A5078275207- Multi-Agent Systems and Negotiation
- Distributed and Parallel Computing Systems
- Topic Modeling
- Peer-to-Peer Network Technologies
- Logic, Reasoning, and Knowledge
- COVID-19 diagnosis using AI
- Face and Expression Recognition
- Game Theory and Voting Systems
- Human Pose and Action Recognition
- Business Process Modeling and Analysis
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
- AI-based Problem Solving and Planning
- Network Security and Intrusion Detection
- Advanced Text Analysis Techniques
- Caching and Content Delivery
- COVID-19 epidemiological studies
- Smart Agriculture and AI
- Semantic Web and Ontologies
- Auction Theory and Applications
- Distributed systems and fault tolerance
- AI in cancer detection
- Medical Image Segmentation Techniques
- Complex Network Analysis Techniques
Chongqing Technology and Business University
2007-2024
Anhui Agricultural University
2023
University of Manchester
2007
Chongqing University
2004-2006
Species distribution models are widely used in conservation biology and invasive biology. MaxEnt the most among existing modeling tools. In process, default parameters often to build model. However, these tend be overfit. Aiming at this problem, study uses an optimized model analyze impact of past, present future climate on distributions Codonopsis pilosula , economic species, provide a theoretical basis for its introduction cultivation. Based 264 records eight environmental variables,...
Abstract LncRNA–protein interactions are ubiquitous in organisms and play a crucial role variety of biological processes complex diseases. Many computational methods have been reported for lncRNA–protein interaction prediction. However, the experimental techniques to detect laborious time-consuming. Therefore, address this challenge, paper proposes reweighting boosting feature selection (RBFS) method model select key features. Specially, reweighted apporach can adjust contribution each...
Grid information service (GIS) is a core functional component of grid that provides about various resources and their status. Security underpins GIS making secure access to an important issue. On the basis our existing work on architecture, we further propose security framework which leverages Shibboleth as authentication infrastructure combines PERMIS authorization technology. As result, this integrates advantages both cross-domain identity federation policy driven role based control, thus...
As COVID-19 poses a major threat to people’s health and economy, there is an urgent need for forecasting methodologies that can anticipate its trajectory efficiently. In non-stationary time series jobs, frequently hysteresis in the anticipated values relative real values. The multilayer deep-time convolutional network feature fusion are combined this paper’s proposal of enhanced Multilayer Deep Time Convolutional Neural Network (MDTCNet) prediction address problem. particular, it possible...
Aspect-Based Sentiment Analysis (ABSA) aims to identify aspect terms, corresponding sentiment polarities, and opinion terms. Most studies only focus on a subset of these tasks, which leads various complicated ABSA models. We propose text-based generation framework for tasks. It uses sequence-to-sequence text method that can selectively output polarity, items input sentences, than normalize the results using glove word vectors. Extensive experiments show effectiveness our proposed...
In this work, a simulation scheme using coupling-of-mode (COM) analysis for surface acoustic wave (SAW) torque sensors is presented. To extract the COM parameters, finite element (FEA) employed. A static study of shaft with an applied carried out so that stress and strain field distributions on piezoelectric substrate can be examined. Then, simulations unit periodic structure SAW device without torques are conducted. Finally, frequency responses sensor P-matrix cascading technique parameters...
In recent years, natural language processing has experienced rapid development, especially in utilizing statements to quickly query target data databases. Transforming user's into computer executable SQL become an important research direction for improving user database interaction. However, with the rise of large models, enhancing their performance Text-to-SQL tasks through prompt engineering a feasible direction. This article proposes PCEM-SQL method, which enables model generate...
Grid information service (GIS) provides data about distributed resources within a Grid. A comprehensive performance investigation of GIS can aid in detecting potential bottlenecks, advice deployment, and help improve future system development. Targeting the proposed DHT-based architecture with caching, we designed set experiments addressing issues conducted tests against deployed small scaled testbed. By analyzing collected from experiments, obtained quantitative view behaviour GIS. It will...
This work introduces a negotiation strategy based on uncompromising degree. Agents get information of the opponents in each iteration by means Bayesian learning mechanism, and then bring forward proposals for next according to We analyze mechanism use it opponents' information; introduce degree; discuss how remaining time affects strategy. Our regards whole process as dynamic interaction process, which enhances usage MAS complex environment. The experiments show that our has good performance.
This paper presents a new fuzzy constraint based multi-issue negotiation model for agent mediated collaborative manufacturing. Unlike the related work in models, pressure of deadline is taken into account while designing agents' demand relaxation strategies. We give an analysis optimal concession strategies and shows existence equilibrium even when all trading parties have incomplete information about one another. Moreover, outside options are specifically considered analyzing solutions.
This work introduces a negotiation strategy based on uncompromising degree. Agents get information of the opponents in each iteration by means Bayesian learning mechanism, and then bring forward proposals for next according to We analyze mechanism use it opponents' information; introduce degree; discuss how remaining time affects strategy. Our regards whole process as dynamic interaction process, which enhances usage MAS complex environment. The experiments show that our has good performance.
Breast cancer has become one of the leading causes death among women, and in recent years, incidence breast China been steadily increasing. However, is a chronic disease with no obvious early symptoms, once abnormalities are discovered, they often middle or late stages. Clinical data shows that detection treatment can greatly improve survival rate patients. ultrasound imaging technology gradually mainstream method diagnosis due to its low cost non-invasive safety features, emergence...
This paper introduces an innovative fusion of Latent Dirichlet Allocation (LDA) with fuzzy matching, aiming to elevate the expressiveness topics in text mining. Traditional LDA techniques, while effective, often fall short capturing intricate semantic nuances and contextual variations keywords within a given document. In this enhanced version, we propose methodology that seamlessly integrates matching algorithms, offering more refined approach topic modeling. The key distinction lies model's...
Grid information service (GIS) provides data about distributed resources within a Grid. A comprehensive performance investigation of GIS can aid in detecting potential bottlenecks, advice deployment, and help improve future system development. Targeting the proposed DHT-based architecture with caching, we designed set experiments addressing issues conducted tests against deployed small scaled testbed. By analyzing collected from experiments, obtained quantitative view behaviour GIS. It will...