Computer Science: Recent submissions

Now showing items 261-280 of 416

    • Stock Prediction Analyzing Investor Sentiments 

      Chatterjee, Arijit (North Dakota State University, 2018)
      We are going through a phase of data evolution where a major portion of the data from our daily lives is now been stored on social media platforms. In recent years, social media has become ubiquitous and important for ...

    • Cognitive Heuristics in Software Engineering: Evaluating Confirmation Bias during Software Testing 

      Hegde, Shishir (North Dakota State University, 2017)
      Software engineering is a human centric activity and the thought processes of software engineers have influence on the quality of software products. Cognitive scientists have identified human errors known as cognitive ...

    • Teaching Software Testing Concepts Using Learning Objects 

      Simley, Judi Lynn (North Dakota State University, 2017)
      The ubiquitous nature of software, it is very important to prepare students for jobs in the software industry. There is a profound deficiency in testing skills in graduating students when beginning jobs in Information ...

    • Online Defect Tracking System 

      Soni, Gaurav (North Dakota State University, 2017)
      For Improving Software Reliability, Defect Tracking System (DTS) gives the facility to define the tasks and allow the managers to track the Defects and time spent by each employee for that particular task. This tool can ...

    • Automatic Conceptual Feedback on Software Tests 

      Kumar, Pranay (North Dakota State University, 2017)
      Students in introductory programming courses face many challenges. While the educators try their best to assist students with these challenges by adopting different approaches, majority of them end up overlooking the ...

    • Mining Quasi-Frequent Subnetworks in Graph Networks Using Edge-Edge Summary Graph 

      Dawar, Priyanka (North Dakota State University, 2017)
      In today’s computing world, graphs have become increasingly important in modeling sophisticated structures, entities and their interactions, with broad applications including Bioinformatics, Computer Vision, Web analysis ...

    • Consumer Sentiment Analysis Using Twitter 

      Rashid, Rumana (North Dakota State University, 2017)
      Sentiment analysis is the task of finding people’s opinions about specific objects/matters. Ordinary people’s opinions affect the decision-making process. Today, there is a massive explosion of “sentiments” available on ...

    • Efficient Mobile Information Sharing Through Finger Swipe 

      Hu, Ping (North Dakota State University, 2017)
      Smartphones have been pervasive in our daily life, and are now the dominant driver of social media. People post and access information on the social media through smartphones. In addition, users are likely to share information ...

    • Semantics-Based Calorie Calculator 

      Narra, Sravan Raghu Kumar (North Dakota State University, 2017)
      In recent years, people are considering healthy diet habits and many of them are trying to track and maintain their daily diet and consumption. To assist them, there are many applications available online and those ...

    • GPU Enabled Particle Swarm Optimization 

      Killada, Bala Venkata Rama Kishore (North Dakota State University, 2017)
      GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ...

    • Prediction of Rental Demand for a Bike-Share Program 

      Nekkanti, Om prakash (North Dakota State University, 2017)
      In recent years, bike-sharing programs have become more prevalent. Bicycle usage can be affected by different factors, such as nearby events, road closures, and on-campus traffic policies. The research presented here ...

    • Evaluating Fitness of Patch-Based Terrains in the Use of Video Games 

      Bhurale, Lohit (North Dakota State University, 2017)
      This paper deals with current an existing evolutionary algorithm used in procedural terrain generation content for video games which is gaining interest to lessen the development costs and meet desired user requirements ...

    • A Structural Metric Model to Predict the Complexity of Web Interfaces 

      Attaallah, Abdulaziz Ahmad (North Dakota State University, 2017)
      The complexity of web pages has been widely investigated. Many experimental studies used several metrics to measure certain aspects of the users, tasks or GUIs. In this research, we focusing on the visual structure of web ...

    • Dynamic Light Trail Construction in Wavelength Division Multiplexing (WDM) Optical Networks 

      Amuge, Betty Elizabeth (North Dakota State University, 2017)
      This paper addresses dynamic light trail construction issues in a WDM optical network. This construction was done with an objective to consume a minimum number of resources, such as, the number of free wavelengths, while ...

    • Signature Extraction from E-Mails 

      Muttineni, Divya (North Dakota State University, 2016)
      Detecting user identity information from the email is one of the predominant exploring topics in data mining. One approach is to extract signature from the body of emails. Those names are usually suitable for representing ...

    • Design and Evaluation of Two Hybrid Genome Assembly Approaches Using Illumina, Roche 454, and PacBio Datasets 

      Sun, Liren (North Dakota State University, 2016)
      The assembly of next-generation sequencing reads is one of the most challenging and important tasks in bioinformatics. There are many different types of assembly algorithms and programs that have been developed to assemble ...

    • Computing the Yield per Acre for a Given Field Using GIS Capabilities 

      Badu, Sadhana (North Dakota State University, 2016)
      Software tools and technologies, such as geographic information systems (GIS), are playing an important role in the field of agriculture. The capabilities of the open source GIS system GRASS are used to process LandSat ...

    • Disease Similarity Using Biological Module Dysregulation Profile 

      Zaman, Eshita (North Dakota State University, 2016)
      Diseases can be grouped according to phenotypic and genotypic similarities. Gene expression and micro-RNA data paved the way to look inside the genetic coding and classify diseases accurately. Modern system biology seeks ...

    • Development of Learning Objects For Teaching Software Testing Using a Cyber Learning Environment 

      Singh, Ashish Kumar (North Dakota State University, 2016)
      This paper is an attempt to extend the database of learning objects on WReSTT (Web Repository of Software Testing Tools) that students enrolled in programming courses can use to improve their understanding of testing ...

    • Object Classification Using Stacked Autoencoder and Convolutional Neural Network 

      Gottimukkula, Vijaya Chander Rao (North Dakota State University, 2016)
      In the recent years, deep learning has shown to have a formidable impact on object classification and has bolstered the advances in machine learning research. Many image datasets such as MNIST, CIFAR-10, SVHN, Imagenet, ...