Using Alternation Direction Method of Multipliers to Enhance robots Calibration Accuracy based on Multi-Planal Constraints
T Chen, S Li - arXiv preprint arXiv:2304.11628, 2023 - arxiv.org
With the widespread application of industrial robots, the problem of absolute positioning
accuracy becomes increasingly prominent. To ensure the working state of the robots …
accuracy becomes increasingly prominent. To ensure the working state of the robots …
An Incomplete Tensor Tucker decomposition based Traffic Speed Prediction Method
J Mi - arXiv preprint arXiv:2304.10961, 2023 - arxiv.org
In intelligent transport systems, it is common and inevitable with missing data. While
complete and valid traffic speed data is of great importance to intelligent transportation …
complete and valid traffic speed data is of great importance to intelligent transportation …
Online Sparse Streaming Feature Selection via Decision Risk
Online streaming feature selection (OSFS) is an effective approach to addressing high-
dimensional data. In real big data-related applications, streaming features commonly have …
dimensional data. In real big data-related applications, streaming features commonly have …
A Momentum-Incorporated Non-Negative Latent Factorization of Tensors Model for Dynamic Network Representation
A Zeng - arXiv preprint arXiv:2305.02782, 2023 - arxiv.org
A large-scale dynamic network (LDN) is a source of data in many big data-related
applications due to their large number of entities and large-scale dynamic interactions. They …
applications due to their large number of entities and large-scale dynamic interactions. They …
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition
Mid-term electricity load forecasting (LF) plays a critical role in power system planning and
operation. To address the issue of error accumulation and transfer during the operation of …
operation. To address the issue of error accumulation and transfer during the operation of …
A Novel Industrial Robot Calibration Method Based on Multi-Planar Constraints
T Chen, S Li - 2023 IEEE International Conference on Systems …, 2023 - ieeexplore.ieee.org
Calibration technology is an essential technique to boost the absolute positioning accuracy
of robots. However, an industrial robot's working space is mostly restricted in real working …
of robots. However, an industrial robot's working space is mostly restricted in real working …
Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks
Y Zhong, Z Xie, W Li, X Luo - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
An Undirected Weighted Network (UWN) is frequently encountered in a big-data-related
application concerning the complex interactions among numerous nodes. A Symmetric High …
application concerning the complex interactions among numerous nodes. A Symmetric High …
A Hybrid Machine Learning Model for Urban Mid-and Long-Term Electricity Load Forecasting
X Tang, Z Jiang, L Zhang, J Wang, Y Zhang… - Mobile Computing and …, 2023 - Springer
Accurate mid-and long-term forecast of urban electricity demand is crucial to the operation
and planning of power systems. Besides economic trends and seasonal cycles, there are …
and planning of power systems. Besides economic trends and seasonal cycles, there are …
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
Y Zhong, Z Xie, W Li, X Luo - Pacific Rim International Conference on …, 2023 - Springer
H igh-D imensional and I ncomplete (HDI) data is commonly encountered in big data-related
applications like social network services systems, which are concerning limited interactions …
applications like social network services systems, which are concerning limited interactions …
A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration
This chapter investigates six regularization schemes, such as L 1, L 2, dropout, elastic, log,
and swish. Then, an efficient ensemble incorporates six regularizations to achieve high …
and swish. Then, an efficient ensemble incorporates six regularizations to achieve high …