Computer Science: Recent submissions

Now showing items 161-180 of 409

    • Comparison of RNN, LSTM and GRU on Speech Recognition Data 

      Shewalkar, Apeksha Nagesh (North Dakota State University, 2018)
      Deep Learning [DL] provides an efficient way to train Deep Neural Networks [DNN]. DDNs when used for end-to-end Automatic Speech Recognition [ASR] tasks, could produce more accurate results compared to traditional ASR. ...

    • Mining Structure Patterns Based on 3D Features in the Protein-DNA and Protein-protein Complex 

      Sun, Qing (North Dakota State University, 2018)
      For a long time, researchers have been searching for the “recognition codes” of protein complexes, which determine what DNA sequence or other protein a protein can bind to. The binding part prediction of protein complexes ...

    • Effective Regression Testing of Web Applications through Reusability of Resources 

      Eda, Madhusudana Ravi (North Dakota State University, 2018)
      Regression testing is one of the most important and costly phases of a software development project. Regression testing is performed to ensure no new faults are introduced due to changes in a software. Web applications ...

    • Performance Comparison of Apache Spark MLlib 

      Sharma, Pallavi (North Dakota State University, 2018)
      This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ...

    • Vector-Item Pattern Mining Algorithms and their Applications 

      Wu, Jianfei (North Dakota State University, 2011)
      Advances in storage technology have long been driving the need for new data mining techniques. Not only are typical data sets becoming larger, but the diversity of available attributes is increasing in many problem domains. ...

    • Multi-Style Web Content Restructuring for Efficient Mobile Web Browsing 

      Xia, Xiaojun (North Dakota State University, 2011)
      Mobile devices such as smart phones, PDAs, and tablets are getting more and more popular every day. As a result, more people tend to use mobile devices to access Web contents. Therefore, mobile browsing becomes an important ...

    • 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 ...

    • Stock Price Prediction Using Recurrent Neural Networks 

      Jahan, Israt (North Dakota State University, 2018)
      The stock market is generally very unpredictable in nature. There are many factors that might be responsible to determine the price of a particular stock such as the market trend, supply and demand ratio, global economy, ...

    • Deception in Cyberspace: Con-Man Attack in Cloud Services 

      Chowdhury, Md. Minhaz (North Dakota State University, 2018)
      A con-man deception appears in services from cyberspace, e.g., in cloud services. A cloud-service provider deceives by repeatedly providing less service than promised and deliberately avoids service monitoring. Such a ...

    • In Memory Computation of Glowworm Swarm Optimization Applied to Multimodal Functions Using Apache Spark 

      Miryala, Goutham (North Dakota State University, 2018)
      Glowworm Swarm Optimization (GSO) is one of the optimization techniques, which need to be parallelized in order to evaluate large problems with high-dimensional function spaces. There are various issues involved in the ...

    • Using Human Error Models to Improve the Quality of Software Requirements 

      Anu, Vaibhav Kumar (North Dakota State University, 2018)
      Creating high quality software is a primary concern for software development organizations. Researchers have devoted considerable effort in developing quality improvement methods that help software engineers detect faults ...

    • Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks 

      Dayananda, Karanam Ravichandran (North Dakota State University, 2018)
      A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy ...

    • Scalable Algorithms for Mining Maximal Quasi Frequent Subnetworks 

      El Radie, Eihab Salah (North Dakota State University, 2018)
      Frequent graph mining has received considerable attention from researchers. Existing algorithms for frequent subgraph mining do not scale for large networks, and take hours to finish. Mining multiple gene coexpressions ...

    • Context Specific Module Mining from Multiple Co-Expression Graph 

      Hossain, Md Shakhawat (North Dakota State University, 2017)
      Gene co-expression networks can be used to associate genes of unknown function with biological processes or to find genes in a specific context, environment responsible for a disease. We provide an overview of methods and ...

    • Association Rule Mining of Biological Field Data Sets 

      Shrestha, Anuj (North Dakota State University, 2017)
      Association rule mining is an important data mining technique, yet, its use in association analysis of biological data sets has been limited. This mining technique was applied on two biological data sets, a genome and a ...

    • Scheduling Smart Home Appliances using Goal Programming with Priority 

      Bu, Honggang (North Dakota State University, 2016)
      Driven by the advancement of smart electrical grid technologies, automated home energy management systems are being increasingly and extensively studied, developed, and widely accepted. A system like this is indispensable ...

    • Light Weight Health Application for Low End Cell Phones 

      Emamian, Peyman (North Dakota State University, 2016)
      Health applications are usually complicated and low end devices do not benefit from them. The focus of this thesis is on expandable health services platform for low end cell phones. Large number of mobile phones in the ...

    • Comparison between Symfony, ASP.NET MVC, And Node.js Express for Web Development 

      Mao, Xiaoli (North Dakota State University, 2018)
      Web development technologies have been developing tremendously in recent years. While new technologies such as Node.js come with various frameworks, traditional technologies such as ASP.NET and PHP are also being used with ...

    • 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 ...

    • Agent Based Modeling for Simulation of Microbial Community 

      Tekeste, Noah Daniel (North Dakota State University, 2018)
      Agent based modeling uses interacting agents and a governing rule to understand a complex phenomenon. It is an important mode of inquiry in the field of life sciences. For this paper a Haploid Evolutionary Constructor (HEC) ...