustavo Campos, Simge Yildiz, Ahmet Palazoglu and Nael El-Farra
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| | | | Break |
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11:40
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12:00 |
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Proceeding #: 267
Convolutinoal Neural Network Based Detection and Measurement for Microfluidic Droplets
Shuyuan Zhang, Xinye Huang, Kai Wang and Tong Qiu
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12:00
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12:20 |
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Proceeding #: 268
Deep Reinforcement Learning Based Controller for Modified Claus Process
Jialin Liu, Bing-Yen Tsai and Ding-Sou Chen
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12:20
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12:40 |
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Proceeding #: 269
Process performance prediction based on spatial and temporal feature extraction through bidirectional LSTM
Xie Changrui, Chen Xi, Yao Runjie, Liu Zhengbang and Zhu Lingyu
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12:40
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13:00 |
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Proceeding #: 270
Exploring the potential of fully convolutional neural networks for FDD of a chemical process
Ana Cláudia O. Souza, Flávio V. Silva and Maurício B. Souza Jr.
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JST: Japan Standard Time (UTC+9).
Time with asterisk* indicates the time of the date one day before.
Time with double dagger‡ indicates the time of the date one day after.
