Now showing items 1-5 of 5

    • Brain Cancer Detection Using MRI Scans 

      Thotapally, Shanthanreddy (North Dakota State University, 2020)
      An estimate of about 700,000 Americans today live with a brain tumor. Of these, 70% are benign and 30% are malicious. The average survival rate of all the malicious brain tumor patients is 35%. Diagnosing these tumors early ...
    • Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation 

      Kasam, Shashi Kanth (North Dakota State University, 2016)
      Glowworm Smarm Optimization (GSO), one of the nature-inspired swarm intelligence algorithms is used for finding solutions to optimization problems. Glowworms emit light to attract its mates and mates choosing the brighter ...
    • Implementation of a Clonal Selection Algorithm 

      Valluru, Srikanth (North Dakota State University, 2014)
      Some of the best optimization solutions were inspired by nature. Clonal selection algorithm is a technique that was inspired from genetic behavior of the immune system, and is widely implemented in the scientific and ...
    • Mining Connected Frequent Boolean Expressions 

      Kolte, Deepak (North Dakota State University, 2017)
      In this paper, we are finding Connected Frequent Boolean Expressions from cancer dataset [14] and protein protein interaction network [14] to discover group of dysregulated genes. Frequent Itemset Mining is a process of ...
    • Particle Swarm Optimization Algorithm: Variants and Comparisons 

      Mattaparthi, Sowjanya (North Dakota State University, 2015)
      Since the introduction of Particle Swarm optimization by Dr. Eberhart and Dr. Kennedy, there have been many variations of the algorithm proposed by many researchers and various applications presented using the algorithm. ...