J
Jianxin Liu
Publications - 4
Citations - 24
Jianxin Liu is an academic researcher. The author has contributed to research in topics: Deep learning & Matrix (chemical analysis). The author has an hindex of 1, co-authored 3 publications receiving 5 citations.
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Sentiment Analysis of Social Media via Multimodal Feature Fusion
TL;DR: A new multimodal sentiment analysis model that first eliminates noise interference in textual data and extracts more important image features, and in the feature-fusion part based on the attention mechanism, the text and images learn the internal features from each other through symmetry.
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Image Semantic Segmentation Use Multiple-Threshold Probabilistic R-CNN with Feature Fusion
TL;DR: Wang et al. as mentioned in this paper proposed an image semantic segmentation algorithm based on a deep neural network, which uses a symmetrical feature pyramid network and adds a multiplethreshold architecture to improve the sample screening precision.
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Elite Exploitation: A Combination of Mathematical Concept and EMO Approach for Multi-Objective Decision Making
TL;DR: In this paper, a hybrid genetic algorithm called NSGA-II-BnF was proposed for multi-objective decision making, which combines the combination of a classic mathematical function named hyperbolic tangent with a metaheuristic algorithm.
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Preparation of three-dimensional matrices of human gingival tissue and comparison of induction of mesenchymal and blastema stem cell behaviors in prepared scaffolds.
TL;DR: The results showed that scaffolds made from human gums can be a good platform for studying cellular behaviors and that the study of scaffolds by electron microscopy showed preserving the epithelium matrix and the collagen fibers in the tissue.