Browsing Computer Science by Title

Now showing items 45-64 of 405

    • Basic Cybersecurity Awareness Through Gaming 

      Kulkarni, Vikas Krishnarao (North Dakota State University, 2019)
      The goal of this paper is to bring the basic awareness of cybersecurity among students so that they do not become a victim of cybercrime. Studies show that cybersecurity serious games support multiple well-established ...

    • Bayesian Approach for Detection Classification 

      Annapureddy, Anupama Reddy (North Dakota State University, 2011)
      The objective of this paper is to develop and test a software system that uses incomplete information from a collection of sensors to classify different objects present in a particular area with a pre-specified probability. ...

    • Best Practices of ERP Implementation 

      Puri, Rahul (North Dakota State University, 2014)
      Today Enterprise Resource Planning (ERP) has become a fundamental necessity for the organization. It serves many functional areas and many industries in an integrated fashion, trying to automate operations from inventory ...

    • Big Body: A Collaborative Platform for Bodybuilding and Nutrition 

      Arora, Amit (North Dakota State University, 2017)
      Health and a supple body has been seen as a prized possession by almost every culture. Witnessing our body grow and come alive with health after months of hard work is an unparalleled feeling. Bodybuilding tends to improve ...

    • Blockchain-Based Trust Model: Alleviating the Threat of Malicious Cyber-Attacks 

      Bugalwi, Ahmed Youssef (North Dakota State University, 2020)
      Online communities provide a unique environment where interactions performed among its subscribers who have shared interest. Members of these virtual communities are typically classified as trustworthy and untrustworthy. ...

    • Blood Glucose Prediction Models for Personalized Diabetes Management 

      Fernando, Warnakulasuriya Chandima (North Dakota State University, 2018)
      Effective blood glucose (BG) control is essential for patients with diabetes. This calls for an immediate need to closely keep track of patients' BG level all the time. However, sometimes individual patients may not be ...

    • 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 ...

    • Breast Cancer Diagnosis Using Different Machine Learning Techniques 

      Roy, Souradip (North Dakota State University, 2019)
      Cancer is one of the dangerous diseases which causes many deaths each year and breast cancer being one of them which is quite common among women. In today’s time 12 percent of the women can develop breast cancer over her ...

    • Building Plant 3D Genome Computing Resources 

      Bulathsinghalage, Chanaka Sampath Cooray (North Dakota State University, 2021)
      Chromatin interactions play increasingly important roles in three-dimensional genome organization and long-range gene regulation. Analyzing the three-dimensional structure of the plants is currently a growing field and we ...

    • Capacitated Transshipment Models for Predicting Signaling Pathways 

      Sahni, Ritika (North Dakota State University, 2012)
      Signal transduction is a process of transmitting signals for controlling biological responses. The protein-protein interaction (PPI) data, containing signal transduction proteins, can be considered as a bi-directional, ...

    • CareCompanion: A Virtual Assistant for Enhancing Quality of Life in Alzheimer's Disease and Related Dementia Patients 

      Hasan, Wordh Ul (North Dakota State University, 2023)
      Patients with Alzheimer's Disease and Associated Dementias (ADRD), as well as older adults, grapple with issues such as memory loss, trouble navigating, and feelings of loneliness. These challenges influence their daily ...

    • CHAPS Online 

      Koirala, Suman (North Dakota State University, 2022)
      This paper explores the application development phases of the online version of Cow Herd Appraisal Performance Software (CHAPS). Beef producers and Extension professionals have been using CHAPS since 1985 as a herd management ...

    • Chatting with Confidence: A Review on the Impact of User Interface, Trust, and User Experience in Chatbots, and a Proposal of a Redesigned Prototype 

      Tamimi, Arin (North Dakota State University, 2023)
      As artificial intelligence (AI) becomes more prevalent in our daily lives, trust has become a critical issue in ensuring that AI systems are reliable, ethical, and beneficial to society. This paper explores the role of ...

    • Chemical Compound Classification Ensemble 

      Zhu, Ya (North Dakota State University, 2013)
      In the research of health science, scientists often need to screen numerous chemical compounds to find drugs that can treat a disease. The process of testing the functionality of these compounds in the laboratory is very ...

    • A Circle-Geocaching Game Based on Classified Specimens 

      Agasaladinni Reddy, Prabhakara Reddy (North Dakota State University, 2018)
      This paper describes a CIRCLE-Geocaching extensible system played for the purpose of rehearsal learning. The system operates over a classification tree built by an instructor or a group of students engaged in classification, ...

    • Classification Algorithms Applied to a Brain Computer Interface System Based On P300 

      Gaur, Himanshu (North Dakota State University, 2017)
      A BCI or Brain Computer Interface is defined as a method of communication that converts neural activities generated by brain of living being (without the use of peripheral muscles and nerves) into computer commands or other ...

    • Classification of LiDar Data Using Window-Based Techniques 

      Li, Shuhang (North Dakota State University, 2016)
      Given LiDAR maps, we focus on identifying anthropologically relevant ditches automatically on the map. Archeologists can identify these features visually at the site, but approaches based on remotely sensed data would be ...

    • Classifying Gene Coexpression Networks Using Discrimination Pattern Mining 

      Qormosh, Bassam M M (North Dakota State University, 2016)
      Several algorithms for graph classi cation have been proposed. Algorithms that map graphs into feature vectors encoding the presence/absence of speci c subgraphs, have shown excellent performance. Most of the existing ...

    • A Closed Form Optimization Model for The Conflict Neutralization Problem 

      Wang, Yan (North Dakota State University, 2010)
      In this study, we proposed a novel closed form optimization model for the Conflict Neutralization Problem (CKP) and implemented an efficient algorithm for solving the problem. A novel tableau representation of the CNP ...

    • A Clustering Approach to Improving Test Case Prioritization: An Industrial Case Study 

      Carlson, Ryan Curtis (North Dakota State University, 2010)
      Regression testing is an important activity for controlling the quality of a software product, but it accounts for a large proportion of the costs of software. We believe that an understanding of the underlying relationships ...