A5049722352- Service-Oriented Architecture and Web Services
- Topic Modeling
- Semantic Web and Ontologies
- Data Management and Algorithms
- Advanced Database Systems and Queries
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Business Process Modeling and Analysis
- Advanced Computational Techniques and Applications
- Advanced Text Analysis Techniques
- IoT and Edge/Fog Computing
- Context-Aware Activity Recognition Systems
- Power Systems and Technologies
- Mobile Agent-Based Network Management
- Network Security and Intrusion Detection
- Advanced Algorithms and Applications
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Advanced Steganography and Watermarking Techniques
- Machine Learning in Healthcare
- Advanced Malware Detection Techniques
- Software-Defined Networks and 5G
- E-commerce and Technology Innovations
- Mobile Crowdsensing and Crowdsourcing
- Recommender Systems and Techniques
Wuhan University of Science and Technology
2017-2025
Wuhan University of Technology
2024
Xi'an Jiaotong University
2004-2024
Shanghai Electric (China)
2024
National Library of China
2023
Institute of Scientific and Technical Information of China
2022-2023
Shanghai Ocean University
2023
Institute of Scientific and Technical Information
2023
Shanghai Public Security Bureau
2023
Shenzhen Municipal Development and Reform Commission
2023
With the recent advancement of Internet Things (IoT), it is now possible to process a large number sensor data streams using different large-scale IoT platforms. These frameworks are used collect, and analyse in real-time facilitate provision smart solutions designed provide decision support. Existing IoT-based mainly domain-dependent, providing stream processing analytics focusing on specific areas (smart cities, healthcare etc.). In context agri-food industry, variety external parameters...
Our world and our lives are changing in many ways. Communication, networking, computing technologies among the most influential enablers that shape today. Digital data connected worlds of physical objects, people, devices rapidly way we work, travel, socialize, interact with surroundings, they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, control management applications, several other areas. Cities currently face an increasing...
An increasing number of cities are confronted with challenges resulting from the rapid urbanization and new demands that a rapidly growing digital economy imposes on current applications information systems. Smart city enable authorities to monitor, manage, provide plans for public resources infrastructures in environments, while offering citizens businesses develop use intelligent services cities. However, providing such smart gives rise several issues, as semantic heterogeneity...
Large-scale language models have demonstrated robust understanding and generation capabilities, enabling them to tackle various complex natural processing tasks. However, for domain-specific tasks like healthcare that require specialized expertise, relying solely on large dialogue is insufficient. Moreover, this paper aims improve the performance of in medical conversations enhance interpretability intermediary processes. It argues leveraging diverse knowledge agent-based architecture can...
As a decentralized network infrastructure, the data sent to blockchain are public and temper-evident. The cover of massive normal transactions in is ideal for constructing stable reliable covert channel achieve one-to-many group communication. Existing blockchain-based communication schemes face challenges balancing concealment, embedding rate filtering efficiency, making them unsuitable direct extension scenarios. Adopting key-leakage scheme can increase capacity while maintaining high...
In developing smart city, the growing popularity of machine learning (ML) that appreciates high-quality training data sets generated from diverse Internet-of-Things (IoT) devices raises natural questions about privacy guarantees can be provided in such settings. Privacy-preserving ML an aggregation scenario enables a model demander to securely train models with sensitive IoT gathered devices. The existing solutions are generally server aided, cannot deal collusion threat between servers or...
Ship diesel generator systems are critical to ship navigation. However, due the harsh marine environment, prone failures, and traditional fault diagnosis methods difficult meet requirements regarding accuracy, robustness, reliability. For this reason, paper proposes a method for system based on IVY algorithm-optimized random forest (IVY-RF). Firstly, model of was constructed using MATLAB/Simulink, operation data under normal working conditions were collected. Then, preprocessed time-domain...
Service computing has gained great success because it decouples service providers and consumers. Because of this decoupling, is possible to reuse software applications without knowing their implementation details. However, business consuming complex events (and event processing systems in general) are not maximising the full benefits from computing. Current models suitable for describing requirements enabling pattern-based composition fully addressed. In paper, we propose a description model...
With the development of urban economy and population growth, demand for construction land continues to rise. Addressing challenges protection ecological security calls exploration new approaches. This study emphasizes a sustainable solution by emphasizing in-depth existing resources, moving away from traditional “expanding pie” model development. Specifically, we selected parcels in Shenzhen city 2010 2020 that met criteria renewal transformation as evaluation units, further categorized into...
The integration of business processes with sensors and smart devices will result in a better alignment enterprise systems physical world. More recently, Business Process Modeling Notation (BPMN) 2.0 has become standard for the process modeling. BPMN defines formal semantics its elements provides means extensibility. Sensors are enabling further automation application. There is strong need describing information about on level. In this paper, we propose extensions according to ARIS...
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ABSTRACT Machine reading comprehension has been a research focus in natural language processing and intelligence engineering. However, there is lack of models datasets for the MRC tasks anti-terrorism domain. Moreover, current lacks ability to embed accurate background knowledge provide precise answers. To address these two problems, this paper first builds text corpus testbed that focuses on domain semi-automatic manner. Then, it proposes knowledge-based machine model fuses domain-related...
Abstract Temporal information is pervasive and crucial in medical records other clinical text, as it formulates the development process of conditions vital for decision making. However, providing a holistic knowledge representation reasoning framework various time expressions text challenging. In order to capture complex temporal semantics we propose novel Clinical Time Ontology (CTO) an extension from OWL framework. More specifically, identified eight time-related problems created 11 core...
Cloud native computing featured by microservice has been regarded as a compelling trend in cloud application development. Edge computing, an alternative or complemen-tary to is potential expand the edge simplifying development and deployment of applications. Despite that, there still challenge on how manage microservices efficiently open heterogeneous distributed environment. To this end, service mesh provides solution efficient management. However, traditional cloud-oriented architecture,...
Event detection (ED) aims to detect events from a given text and categorize them into event types. Most of the current approaches ED rely heavily on human annotations triggers, which are often costly affect application in other fields. However, triggers not necessary for task. We propose novel framework called Type Hierarchy Enhanced Detection Without Triggers (THEED) avoid this problem. More specifically, construct type hierarchy concept module using external knowledge graph Probase enhance...