A5031872935- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Data Management and Algorithms
- Particle Accelerators and Free-Electron Lasers
- Distributed and Parallel Computing Systems
- Gamma-ray bursts and supernovae
- Fluid Dynamics and Turbulent Flows
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
- Laser-Plasma Interactions and Diagnostics
- Particle accelerators and beam dynamics
- Aerodynamics and Acoustics in Jet Flows
- Nuclear Physics and Applications
- Food Safety and Hygiene
- Optical properties and cooling technologies in crystalline materials
- Traffic Prediction and Management Techniques
- Nuclear reactor physics and engineering
- Big Data Technologies and Applications
- Astrophysics and Cosmic Phenomena
Kyungpook National University
2024-2025
A. Alikhanyan National Laboratory
2024
Institute of High Energy Physics
2024
University of Antwerp
2024
Mokpo National Maritime University
2024
Northeastern University
1991
Existing route-clustering methods often fail to identify abnormal sections or similarities between routes, mainly when working with large long datasets. While sub-route clustering can detect regional patterns, it struggles accurately capture the overall route structure. The present study proposes a new ship method that enhances computational efficiency and noise recognition while addressing these limitations. We refined Automatic Identification System data via four data-cleaning processes...