A review on the role of various machine learning algorithms in microwave-assisted pyrolysis of lignocellulosic biomass waste
The fourth industrial revolution will heavily rely on machine learning (ML). The rationale is
that these strategies make various business operations in many sectors easier. ML modeling …
that these strategies make various business operations in many sectors easier. ML modeling …
A clustering-based partially stratified sampling for high-dimensional structural reliability assessment
J Song, J Xu - Computers & Structures, 2024 - Elsevier
Assessing structural reliability problem with high-dimensional random inputs is still
challenging due to the “curse of dimensionality”. In this paper, this challenge is addressed …
challenging due to the “curse of dimensionality”. In this paper, this challenge is addressed …
Research on soft sensor modeling method for complex chemical processes based on local semi-supervised selective ensemble learning
X Liu, L Li, F Zhang, N Li - Measurement Science and …, 2024 - iopscience.iop.org
To address the adverse effects of nonlinearity and dynamic time-varying in complex
chemical processes on the accuracy of the soft sensor model, a local-semi-supervised …
chemical processes on the accuracy of the soft sensor model, a local-semi-supervised …
A Shared Natural Neighbors Based-Hierarchical Clustering Algorithm for Discovering Arbitrary-Shaped Clusters.
Z Chen, J Feng, F Cai, D Yang - Computers, Materials & …, 2024 - search.ebscohost.com
In clustering algorithms, the selection of neighbors significantly affects the quality of the final
clustering results. While various neighbor relationships exist, such as K-nearest neighbors …
clustering results. While various neighbor relationships exist, such as K-nearest neighbors …
Application of BERT Model for Unsupervised Text Classification using Hierarchical Clustering for Automatic Classification of Thesis Manuscript
CD Montes, JV Silvosa, CC Abalorio… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Many current studies on natural language processing (NLP) depend on supervised learning,
which needs a lot of labeled data. This is not practical for large classification tasks. This …
which needs a lot of labeled data. This is not practical for large classification tasks. This …