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Full-Text Articles in Computer Sciences
Machine Learning For Terminal Procedure Chart Change Detection, Anthony M. Marchiafava
Machine Learning For Terminal Procedure Chart Change Detection, Anthony M. Marchiafava
University of New Orleans Theses and Dissertations
Terminal Procedure Charts are a constantly updated and necessary tool for aircraft personnel to approach and take off from airport runways safely. Detecting changes within these charts is a time-consuming and laborious process. Here machine learning techniques were used to predict regions of change in charts based on detecting the charts image regions and comparing features extracted from those regions. Outlined are methodologies to detect differences between two separate charts to produce images with changed regions clearly indicated. Both more conventional computer vision and machine learning techniques were applied. For images with minor shifts, the proposed model is able to …
Prediction Of Hierarchical Classification Of Transposable Elements Using Machine Learning Techniques, Manisha Panta
Prediction Of Hierarchical Classification Of Transposable Elements Using Machine Learning Techniques, Manisha Panta
University of New Orleans Theses and Dissertations
Transposable Elements (TEs) or jumping genes are the DNA sequences that have an intrinsic capability to move within a host genome from one genomic location to another. Studies show that the presence of a TE within or adjacent to a functional gene may alter its expression. TEs can also cause an increase in the rate of mutation and can even promote gross genetic arrangements. Thus, the proper classification of the identified jumping genes is important to understand their genetic and evolutionary effects. While computational methods have been developed that perform either binary classification or multi-label classification of TEs, few studies …