Point 4d transformer networks for spatio-temporal modeling in point cloud videos
Point cloud videos exhibit irregularities and lack of order along the spatial dimension where
points emerge inconsistently across different frames. To capture the dynamics in point cloud …
points emerge inconsistently across different frames. To capture the dynamics in point cloud …
Deep learning based data-driven model for detecting time-delay water quality indicators of wastewater treatment plant influent
Y Zhang, C Li, H Duan, K Yan, J Wang… - Chemical Engineering …, 2023 - Elsevier
Rapid and accurate detection of time-delayed water quality indicators (WQIs) is the key to
achieving fast feedback regulation of wastewater treatment plants (WWTPs) that enables its …
achieving fast feedback regulation of wastewater treatment plants (WWTPs) that enables its …
A deep learning algorithm for multi-source data fusion to predict water quality of urban sewer networks
Y Jiang, C Li, L Sun, D Guo, Y Zhang… - Journal of Cleaner …, 2021 - Elsevier
Point source pollution in urban drainage networks, which is difficult to monitor and control,
has been regarded as an intractable problem. To solve the problem, key water quality …
has been regarded as an intractable problem. To solve the problem, key water quality …
Multi-center federated learning: clients clustering for better personalization
Personalized decision-making can be implemented in a Federated learning (FL) framework
that can collaboratively train a decision model by extracting knowledge across intelligent …
that can collaboratively train a decision model by extracting knowledge across intelligent …
A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods
H Wan, R Xu, M Zhang, Y Cai, J Li, X Shen - Journal of Hydrology, 2022 - Elsevier
Non-point source (NPS) pollution is an important factor affecting the quality of water
environment. In recent years, a large number of online water quality monitoring stations …
environment. In recent years, a large number of online water quality monitoring stations …
A neural network-based production process modeling and variable importance analysis approach in corn to sugar factory
Y Tong, M Shu, M Li, Y Liu, R Tao, C Zhou… - Frontiers of Chemical …, 2023 - Springer
Corn to sugar process has long faced the risks of high energy consumption and thin profits.
However, it's hard to upgrade or optimize the process based on mechanism unit operation …
However, it's hard to upgrade or optimize the process based on mechanism unit operation …
Action recognition from 4D point clouds for privacy-sensitive scenarios in assistive contexts
I Ballester, M Kampel - … Conference on Computers Helping People with …, 2024 - Springer
Dementia is one of the leading causes of disability and dependency among older people
worldwide. To address the challenges faced by people with dementia, vision-based …
worldwide. To address the challenges faced by people with dementia, vision-based …
Rnn-lstm-based model predictive control for a corn-to-sugar process
J Meng, C Li, J Tao, Y Li, Y Tong, Y Wang, L Zhang… - Processes, 2023 - mdpi.com
The corn-to-sugar process is difficult to control automatically because of the complex
physical and chemical phenomena involved. Because the RNN-LSTN model has been …
physical and chemical phenomena involved. Because the RNN-LSTN model has been …
Data-driven novel deep learning applications for the prediction of rainfall using meteorological data
H Li, S Li, H Ghorbani - Frontiers in Environmental Science, 2024 - frontiersin.org
Rainfall plays an important role in maintaining the water cycle by replenishing aquifers,
lakes, and rivers, supporting aquatic life, and sustaining terrestrial ecosystems. Accurate …
lakes, and rivers, supporting aquatic life, and sustaining terrestrial ecosystems. Accurate …
脑复杂网络的刚度与阻尼特性分析
王荣， 刘浩俊， 刘珈宁， 吴莹 - 力学学报, 2024 - lxxb.cstam.org.cn
脑神经系统与机械振动系统表现出相似的振荡行为. 机械系统的振荡与刚度和阻尼密切相关,
但脑神经系统是否具有刚度和阻尼特性尚不清楚. 基于经典的FitzHugh-Nagumo (FHN) …
但脑神经系统是否具有刚度和阻尼特性尚不清楚. 基于经典的FitzHugh-Nagumo (FHN) …