The aviation industry relies on continuous inspections to ensure infrastructure safety, particularly in confined spaces like aircraft fuel tanks, where human inspections are labor-intensive, risky, and expose workers to hazardous exposures.Robotic systems present a promising alternative to these manual processes Pouch but face significant technical
Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
Abstract Background Computational identification of non-coding RNAs (ncRNAs) is a challenging problem.We describe a genome-wide analysis using Bayesian segmentation to identify intronic elements highly conserved between three evolutionarily distant vertebrate species: human, mouse and zebrafish.We investigate the extent to which these elements incl
Dynamic reconstruction in simultaneous localization and mapping based on the segmentation of high variability point zones
Dynamic scene reconstruction in real environments is still an ongoing research challenge; moving objects affect the performance of static environment-based simultaneous localization and mapping and impede a correct scene reconstruction.This paper proposes a method for dynamic scene reconstruction using sensor fusion for dynamic simultaneous localiz
Density-Based K-Nearest Neighbor Active Learning for Improving Farsi-English Statistical Machine Translation System
Labeled data are useful resources for different application in different fields like image processing, natural language processing etc.Producing labeled data is a costly process.One efficient solution for alleviating the costly process of annotating data is managing the sampling process.It is better to query for essential samples instead of a group