A5065875408- Advanced Research in Systems and Signal Processing
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Energy, Environment, Economic Growth
- Evaluation and Optimization Models
- Impact of AI and Big Data on Business and Society
- Graphene and Nanomaterials Applications
- biodegradable polymer synthesis and properties
- Green IT and Sustainability
- Advanced Data Processing Techniques
- Environmental Impact and Sustainability
- Evaluation Methods in Various Fields
- Environmental Sustainability in Business
- Corporate Social Responsibility Reporting
- Translation Studies and Practices
- Sensor Technology and Measurement Systems
- Bone Tissue Engineering Materials
University of Southampton
2024
Jiangxi Normal University
2024
Communication University of China
2023
Reinforcement Learning (RL) is a distinct branch of machine learning focused on how agents should take actions in an environment to maximize cumulative rewards. Unlike supervised learning, which relies labeled datasets, RL driven by the agent's interactions with its environment, optimal behaviors through trial and error. The agent learns make decisions performing certain receiving rewards or penalties return. goal learn policy that maximizes reward over time.
The rapid growth of the digital economy has heightened concerns over its environmental impacts, particularly in terms carbon dioxide emissions. In contrast to previous studies that focus on positive effects technology reducing emissions, this paper provides a detailed analysis various factors influence emissions and their interrelationships, using system dynamics method simulate predict China’s future emission baseline from 2016 2046. Four different scenarios were established by adjusting...
The use of artificial intelligence (AI) for audiovisual dubbing has become increasingly popular due to its ability improve content production and dissemination. In particular, the application machine translation (MT) resulted in more efficient productive AI generation. To assess quality MT-dubbed videos, this study proposed new FAS model. This model adapts FAR put forward by Pedersen (2017), with “R (Readability)” parameter replaced “S” include synchrony: amendment responds research on that...
Reinforcement Learning (RL) is a distinct branch of machine learning focused on how agents should take actions in an environment to maximize cumulative rewards. Unlike supervised learning, which relies labeled datasets, RL driven by the agent's interactions with its environment, optimal behaviors through trial and error. The agent learns make decisions performing certain receiving rewards or penalties return. goal learn policy that maximizes reward over time.
From the ESG ratings information on A-share listed automotive businesses published from 2018 to 2022, regression analyses using Ordinary Least Squares (OLS) method were carried out for this company. The study explores how disclosure affects business value in car sector and experimentally examines model. study's conclusions show a strong positive influence between worth of enterprises sector. Therefore, financial investment market supports companies with more strongly than those lesser...