• A Machine Learning Approach to Genome Assessment 

      Thrash, Charles Adam (Mississippi State UniversityDepartment of Computer Science and EngineeringJames Worth Bagley College of EngineeringInstitute for Genomics, Biocomputing & BiotechnologyOffice of the Graduate School, 2019)
      A key use of high throughput sequencing technology is the sequencing and assembly of full genome sequences. These genome assemblies are commonly assessed using statistics relating to contiguity of the assembly. Measures ...
    • Predicting vulnerability for requirements: A data-driven approach 

      Imtiaz, Sayem Mohammad (Mississippi State UniversityDepartment of Computer Science and EngineeringJames Worth Bagley College of EngineeringOffice of the Graduate School, 2019)
      Being software security one of the primary concerns in the software engineering community, researchers are coming up with many preemptive approaches which are primarily designed to detect vulnerabilities in the post-implementation ...
    • Understanding state-of-the-art material classification through deep visualization 

      Donovan, Jordan
      Neural networks (NNs) excel at solving several complex, non-linear problems in the area of supervised learning. A prominent application of these networks is image classification. Numerous improvements over the last few ...