4 Papers
18 Citations
Sen An is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Computer science & Upsampling. The author has an hindex of 2, co-authored 2 publications.
Chat about Author
Papers
Fast, accurate and robust retinal vessel segmentation system
TL;DR: This work presents a novel approach to extract blood vessels from the retinal fundus, by using morphology-based global thresholding to draw theretinal venule structure and centerline detection method for capillaries.
83
L-Unet: A Landslide Extraction Model Using Multi-Scale Feature Fusion and Attention Mechanism
TL;DR: Wang et al. as mentioned in this paper proposed a new model based on the U-Net model to automatically extract landslides from remote-sensing images: L-Unet, which improved the model's ability to extract multi-scale landslide information.
32
FPGA implementation of low latency scalable Elliptic Curve Cryptosystem processor in GF(2 m )
K. C. Cinnati Loi,Sen An,Seok-Bum Ko +2 more
- 01 Jun 2014
TL;DR: The paper proposes an architecture of a finite field multiplier that uses the Karatsuba-Ofman algorithm in order to reduce the latency of the finite field multiplication for larger key sizes, and to the authors' best knowledge, the proposed scalable ECPs are the fastest E CPs that can support all 5 pseudo-random or Koblitz curves recommended by NIST.
19
Forest Fire Detection of FY-3D Using Genetic Algorithm and Brightness Temperature Change
TL;DR: In this paper , a novel method based on FengYun-3D combining the genetic algorithm and brightness temperature change detection is proposed in order to improve the problem of forest fire detection.