Shashwot Paudel

ORCID: 0009-0006-0054-1378
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About
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Research Areas
  • Natural Language Processing Techniques
  • Vibration and Dynamic Analysis
  • Text and Document Classification Technologies
  • Lattice Boltzmann Simulation Studies
  • Advanced Numerical Methods in Computational Mathematics
  • Micro and Nano Robotics
  • Handwritten Text Recognition Techniques
  • Remote Sensing and LiDAR Applications
  • Image Processing and 3D Reconstruction
  • Spam and Phishing Detection
  • Biomimetic flight and propulsion mechanisms
  • Sentiment Analysis and Opinion Mining
  • Computer Graphics and Visualization Techniques
  • Heat Transfer and Optimization
  • Fluid Dynamics and Turbulent Flows
  • Wind and Air Flow Studies
  • 3D Surveying and Cultural Heritage

University of Illinois Urbana-Champaign
2023-2024

Charles Sturt University
2018

Abstract Recent advances in passive flying systems inspired by wind-dispersed seeds contribute to increasing interest their use for remote sensing applications across large spatial domains the Lagrangian frame of reference. These concepts create possibilities developing and studying structures with performance characteristics operating mechanisms that lie beyond those found nature. Here, we demonstrate a hybrid flier system, fabricated through process controlled buckling, yield unusual...

10.1093/pnasnexus/pgae110 article EN cc-by PNAS Nexus 2024-02-29

<title>Abstract</title> This paper presents a monolithic finite element-based overset approach to simulate turbulent flows around moving structures on overlapping unstructured meshes. The conventional Schwarz alternating method, which iterates between subdomains by exchanging boundary conditions obtain the solution, often suffers from slow convergence. Aiming address this issue, we formulate computational framework that treats as whole system evaluating solution continuity across subdomain...

10.21203/rs.3.rs-4623652/v1 preprint EN Research Square (Research Square) 2024-07-18

Transforming text-based identity documents, such as Nepali citizenship cards, into a structured digital format poses several challenges due to the distinct characteristics of script and minor variations in print alignment contrast across different cards. This work proposes robust system using YOLOv8 for accurate text object detection an OCR algorithm based on Optimized PyTesseract. The system, implemented within context mobile application, allows automated extraction important textual...

10.48550/arxiv.2410.05721 preprint EN arXiv (Cornell University) 2024-10-08
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