A5037787798- Topic Modeling
- Software Engineering Research
- Sentiment Analysis and Opinion Mining
- Web Data Mining and Analysis
- Advanced Text Analysis Techniques
- Advanced Measurement and Metrology Techniques
- Surface Roughness and Optical Measurements
- Microwave Engineering and Waveguides
- Non-Destructive Testing Techniques
- Monoclonal and Polyclonal Antibodies Research
- Concrete and Cement Materials Research
- Advanced Measurement and Detection Methods
- Belt Conveyor Systems Engineering
- Persona Design and Applications
- RNA and protein synthesis mechanisms
- Millimeter-Wave Propagation and Modeling
- Climate Change and Health Impacts
- Power Line Inspection Robots
- Data-Driven Disease Surveillance
- Global Energy and Sustainability Research
- Anomaly Detection Techniques and Applications
- Infrared Target Detection Methodologies
- Sustainable Development and Environmental Policy
- vaccines and immunoinformatics approaches
- Image and Object Detection Techniques
Northeastern University
2024
Xi'an Jiaotong University
2024
Beijing Police College
2024
Shanghai Jiao Tong University
2024
Shanghai Police College
2024
Wuhan University of Technology
2020-2023
Nanjing University of Posts and Telecommunications
2022
Beijing Institute of Technology
2019-2021
The emergence and rapid progress of the Internet have brought ever-increasing impact on financial domain. How to rapidly accurately mine key information from massive negative texts has become one issues for investors decision Rakers. Aiming at issue, we propose a sentiment analysis entity detection approach based BERT, which is applied in online text mining public opinion social media. By using pre-train model, first study analysis, then consider as sentence matching or Machine Reading...
Introduction Gross Domestic Product (GDP) is the most well-known and widely used measure of a country’s economic health. However, GDP fails to account for depletion natural resources environmental damage that occurs in pursuit growth, leading an incomplete potentially misleading picture nation’s well-being. To address this shortcoming, Green (GGDP) proposed as more comprehensive indicator incorporates factors into assessment. This study builds on extensive literature reviews, internationally...
The emergence and rapid progress of the Internet have brought ever-increasing impact on financial domain. How to rapidly accurately mine key information from massive negative texts has become one issues for investors decision makers. Aiming at issue, we propose a sentiment analysis entity detection approach based BERT, which is applied in online text mining public opinion social media. By using pre-train model, first study analysis, then consider as sentence matching or Machine Reading...
Abstract With the application of personalized and precision medicine, more precise efficient antibody drug development technology is urgently needed. Identification antibody-antigen interactions crucial to engineering. The time-consuming expensive nature wet-lab experiments calls for computational methods. Taking into account non-overlapping advantage current structure-dependent sequence-only methods, we propose an interpretable interaction prediction method, S3AI. introduction structural...
Commercially launched by more than 100 world-wide operators with a compound annual growth rate (CAGR) of ~30%, Fiber-To-the-Room (FTTR) is becoming the mainstream home broadband service that provides gigabit bandwidth and reliable transmission covering everywhere at office, extending all-optical networks to each room multiplied access points (APs) [1], as shown in Fig. 1 where omnidirectional radiation (OR) architecture(OR-FTTR) [2]–[4] conventional RF front-end module (FEM) has been...
Tag recommendation in software information sites is a popular way to help developers classify objects. Existing methods mostly consider tag as multi-label classification task, which does not adequately leverage the semantic of tags themselves. It observed that granularity from abstract specific and deep learning models have proven capable automatically features different layers an integrated network with abstraction degrees. In this paper, we propose TagMatchRec, matching framework for...
Tag recommendation in software information sites is a significant task to help developers make distinctions among objects. Most existing methods usually ignore the semantic of code snippets sites. To tackle this issue, we regard as enhancement signal, and propose novel Code-Enhanced fine-grained matching method for Recommendation (CETR) learn score between tags In our CETR, code-enhanced interaction designed capture relevance Specifically, text descriptions objects are first encoded two...
The calibration of the relative positional relationship between base frame multiple robots is basis multi-robot collaborative work. Therefore, it necessary to accurately measure relationship. method based on robot itself has advantages simple operation and low cost, but teaching accuracy difficult be guaranteed low. four- point proposed in this paper was itself. Adopted principle homogenization error improve accuracy. ultrasonic scanning experiment proves that can reduce 1mm effectively...
Cross-project defect prediction (CPDP) is a hot research topic in recent years. The inconsistent data distribution between source and target projects lack of labels for most instances bring challenge prediction. Researchers have developed several CPDP methods. However, the performance still needs to be improved. In this paper, we propose novel approach called Joint Domain Adaption Pseudo-Labeling (JDAPL). network architecture consists feature mapping sub-network map into common subspace,...
Timely and accurate collection analysis of a financial entity's online text not only helps investors void risks optimize investment plans, but also the institutions's own public opinion management. However, how to automatically identify negative from large number key entities mainly described by is difficult problem. Most existing studies focuses on sentimental polarity texts or all that extract them. institution may be more focused in texts, rather than just sentiment texts. Besides, news...
The final assembly is the and core link in production process of missile, its accuracy directly determines efficiency quality product. However, most cabins at present mainly relies on human visual inspection or with help measuring tools to ensure accuracy, which results poor gap uniformity low efficiency. Aiming lateral small-diameter missiles, this paper proposes a method for deviation missile based laser scanning. This can measure attitude other 5 degrees freedom except roll angle, finally...