• Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants 

  Zaman, Kimia Tuz (North Dakota State University, 2023)

  Picking the right food item from a restaurant menu can be challenging for people, specially for those who are unfamiliar with local cuisine and those with specific dietary requirements. Existing menus often lack essential ...

• Analysis of Image Classification Deep Learning Algorithm 

  Kanungo, Shivam (North Dakota State University, 2023)

  This study explores the use of TensorFlow 2 and Python for image classification problems. Image categorization is an important area in computer vision, with several real-world applications such as object identification/r ...

• Data Replication Strategies in Cloud Computing 

  Liu, Yang (North Dakota State University, 2011)

  Data replication is a widely used technique in various systems. For example, it can be employed in large-scale distributed file systems to increase data availability and system reliability, or it can be used in many network ...

• 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 ...

• Attacking the Messenger: Exploring the Security of Big Data Messenger Apache Kafka 

  Losinski, Tyler (North Dakota State University, 2021)

  As technology becomes faster, cheaper, and more compact, a higher volume of data must be processed. This demand drives the need to process high volumes of data in near real time. As a result, technologies such as Kafka ...

• A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning 

  Liu, Yuan (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 ...

• Decision-Making for Self-Replicating 3D Printed Robot Systems 

  Jones, Andrew Burkhard (North Dakota State University, 2021)

  This work addresses decision-making for robot systems that can self-replicate. With the advent of 3D printing technology, the development of self-replicating robot systems is more feasible to implement than it was previously. ...

• Addressing Challenges in Data Privacy and Security: Various Approaches to Secure Data 

  Pattanayak, Sayantica (North Dakota State University, 2021)

  Emerging neural networks based machine learning techniques such as deep learning and its variants have shown tremendous potential in many application domains. However, the neural network models raise serious privacy concerns ...

• Zero-Trust Architecture and Its Cost-Effectiveness on Network Security 

  Adahman, Zillah (North Dakota State University, 2022)

  Zero-Trust Architecture (ZTA) is a ‘Never Trust, Always Verify’ concept to improve cybersecurity by eliminating trust and validating network requests continuously. ZTA replaces Virtual Private Networks (VPNs) and provides ...

• Deep Learning Applied to Public Company Valuation for Value Investing 

  Haich, Abram Paul (North Dakota State University, 2021)

  Value investing is an investing approach that seeks to discover and take advantage of price discrepancies between the market price and the actual value of a company (intrinsic value). The purpose of this work is to measure ...

• Next Location Prediction Model: A Geohashed Based Recurrent Neural Network 

  Rahim Taleqani, Ali (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 ...

• Development of an Algorithm for Detection and Recovery of Corruption in Convolutional Neural Networks Data Storage 

  Ramzanpour, Mohammadreza (North Dakota State University, 2021)

  Computer vision based applications are commonly utilized in embedded systems. The demand for higher accuracy leads to increased complexity of convolutional neural networks (CNN) and hence, larger storage requirement for ...

• 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 ...

• Recommending Whom to Follow on GitHub 

  Sarwar, Muhammad Usman (North Dakota State University, 2021)

  Social networking activities on GitHub allow the construction of interesting interaction networks. One such network is `follow-network' which enables an effective information dissemination process. As a result, GitHub users ...

• Intrusion Detection With an Autoencoder and ANOVA Feature Selector 

  Satyal, Rashmi (North Dakota State University, 2021)

  Intrusion detection systems are systems that aim at identifying malicious activities or violation of policies in a network. The problem of high dimensionality in intrusion detection systems is a barrier in processing data ...

• Development and Validation of a Library for Iterative Window-Based Processing of Geospatial Data 

  Schwartz, David Michael (North Dakota State University, 2021)

  High-resolution spectral images and digital elevation models are widely available. With this quantity of data, it is imperative to develop fast algorithms to extract information. We present a Python library that implements ...

• Image Registration and Fusion Application 

  Singh, Shreya (North Dakota State University, 2021)

  Image Registration and Fusion is a process of manipulating two or more input images through a combination of geometric transformation operations and fusion rules to obtain the information from the input images into one ...

• Assessment of Engineering Methodologies for Increasing CubeSat Mission Success Rates 

  Alanazi, Abdulaziz (North Dakota State University, 2021)

  In the last twenty years, CubeSat Systems have gained popularity in educational institutions and commercial industries. CubeSats have attracted educators and manufacturers due to their ability to be quickly produced and ...

• Evaluating the Effectiveness of Music Recommendations Using Cosine Similarities of Various Combined Feature Sets Consisting of Metadata and User Generated Tags 

  Kumar, Shubhit (North Dakota State University, 2022)

  This paper aims to compare and evaluate the methods for recommending songs using metadata, user generated tags, metadata and tags, and metadata and top five tags. Recommendations are calculated using cosine similarities ...

• Comparative Analysis of Interface Usability for Cybersecurity Applications 

  Andrews, Wyly West (North Dakota State University, 2021)

  In cybersecurity, understanding the technologies and the best ways to interface with them is paramount for staying ahead of growing cyberthreats. Developers of cybersecurity software will benefit greatly from a greater ...

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