Neural-network-based control of discrete-phase concentration in a gas-particle corner flow with optimal energy consumption
This paper presents a machine learning based model for control of local bioaerosol concentration via a forced corner flow with optimal energy efficiency in an indoor environment. A recirculation zone determined by the inlet flow rate traps particles partially with one or more vortices around the cor...
محفوظ في:
المؤلفون الرئيسيون: | Zhang, Xingyu, Li, Hua |
---|---|
مؤلفون آخرون: | School of Mechanical and Aerospace Engineering |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/160945 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
-
Graph neural differential equation networks for improved representation learning and robustness
بواسطة: Zhao, Kai
منشور في: (2025) -
Data-driven control of discrete-phase concentration in a vortex involved two-phase flow with optimized energy consumption
بواسطة: Zhang, Xingyu
منشور في: (2020) -
EFFICIENT EXTREME CLASSIFICATION WITH LABEL TAXONOMY BASED NEURAL NETWORKS
بواسطة: NICOLAS XAVIER MAURICE
منشور في: (2016) -
Child detection in videos using age estimation and convolutional neural networks
بواسطة: Ricafort, David John
منشور في: (2018) -
Recognizing self-stimulatory behavior using spatio-temporal convolutional neural network
بواسطة: Tan, Edwill Dave Ng
منشور في: (2018)