Fuzzy granular gravitational clustering algorithm for multivariate data
A new method for finding fuzzy information granules from multivariate data through a
gravitational inspired clustering algorithm is proposed in this paper. The proposed algorithm …
gravitational inspired clustering algorithm is proposed in this paper. The proposed algorithm …
Information granule formation via the concept of uncertainty-based information with interval type-2 fuzzy sets representation and Takagi–Sugeno–Kang consequents …
A technique for forming information granules is shown in this paper. Based on the theory of
uncertainty-based information, an approach toward a general base is given which forms …
uncertainty-based information, an approach toward a general base is given which forms …
The outlier and integrity detection of rail profile based on profile registration
Y Li, X Zhong, Z Ma, H Liu - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
For rail wear measurement, the process of profile registration is critical. Nowadays, the
widely used method is the rail waist double circle segment method (DCS). However, this …
widely used method is the rail waist double circle segment method (DCS). However, this …
K-MS: a novel clustering algorithm based on morphological reconstruction
This work proposes a clusterization algorithm called k-Morphological Sets (k-MS), based on
morphological reconstruction and heuristics. k-MS is faster than the CPU-parallel k-Means in …
morphological reconstruction and heuristics. k-MS is faster than the CPU-parallel k-Means in …
Modified Hough Transform Based Registration Method for Heavy-haul Railway Rail Profile with Intensive Environmental Noise
Y An, Y Cao, Y Sun, S Su… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In heavy-haul railway inspections, accurate rail profile registration is essential for assessing
wear and deformation of tracks. In this process, identifying the rail waist arc as key segments …
wear and deformation of tracks. In this process, identifying the rail waist arc as key segments …