Now showing items 111-130 of 245

    • Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach 

      Li, Xin (North Dakota State University, 2018)
      Deep learning has yielded immense success on many different scenarios. With the success in other real world application, it has been applied into big medical data. However, discovering knowledge from these data can be very ...
    • Historical Analysis and Estimation Tool for Energy Trading 

      Sambaraju, Sharath Chandra (North Dakota State University, 2014)
      Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree ...
    • Image Classification Using Transfer Learning and Convolution Neural Networks 

      Burugupalli, Mohan (North Dakota State University, 2020)
      In the recent years, deep learning has shown to have a formidable impact on image classification and has bolstered the advances in machine learning research. The scope of image recognition is going to bring big changes in ...
    • Image Correction using Reed Muller Code 

      Ginjupalli, Siva Krishna (North Dakota State University, 2013)
      Image signal processing is one of the important aspects while communicating from long distances. Background noise of images is one of the primary concerns in obtaining clear accurate images. This problem is further amplified ...
    • Implementation and Evaluation of CMA-ES Algorithm 

      Gagganapalli, Srikanth Reddy (North Dakota State University, 2015)
      Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical ...
    • 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 ...
    • Implementation of a GIS with Analytics for Pollution Data 

      Rastogi, Aakanksha (North Dakota State University, 2015)
      Particulate matter called pm2.5 refers to harmful microscopic liquid or solid matter of diameter 2.5 microns suspended in the air. To effectively analyze and visualize data for pollution category pm2.5, a Geographic ...
    • Implementation of a Medical Decision Making Tool 

      Gadiparthi, Sudheer (North Dakota State University, 2014)
      Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation ...
    • Implementation of Multilevel Thresholding Based Ant Colony Optimization Algorithm for Edge Detection of Images 

      Kanajal Chandrakanth, Spoorthy (North Dakota State University, 2017)
      Edges in an image characterize object boundaries in an image, which is helpful in image processing and feature extraction in a particular scene. One of the methods used to detect edges in an image is image thresholding, ...
    • Implementation of Weighted Centroid Neural Network for Edge Preserving Image Compression 

      Depa, Amarender Reddy (North Dakota State University, 2017)
      Image compression is a type of data compression applied to images. The objective of image compression is to reduce the cost for storage or transmission. Image compression is associated with removing redundant information ...
    • An Improved Modular Framework for Developing Multi-Surface Interaction 

      Limke, Jed Patrick (North Dakota State University, 2016)
      Advances in multi-touch capabilities have led to their use in a vast array of devices, but usable interactions that span across devices are less frequently encountered. To address this concern, a framework was created for ...
    • Improving Usability in ‘CIRCLE’ 

      Peruri, Alekya (North Dakota State University, 2016)
      This paper describes how the System Usability Scale (SUS) has helped in improving and making a software tool called the Classification, Identification, and Retrieval-based Collaborative Learning Environment (CIRCLE) more ...
    • The Insurance Manager - Mobile Application 

      Sharma, Aditi (North Dakota State University, 2017)
      People buy several expensive products with the insurance whether it is a Camera, Phone, Television etc. Insurance usually comes with an end date and other important information like: Product Name, Vendor Name, Price of the ...
    • An Interactive System for Cow Herd Performance 

      Hossain, Naqib (North Dakota State University, 2019)
      This paper explores the application-development phases for the Cow Herd Appraisal of Performance System (CHAPS). In 1985, North Dakota State University’s Dickinson Research Extension Center and the North Dakota Beef Cattle ...
    • An Interactive Visualization System for a Multi-Level View of Opinion Mining Results 

      Chitkara, Karan (North Dakota State University, 2014)
      Products are purchased and sold on a daily basis and people tend to critique on products they purchase. Those who want to buy a product will read reviews on that product given by others before buying; likewise those who ...
    • Investigating Super Learner on Healthcare Data Sets 

      Rahman, Humaira (North Dakota State University, 2021)
      In the field of machine learning, classification is the essential task that predicts the target class or label for each sample in the data. Improving the performance of a classification model has been a challenging research ...
    • Investigating the Defect Patterns during the Software Development Projects 

      Poudyal, Abhaya (North Dakota State University, 2014)
      With the growing software industry and our dependency on complex software applications, it is vital that the software is free of faults. The objective of my study is to, identify and classify the most common type of defects ...
    • Investigating the Use of Model-Based Method for Improving the Quality of Natural Language Requirements: A Controlled Empirical Study 

      Gupta, Munmun (North Dakota State University, 2014)
      Requirement engineering is a critical phase in software development that describes the customer needs and specifications for the software. Requirements are gathered through various sources and documented for a software ...
    • Investigation of Strength Pareto Evolutionary Algorithm 

      Kakarlapudi, Madhumitha (North Dakota State University, 2019)
      The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...
    • ISO Analyzer and Reporting System 

      Yarram, Vishnu Vardhanna Reddy (North Dakota State University, 2013)
      This paper describes the development of a GUI-based application program called the ISO Analyzer and Reporting System. The Independent System Operator (ISO) Analyzer and Reporting System facilitates the study of electricity ...