Browsing Computer Science by Title
Now showing items 256-275 of 408
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Multi-Teacher Knowledge Distillation Using Teacher's Domain Expertise
(North Dakota State University, 2022)Large BERT models cannot be used with low computing power and storage capacity. Knowledge Distillation solves this problem by distilling knowledge into a smaller BERT model while retaining much of the teacher’s accuracy ... -
Multi-Variate Attribute Selection for Agricultural Data
(North Dakota State University, 2015)Farmers always have been concerned about the quantity of crops (yield) as well as the quality of crops (sugar content of the sugar beets). The quality and quantity of crops are affected by various attributes, some are ... -
N-gram-based Search Procedure
(North Dakota State University, 2009)Efficient querying and discovery of meaningful patterns in data becomes more and more important with accelerating growth of data published every day on the Internet. Tree pruning-based algorithms used in most popular ... -
Naïve Bayes Classifier: A MapReduce Approach
(North Dakota State University, 2014)Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been ... -
NDSU Scholar: Application to Search Articles Relevant to a Research Problem
(North Dakota State University, 2015)Because of recent development in the field of computers, there has been substantial growth in the field of online education that varies from online tutors to electronic research papers. Now days, a student can find almost ... -
A Network Optimization Solver for Routing in Wireless Sensor Networks
(North Dakota State University, 2010)Many wireless sensor network applications require energy efficient communication between nodes in the network. Sensor networks are of limited resources. Due to this limitation, the routing between the nodes is one of the ... -
Neutralization of Conflict Areas Using an Ant Colony Heuristic Approach
(North Dakota State University, 2010)In this paper, we present a unique approach to solve the Neutralization of Conflict Areas problem using an Ant Colony Optimization technique. The Neutralization of Conflict Areas is a known problem, and over the years, ... -
A New Coupling Metric: Combining Structural and Semantic Relationships
(North Dakota State University, 2014)Maintaining object-oriented software is problematic and expensive. Earlier research has revealed that complex relationships among object-oriented software entities are key reasons that make maintenance costly. Therefore, ... -
A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning
(North Dakota State University, 2021)Lysine post-translational modification (PTM) plays a vital role in modulating multiple biological processes and functions. Lab-based lysine PTM identification is laborious and time-consuming, which impede large-scale ... -
Next Location Prediction Model: A Geohashed Based Recurrent Neural Network
(North Dakota State University, 2021)This work investigates the significance of choosing appropriate recurrent neural networks (RNNs) architecture for a spatiotemporal next location prediction framework. Dockless shared micro-mobility sharing programs provide ... -
Noise Removal from Attribute-Groups for Classification
(North Dakota State University, 2013)In this work, we present a novel algorithm that considers attributes from different experimental sources as separate groups for the purpose of classification. We remove noise from each of these groups, combine them, and ... -
Novel Techniques Using Graph Neural Networks (GNNS) for Anomaly Detection
(North Dakota State University, 2023)This paper explores 2 new mechanisms that leverage graphs for anomaly detection. The novelty in approach one is to leverage the global attention capability of transformer architecture using a Graph Attention Network (GAT) ... -
Object Classification Using Stacked Autoencoder and Convolutional Neural Network
(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, ... -
On the Applicability of Deep Metric Learning to Address Source Code Authorship Attribution Problem under Simulated Real-world Constraints
(North Dakota State University, 2020)Source code authorship attribution is a widely studied research topic in the information security domain. In this dissertation, we develop and evaluate models that enable us to solve source code authorship attribution using ... -
Online Defect Tracking System
(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 ... -
Online Shopping Cart Application
(North Dakota State University, 2013)Electronic commerce, also known as ecommerce is a type of industry where buying and selling of a product is conducted over electronic systems such as the internet. The purpose of this application is to bring knowledge to ... -
Optimal Placement of Relay Stations in Wireless Sensor Networks
(North Dakota State University, 2013)Wireless sensor networks (WSNs) are a collection of nodes organized into a cooperative network with sensing, processing and transmitting capabilities. WSNs are becoming an increasingly prominent technology that can be used ... -
Optimization and Heuristic Facility Location Algorithms for the Smart Grid
(North Dakota State University, 2013)One of the most crucial aspects in maintaining a smart grid Network is to monitor its stability, control and minimize the outages, blackouts etc. which can be achieved by Phasor Measurement Units (PMUs). Despite having a ... -
Optimization Modeling for Wireless Sensor Scheduling
(North Dakota State University, 2013)Wireless sensor networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. The efficiency ... -
Optimization of Benchmark Functions using Chemical Reaction Optimization
(North Dakota State University, 2013)In recent past, many new nature-inspired optimization techniques have been emerged in the field of science and engineering that have proven to be efficient to solve optimization problems. One such method that makes use of ...