One of the directions of development of methods for group control of swarm agents is formation. Formation of agents is useful in solving transport problems, navigation problems and others. Currently, there are various...
详细信息
Multi-agent systems have advantages over single vehicles when performing scalable tasks, such as area monitoring. For area monitoring it is reasonable to use a heterogeneous multi-agent system, where part of the agent...
详细信息
As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around...
详细信息
As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around sharing and discussing current events. Within these communities, users are enabled to share their opinions about each event. Using Sentiment Analysis to understand the polarity of each message belonging to an event, as well as the entire event, can help to better understand the general and individual feelings of significant trends and the dynamics on online social networks. In this context, we propose a new ensemble architecture, EDSAEnsemble (Event Detection Sentiment Analysis Ensemble), that uses Event Detection and Sentiment Analysis to improve the detection of the polarity for current events from Social Media. For Event Detection, we use techniques based on Information Diffusion taking into account both the time span and the topics. To detect the polarity of each event, we preprocess the text and employ several Machine and Deep Learning models to create an ensemble model. The preprocessing step includes several word representation models: raw frequency, TFIDF, Word2Vec, and Transformers. The proposed EDSA-Ensemble architecture improves the event sentiment classification over the individual Machine and Deep Learning models. Authors
The search for optimal control is possible using numerical iterative algorithms based on the Pontryagin maximum principle. This approach involves repeated calculation of the gradient of the functional. This task becom...
详细信息
Integrated energy system is a useful tool for achieving the"dual-carbon"goal. In order to explore the demand-side adjustable potential of the comprehensive energy system for lowering carbon emissions, this p...
详细信息
This paper considers the problem of finding quasi-optimal control for an object with an incomplete mathematical model. The main difficulty in practice is obtaining a system of differential equations that describe the ...
详细信息
Pneumonia is one of the top causes of death in Romania and early detection of this disease improves the recovery chances and shortens the length of hospitalization. In this work, we develop a solution for automatic pn...
详细信息
Mechanical equipment operating in extreme environments is prone to damage critical components, thus affecting its performance and remaining service life, which leads mechanical equipment diagnosis to be a focus. Data-...
详细信息
The work presents a comparison of the object recognition methods based on three algorithms (Eigenface, Fisherfaces, LBPH-Local Binary Patterns Histograms), which were extended to include thermal imaging. The aim of th...
详细信息
The field of quantum computing has developed rapidly in recent years due to its promising trend of surpassing traditional machine learning in terms of speed and effectiveness. Quantum kernel learning is one of the par...
详细信息
暂无评论