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- Affinity propagation (1)
- Autonomous Vehicles Deep Learning End-to-End Robotics (1)
- BERT (1)
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- Chatbots in Education (1)
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- Classification (1)
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Articles 1 - 4 of 4
Full-Text Articles in Engineering
End-To-End Learning: Using Neural Networks For Vehicle Control And Obstacle Avoidance, Keith Russell
End-To-End Learning: Using Neural Networks For Vehicle Control And Obstacle Avoidance, Keith Russell
Honors College Theses
End to End learning is a method of deep learning which has been used to great effect to solve complex problems which would normally be performed by humans. Within this thesis, a neural network was created to mimic the steering patterns of humans in highway driving situations. A Turtlebot was used in place of a car and was tested within a laboratory on a closed loop track to drive within the lanes created for it. The network architecture was based on that of Nvidia’s model which was used for predicting steering angles of a vehicle. The network was successfully trained …
Eaglebot: A Chatbot Based Multi-Tier Question Answering System For Retrieving Answers From Heterogeneous Sources Using Bert, Muhammad Rana
Eaglebot: A Chatbot Based Multi-Tier Question Answering System For Retrieving Answers From Heterogeneous Sources Using Bert, Muhammad Rana
Electronic Theses and Dissertations
This paper proposes to tackle Question Answering on a specific domain by developing a multi-tier system using three different types of data storage for storing answers. For testing our system on University domain we have used extracted data from Georgia Southern University website. For the task of faster retrieval we have divided our answer data sources into three distinct types and utilized Dialogflow's Natural Language Understanding engine for route selection. We compared different word and sentence embedding techniques for making a semantic question search engine and BERT sentence embedding gave us the best result and for extracting answer from a …
Building A Classification Model Using Affinity Propagation, Christopher R. Klecker
Building A Classification Model Using Affinity Propagation, Christopher R. Klecker
Electronic Theses and Dissertations
Regular classification of data includes a training set and test set. For example for Naïve Bayes, Artificial Neural Networks, and Support Vector Machines, each classifier employs the whole training set to train itself. This thesis will explore the possibility of using a condensed form of the training set in order to get a comparable classification accuracy. The technique explored in this thesis will use a clustering algorithm to explore with data records can be labeled as exemplar, or a quality of multiple records. For example, is it possible to compress say 50 records into one single record? Can a single …
Hydrogen Fuel Cell Gasket Handling And Sorting With Machine Vision Integrated Dual Arm Robot, Devin C. Fowler
Hydrogen Fuel Cell Gasket Handling And Sorting With Machine Vision Integrated Dual Arm Robot, Devin C. Fowler
Electronic Theses and Dissertations
Recently demonstrated robotic assembling technologies for fuel cell stacks used fuel cell components manually pre-arranged in stacks (presenters), all oriented in the same position. Identifying the original orientation of fuel cell components and loading them in stacks for a subsequent automated assembly process is a difficult, repetitive work cycle which if done manually, deceives the advantages offered by automated fabrication technologies of fuel cell components and by robotic assembly processes. We present an innovative robotic technology which enables the integration of automated fabrication processes of fuel cell components with robotic assembly of fuel cell stacks into a fully automated fuel …