Dezheng Zhang
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View article: KG-SR-LLM: Knowledge-Guided Semantic Representation and Large Language Model Framework for Cross-Domain Bearing Fault Diagnosis
KG-SR-LLM: Knowledge-Guided Semantic Representation and Large Language Model Framework for Cross-Domain Bearing Fault Diagnosis Open
Bearing fault diagnosis is crucial for stable operation and safe manufacturing as industry intelligence becomes increasingly advanced. However, under complicated non-linear vibration modes and multiple operating conditions, most of the cur…
View article: Feature Extraction with Refinement and Rebuilding Module for Visual Tracking
Feature Extraction with Refinement and Rebuilding Module for Visual Tracking Open
Convolutional neural network based trackers have achieved excellent tracking performance in terms of accuracy and speed. The feature extraction network is an essential component of trackers. However, existing feature extraction sub-network…
View article: Probability and Severity Based Overvoltage Risk Analysis Considering Large-Scale DG Access
Probability and Severity Based Overvoltage Risk Analysis Considering Large-Scale DG Access Open
With the rapid increase of distributed generation (DG) in the distribution network (DN), the analysis of DG maximum bearing capacity (DGMBC) is paid more attention. However, the existing methods can not precisely simulate the overvoltage r…
View article: Non-native flora changes in rural gardens of China: the role of tourism
Non-native flora changes in rural gardens of China: the role of tourism Open
Human cultivation facilitates the naturalization and subsequent invasion of non-native plant species through, for example, protection from predators or reducing environmental stochasticity. With the development of tourism, non-native plant…
View article: Degenerate perturbation theory to quantum search
Degenerate perturbation theory to quantum search Open
We utilize degenerate perturbation theory to investigate continuous-time quantum search on second-order truncated simplex lattices. In this work, we show that the construction of the Hamiltonian must consider the structure of the lattice. …
View article: Chinese Named Entity Recognition Method for Domain-Specific Text
Chinese Named Entity Recognition Method for Domain-Specific Text Open
The Chinese named entity recognition (NER) is a critical task in natural language processing, aiming at identifying and classifying named entities in text. However, the specificity of domain texts and the lack of large-scale labelled datas…
View article: Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification
Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification Open
Text pre-processing is an important component of a Chinese text classification. At present, however, most of the studies on this topic focus on exploring the influence of preprocessing methods on a few text classification algorithms using …
View article: Ethnobotanical study on edible flowers in Xishuangbanna, China
Ethnobotanical study on edible flowers in Xishuangbanna, China Open
View article: Location optimization of fresh food e-commerce front warehouse
Location optimization of fresh food e-commerce front warehouse Open
The ongoing emergence of COVID-19 and the maturation of cold chain technology, have aided in the rapid development of the fresh produce e-commerce industry. Taking into account the characteristics of consumers' demand for fresh products, …
View article: Modelling and Control of the Solar Energy Storage System Providing Fast Frequency Support
Modelling and Control of the Solar Energy Storage System Providing Fast Frequency Support Open
In order to study the effect of the large-scale solar energy system that can provide fast frequency support to the grid, this paper studies the modeling and frequency control strategies of the solar energy system. The paper firstly explain…
View article: Geometry-V-Sub: An Efficient Graph Attention Network Struct Based Model for Node Classification
Geometry-V-Sub: An Efficient Graph Attention Network Struct Based Model for Node Classification Open
With the development of deep learning and graph deep learning, the network structure is more and more complex, and the parameters in the network model and the computing resources and storage resources required are increasing. The lightweig…
View article: Traditional Chinese Medicine Word Representation Model Augmented with Semantic and Grammatical Information
Traditional Chinese Medicine Word Representation Model Augmented with Semantic and Grammatical Information Open
Text vectorization is the basic work of natural language processing tasks. High-quality vector representation with rich feature information can guarantee the quality of entity recognition and other downstream tasks in the field of traditio…
View article: An Improved Multi-Label Learning Method with ELM-RBF and a Synergistic Adaptive Genetic Algorithm
An Improved Multi-Label Learning Method with ELM-RBF and a Synergistic Adaptive Genetic Algorithm Open
Profiting from the great progress of information technology, a huge number of multi-label samples are available in our daily life. As a result, multi-label classification has aroused widespread concern. Different from traditional machine l…
View article: Cross-Modal Feature Representation Learning and Label Graph Mining in a Residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification
Cross-Modal Feature Representation Learning and Label Graph Mining in a Residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification Open
The results of aerial scene classification can provide valuable information for urban planning and land monitoring. In this specific field, there are always a number of object-level semantic classes in big remote-sensing pictures. Complex …
View article: Investigating Multi-Level Semantic Extraction with Squash Capsules for Short Text Classification
Investigating Multi-Level Semantic Extraction with Squash Capsules for Short Text Classification Open
At present, short text classification is a hot topic in the area of natural language processing. Due to the sparseness and irregularity of short text, the task of short text classification still faces great challenges. In this paper, we pr…
View article: A Tweet Sentiment Classification Approach Using a Hybrid Stacked Ensemble Technique
A Tweet Sentiment Classification Approach Using a Hybrid Stacked Ensemble Technique Open
With the extensive availability of social media platforms, Twitter has become a significant tool for the acquisition of peoples’ views, opinions, attitudes, and emotions towards certain entities. Within this frame of reference, sentiment a…
View article: Semantic Relation Model and Dataset for Remote Sensing Scene Understanding
Semantic Relation Model and Dataset for Remote Sensing Scene Understanding Open
A deep understanding of our visual world is more than an isolated perception on a series of objects, and the relationships between them also contain rich semantic information. Especially for those satellite remote sensing images, the span …
View article: Improvement of Support Vector Machine Algorithm in Big Data Background
Improvement of Support Vector Machine Algorithm in Big Data Background Open
With the rapid development of the Internet and the rapid development of big data analysis technology, data mining has played a positive role in promoting industry and academia. Classification is an important problem in data mining. This pa…
View article: Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision
Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision Open
Background Traditional Chinese medicine (TCM) clinical records contain the symptoms of patients, diagnoses, and subsequent treatment of doctors. These records are important resources for research and analysis of TCM diagnosis knowledge. Ho…
View article: An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation Open
Particle size is the most important index to reflect the crushing quality of ores, and the accuracy of particle size statistics directly affects the subsequent operation of mines. Accurate ore image segmentation is an important prerequisit…
View article: Composition of Rhizosphere Microbial Communities Associated With Healthy and Verticillium Wilt Diseased Cotton Plants
Composition of Rhizosphere Microbial Communities Associated With Healthy and Verticillium Wilt Diseased Cotton Plants Open
Rhizosphere microbial communities are known to be related to plant health; using such an association for crop management requires a better understanding of this relationship. We investigated rhizosphere microbiomes associated with Verticil…
View article: Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision (Preprint)
Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision (Preprint) Open
BACKGROUND Traditional Chinese medicine (TCM) clinical records contain the symptoms of patients, diagnoses, and subsequent treatment of doctors. These records are important resources for research and analysis of TCM diagnosis knowledge. H…
View article: Change Detection of Remote Sensing Images Based on Attention Mechanism
Change Detection of Remote Sensing Images Based on Attention Mechanism Open
In recent years, image processing methods based on convolutional neural networks (CNNs) have achieved very good results. At the same time, many branch techniques have been proposed to improve accuracy. Aiming at the change detection task o…
View article: Computer vision-based techniques and path planning strategy in a slope monitoring system using unmanned aerial vehicle
Computer vision-based techniques and path planning strategy in a slope monitoring system using unmanned aerial vehicle Open
Unmanned aerial vehicle is a typical field robot which can work in many unstructured environments like mines, forests, and even radiation areas. In our mine monitoring system built in a northeast province of China, special designed unmanne…
View article: Bi-Modal Learning With Channel-Wise Attention for Multi-Label Image Classification
Bi-Modal Learning With Channel-Wise Attention for Multi-Label Image Classification Open
Multi-label image classification is more in line with the real-world applications. This problem is difficult due to the the fact that complex label space makes it hard to get label-level attention regions and deal with semantic relationshi…
View article: Multi-Adversarial Partial Transfer Learning With Object-Level Attention Mechanism for Unsupervised Remote Sensing Scene Classification
Multi-Adversarial Partial Transfer Learning With Object-Level Attention Mechanism for Unsupervised Remote Sensing Scene Classification Open
In recent years, deep learning methods have been widely applied in remote sensing image classification tasks, providing valuable information for natural monitoring and spatial planning. In an actual application like this, acquiring massive…
View article: Improving Distantly-Supervised Named Entity Recognition for Traditional Chinese Medicine Text via a Novel Back-Labeling Approach
Improving Distantly-Supervised Named Entity Recognition for Traditional Chinese Medicine Text via a Novel Back-Labeling Approach Open
Recent advances in deep neural networks (DNNs) have enabled us to achieve reliable named entity recognition (NER) models without handcrafting features. However, these are also some obstacles imposed by using those machine learning methods,…
View article: Auxiliary Diagnosis Based on the Knowledge Graph of TCM Syndrome
Auxiliary Diagnosis Based on the Knowledge Graph of TCM Syndrome Open
As one of the most valuable assets in China, traditional medicine has a long history and contains pieces of knowledge. The diagnosis and treatment of Traditional Chinese Medicine (TCM) has benefited from the natural langu... | Find, read a…
View article: Neural Dialogue Model with Retrieval Attention for Personalized Response Generation
Neural Dialogue Model with Retrieval Attention for Personalized Response Generation Open
View article: Non-Intrusive Load Disaggregation Based on Residual Gated Network
Non-Intrusive Load Disaggregation Based on Residual Gated Network Open
Non-intrusive load disaggregation is designed to estimate the power consumption of each appliance based on the total power of the appliance in the household. Conventional machine learning algorithms cannot accurately extract semantic infor…