A5100434488- Maritime Navigation and Safety
- Ship Hydrodynamics and Maneuverability
- Structural Integrity and Reliability Analysis
- Maritime Ports and Logistics
- Maritime Transport Emissions and Efficiency
- Stock Market Forecasting Methods
- Underwater Vehicles and Communication Systems
- Complex Systems and Time Series Analysis
- Marine and Coastal Research
- Time Series Analysis and Forecasting
- COVID-19 Pandemic Impacts
- Robotic Path Planning Algorithms
- Insurance and Financial Risk Management
Wuhan University of Technology
2022-2025
China Ocean Shipping (China)
2022-2025
In the last few years, autonomous ships have attracted increasing attention in maritime industry. Autonomous with an collision avoidance capability are development trend for future ships. this study, a ship manoeuvring process deduction-based dynamic adaptive decision support method is presented. Firstly, motion parameters of own relative to target calculated by using mathematical model. Then fuzzy set theory adopted construct risk models, which combine spatial index (SCRI) and time (TCRI)...
Sorting out the requirements for intelligent functions is prerequisite and foundation of top-level design development ships. In light inland ships 2030, 2035, 2050, based on analysis division ship functional modules by international representative classification societies relevant research institutions, eight necessary have been proposed: navigation, hull, engine room, energy efficiency management, cargo integration platform, remote control, autonomous operation. Taking technical realization...
The inherent complexity of traffic patterns in inland river tributary waterways presents significant challenges predicting ship behavior, resulting elevated accident risks compared to general waterways. With the intelligent development navigation, conducting research on autonomous navigation decision-making for waterway ships is crucial improving safety and efficiency. Based characteristics environment, a digital environment model with tributaries constructed meet information requirements...
In recent years, time series forecasting has been widely used in various fields, especially financial markets. Stock trend become one of the most common and complex challenges faced by investors researchers. However, much current research relies primarily on single-granularity stock data for forecasting, with relatively few studies multi-granularity fewer spatial correlation data. This inherent limitation restricts comprehensive extraction valuable information. To address this challenge, we...
In the world of financial investments, risk is one hottest subjects, and diversifying your investment portfolio best ways to do so. When choosing consumers always aim reduce while maintaining a specific rate return. The return on are discussed using mathematical statistical techniques. It made clear that there two types risk: systematic unsystematic risk, latter which can be diversified through portfolio. Since 2019, Covid-19 epidemic in United States has had variable degrees impact...