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You searched for +publisher:"Colorado School of Mines" +contributor:("Camp, Tracy"). Showing records 1 – 22 of 22 total matches.

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Colorado School of Mines

1. Jackson, Ryan Blake. Machine learning for encrypted Amazon Echo traffic classification.

Degree: MS(M.S.), Computer Science, 2018, Colorado School of Mines

 As smart speakers like the Amazon Echo become more popular, they have given rise to rampant concerns regarding user privacy. This work investigates machine learning… (more)

Subjects/Keywords: supervised classification; machine learning

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APA (6th Edition):

Jackson, R. B. (2018). Machine learning for encrypted Amazon Echo traffic classification. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172223

Chicago Manual of Style (16th Edition):

Jackson, Ryan Blake. “Machine learning for encrypted Amazon Echo traffic classification.” 2018. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/172223.

MLA Handbook (7th Edition):

Jackson, Ryan Blake. “Machine learning for encrypted Amazon Echo traffic classification.” 2018. Web. 08 May 2021.

Vancouver:

Jackson RB. Machine learning for encrypted Amazon Echo traffic classification. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/172223.

Council of Science Editors:

Jackson RB. Machine learning for encrypted Amazon Echo traffic classification. [Masters Thesis]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172223


Colorado School of Mines

2. Tran, Nhan. Exploring mixed reality robot communication under different types of mental workload.

Degree: MS(M.S.), Computer Science, 2020, Colorado School of Mines

 Research has shown that the use of physical deictic gestures such as pointing and presenting by robots enables more effective and natural human-robot interaction. However,… (more)

Subjects/Keywords: augmented reality; human-robot interaction; AR/VR; mixed reality; human-computer interaction

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APA (6th Edition):

Tran, N. (2020). Exploring mixed reality robot communication under different types of mental workload. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174146

Chicago Manual of Style (16th Edition):

Tran, Nhan. “Exploring mixed reality robot communication under different types of mental workload.” 2020. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/174146.

MLA Handbook (7th Edition):

Tran, Nhan. “Exploring mixed reality robot communication under different types of mental workload.” 2020. Web. 08 May 2021.

Vancouver:

Tran N. Exploring mixed reality robot communication under different types of mental workload. [Internet] [Masters thesis]. Colorado School of Mines; 2020. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/174146.

Council of Science Editors:

Tran N. Exploring mixed reality robot communication under different types of mental workload. [Masters Thesis]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174146


Colorado School of Mines

3. Gonzalez, Santiago. Improving time synchronization protocols in wireless sensor networks.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2015, Colorado School of Mines

 As the world moves towards greater ubiquity of wireless sensor networks, the need for lightweight, resilient time synchronization protocols is apparent. Wireless nodes' internal clocks… (more)

Subjects/Keywords: analysis; networking; protocols; time synchronization; wireless sensor networks; wireless systems

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APA (6th Edition):

Gonzalez, S. (2015). Improving time synchronization protocols in wireless sensor networks. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/166688

Chicago Manual of Style (16th Edition):

Gonzalez, Santiago. “Improving time synchronization protocols in wireless sensor networks.” 2015. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/166688.

MLA Handbook (7th Edition):

Gonzalez, Santiago. “Improving time synchronization protocols in wireless sensor networks.” 2015. Web. 08 May 2021.

Vancouver:

Gonzalez S. Improving time synchronization protocols in wireless sensor networks. [Internet] [Masters thesis]. Colorado School of Mines; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/166688.

Council of Science Editors:

Gonzalez S. Improving time synchronization protocols in wireless sensor networks. [Masters Thesis]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/166688


Colorado School of Mines

4. Johnson, C. Travis. Using passive seismic data from multiple sensors for predicting earth dam and levee erosion.

Degree: MS(M.S.), Computer Science, 2017, Colorado School of Mines

 Earth dams and levees support industrial applications, flood defense, and irrigation infrastructure around the world. These structures naturally undergo erosion over time and massive erosion… (more)

Subjects/Keywords: earth dams; structural health monitoring; machine learning; anomaly detection

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APA (6th Edition):

Johnson, C. T. (2017). Using passive seismic data from multiple sensors for predicting earth dam and levee erosion. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172047

Chicago Manual of Style (16th Edition):

Johnson, C Travis. “Using passive seismic data from multiple sensors for predicting earth dam and levee erosion.” 2017. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/172047.

MLA Handbook (7th Edition):

Johnson, C Travis. “Using passive seismic data from multiple sensors for predicting earth dam and levee erosion.” 2017. Web. 08 May 2021.

Vancouver:

Johnson CT. Using passive seismic data from multiple sensors for predicting earth dam and levee erosion. [Internet] [Masters thesis]. Colorado School of Mines; 2017. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/172047.

Council of Science Editors:

Johnson CT. Using passive seismic data from multiple sensors for predicting earth dam and levee erosion. [Masters Thesis]. Colorado School of Mines; 2017. Available from: http://hdl.handle.net/11124/172047


Colorado School of Mines

5. Li, Ming. Security and privacy on smartphones: a sensing approach.

Degree: PhD, Computer Science, 2020, Colorado School of Mines

 The technological advancements have made smartphones an indispensable component of our daily lives. Security and privacy (S&P) on smartphones has thus become an important research… (more)

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APA (6th Edition):

Li, M. (2020). Security and privacy on smartphones: a sensing approach. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174214

Chicago Manual of Style (16th Edition):

Li, Ming. “Security and privacy on smartphones: a sensing approach.” 2020. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/174214.

MLA Handbook (7th Edition):

Li, Ming. “Security and privacy on smartphones: a sensing approach.” 2020. Web. 08 May 2021.

Vancouver:

Li M. Security and privacy on smartphones: a sensing approach. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2020. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/174214.

Council of Science Editors:

Li M. Security and privacy on smartphones: a sensing approach. [Doctoral Dissertation]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174214


Colorado School of Mines

6. Adkins, Michael H. Quality-aware voice convergecast in mobile low power wireless networks.

Degree: MS(M.S.), Computer Science, 2017, Colorado School of Mines

 Several recent disasters have shown the critical need for reliable voice communication for mobile users. Low power ad hoc wireless networks have become a promising… (more)

Subjects/Keywords: MANET; voice streaming; mobile adhoc networks; computer networking

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APA (6th Edition):

Adkins, M. H. (2017). Quality-aware voice convergecast in mobile low power wireless networks. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170975

Chicago Manual of Style (16th Edition):

Adkins, Michael H. “Quality-aware voice convergecast in mobile low power wireless networks.” 2017. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/170975.

MLA Handbook (7th Edition):

Adkins, Michael H. “Quality-aware voice convergecast in mobile low power wireless networks.” 2017. Web. 08 May 2021.

Vancouver:

Adkins MH. Quality-aware voice convergecast in mobile low power wireless networks. [Internet] [Masters thesis]. Colorado School of Mines; 2017. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/170975.

Council of Science Editors:

Adkins MH. Quality-aware voice convergecast in mobile low power wireless networks. [Masters Thesis]. Colorado School of Mines; 2017. Available from: http://hdl.handle.net/11124/170975


Colorado School of Mines

7. Uligere Narasimhamurthy, Adithya. Performance analysis of wireless sensor networks in geophysical sensing applications.

Degree: MS(M.S.), Electrical Engineering and Computer Sciences, 2016, Colorado School of Mines

 Performance is an important criteria to consider before switching from a wired network to a wireless sensing network. Performance is especially important in geophysical sensing… (more)

Subjects/Keywords: geophysical sensing; wireless sensor networks

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APA (6th Edition):

Uligere Narasimhamurthy, A. (2016). Performance analysis of wireless sensor networks in geophysical sensing applications. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170150

Chicago Manual of Style (16th Edition):

Uligere Narasimhamurthy, Adithya. “Performance analysis of wireless sensor networks in geophysical sensing applications.” 2016. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/170150.

MLA Handbook (7th Edition):

Uligere Narasimhamurthy, Adithya. “Performance analysis of wireless sensor networks in geophysical sensing applications.” 2016. Web. 08 May 2021.

Vancouver:

Uligere Narasimhamurthy A. Performance analysis of wireless sensor networks in geophysical sensing applications. [Internet] [Masters thesis]. Colorado School of Mines; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/170150.

Council of Science Editors:

Uligere Narasimhamurthy A. Performance analysis of wireless sensor networks in geophysical sensing applications. [Masters Thesis]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170150


Colorado School of Mines

8. Kennicutt, Stephen D. Assessing middle-school teachers' attitudes and usage of CS Unplugged.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2016, Colorado School of Mines

 Computer Science (CS) Unplugged is a set of activities that allow students to explore computer science concepts without using a computer. Prior research on the… (more)

Subjects/Keywords: CS Unplugged; middle school; education; computer science

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APA (6th Edition):

Kennicutt, S. D. (2016). Assessing middle-school teachers' attitudes and usage of CS Unplugged. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170651

Chicago Manual of Style (16th Edition):

Kennicutt, Stephen D. “Assessing middle-school teachers' attitudes and usage of CS Unplugged.” 2016. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/170651.

MLA Handbook (7th Edition):

Kennicutt, Stephen D. “Assessing middle-school teachers' attitudes and usage of CS Unplugged.” 2016. Web. 08 May 2021.

Vancouver:

Kennicutt SD. Assessing middle-school teachers' attitudes and usage of CS Unplugged. [Internet] [Masters thesis]. Colorado School of Mines; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/170651.

Council of Science Editors:

Kennicutt SD. Assessing middle-school teachers' attitudes and usage of CS Unplugged. [Masters Thesis]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170651


Colorado School of Mines

9. Langewisch, John. Designing a social website to encourage networking among women students at conferences.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2013, Colorado School of Mines

 The percentage of women participating in computer science has been disturbingly low, and the number of computer and information science degrees earned by women has… (more)

Subjects/Keywords: conferences; women; website; social network; networking; College students; Congresses and conventions; Women  – Social networks  – Evaluation; Women in computer science; Communication and technology

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APA (6th Edition):

Langewisch, J. (2013). Designing a social website to encourage networking among women students at conferences. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/79465

Chicago Manual of Style (16th Edition):

Langewisch, John. “Designing a social website to encourage networking among women students at conferences.” 2013. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/79465.

MLA Handbook (7th Edition):

Langewisch, John. “Designing a social website to encourage networking among women students at conferences.” 2013. Web. 08 May 2021.

Vancouver:

Langewisch J. Designing a social website to encourage networking among women students at conferences. [Internet] [Masters thesis]. Colorado School of Mines; 2013. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/79465.

Council of Science Editors:

Langewisch J. Designing a social website to encourage networking among women students at conferences. [Masters Thesis]. Colorado School of Mines; 2013. Available from: http://hdl.handle.net/11124/79465


Colorado School of Mines

10. Rodriguez, Brandon R. Assessing computational thinking in Computer Science Unplugged activities.

Degree: MS(M.S.), Electrical Engineering and Computer Sciences, 2015, Colorado School of Mines

 There is very little research on assessing computational thinking without using a programming language, despite the wide adoption of activities that teach these concepts without… (more)

Subjects/Keywords: bloom; primary school; unplugged

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APA (6th Edition):

Rodriguez, B. R. (2015). Assessing computational thinking in Computer Science Unplugged activities. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/169998

Chicago Manual of Style (16th Edition):

Rodriguez, Brandon R. “Assessing computational thinking in Computer Science Unplugged activities.” 2015. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/169998.

MLA Handbook (7th Edition):

Rodriguez, Brandon R. “Assessing computational thinking in Computer Science Unplugged activities.” 2015. Web. 08 May 2021.

Vancouver:

Rodriguez BR. Assessing computational thinking in Computer Science Unplugged activities. [Internet] [Masters thesis]. Colorado School of Mines; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/169998.

Council of Science Editors:

Rodriguez BR. Assessing computational thinking in Computer Science Unplugged activities. [Masters Thesis]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/169998


Colorado School of Mines

11. Robison, Kolten. Developing a social network to increase involvement in a computer science academic community.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2015, Colorado School of Mines

 In order to address a lack of involvement and participation by computer science (CS) students in their academic communities, CS CONNECT, a social networking site… (more)

Subjects/Keywords: academic participation; community involvement; connect; content contribution; social network; women in computer science

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APA (6th Edition):

Robison, K. (2015). Developing a social network to increase involvement in a computer science academic community. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170001

Chicago Manual of Style (16th Edition):

Robison, Kolten. “Developing a social network to increase involvement in a computer science academic community.” 2015. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/170001.

MLA Handbook (7th Edition):

Robison, Kolten. “Developing a social network to increase involvement in a computer science academic community.” 2015. Web. 08 May 2021.

Vancouver:

Robison K. Developing a social network to increase involvement in a computer science academic community. [Internet] [Masters thesis]. Colorado School of Mines; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/170001.

Council of Science Editors:

Robison K. Developing a social network to increase involvement in a computer science academic community. [Masters Thesis]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/170001


Colorado School of Mines

12. Maher, James I. Improved tunneling knowledge through robust machine learning.

Degree: PhD, Electrical Engineering and Computer Science, 2015, Colorado School of Mines

 Earth Pressure Balance Machines (EPBMs) are essential equipment for excavating and constructing underground tunnels in urban environments with soft ground conditions. As examples, EPBMs are… (more)

Subjects/Keywords: deep learning; recurrent neural networks; underground tunneling; machine learning; anomaly detection; robust feature selection

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APA (6th Edition):

Maher, J. I. (2015). Improved tunneling knowledge through robust machine learning. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/20158

Chicago Manual of Style (16th Edition):

Maher, James I. “Improved tunneling knowledge through robust machine learning.” 2015. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/20158.

MLA Handbook (7th Edition):

Maher, James I. “Improved tunneling knowledge through robust machine learning.” 2015. Web. 08 May 2021.

Vancouver:

Maher JI. Improved tunneling knowledge through robust machine learning. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2015. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/20158.

Council of Science Editors:

Maher JI. Improved tunneling knowledge through robust machine learning. [Doctoral Dissertation]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/20158


Colorado School of Mines

13. Han, Fei. Representation learning for long-term collaborative autonomy.

Degree: PhD, Computer Science, 2018, Colorado School of Mines

 Autonomy has attracted a lot of research attention over the past few decades, since it is the key capability of all autonomous systems, including unmanned… (more)

Subjects/Keywords: long-term autonomy; robotic perception; representation learning; collaborative autonomy

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APA (6th Edition):

Han, F. (2018). Representation learning for long-term collaborative autonomy. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172260

Chicago Manual of Style (16th Edition):

Han, Fei. “Representation learning for long-term collaborative autonomy.” 2018. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/172260.

MLA Handbook (7th Edition):

Han, Fei. “Representation learning for long-term collaborative autonomy.” 2018. Web. 08 May 2021.

Vancouver:

Han F. Representation learning for long-term collaborative autonomy. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2018. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/172260.

Council of Science Editors:

Han F. Representation learning for long-term collaborative autonomy. [Doctoral Dissertation]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172260


Colorado School of Mines

14. Sanders, Matthew W. Automated methods for generating least privilege access control policies.

Degree: PhD, Computer Science, 2019, Colorado School of Mines

 Access controls are the processes and mechanisms that allow only authorized users to perform operations upon the resources of a system. Using access controls, administrators… (more)

Subjects/Keywords: cloud computing; least privilege; information security; access control

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APA (6th Edition):

Sanders, M. W. (2019). Automated methods for generating least privilege access control policies. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173028

Chicago Manual of Style (16th Edition):

Sanders, Matthew W. “Automated methods for generating least privilege access control policies.” 2019. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/173028.

MLA Handbook (7th Edition):

Sanders, Matthew W. “Automated methods for generating least privilege access control policies.” 2019. Web. 08 May 2021.

Vancouver:

Sanders MW. Automated methods for generating least privilege access control policies. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/173028.

Council of Science Editors:

Sanders MW. Automated methods for generating least privilege access control policies. [Doctoral Dissertation]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173028


Colorado School of Mines

15. Rubin, Marc J. Efficient and automatic wireless geohazard monitoring.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Colorado School of Mines

 In this dissertation, we present our research contributions geared towards creating an automated and efficient wireless sensor network (WSN) for geohazard monitoring. Specifically, this dissertation… (more)

Subjects/Keywords: wireless sensor network; avalanche; pattern recognition; lossy compression; compressive sensing; seismic; Avalanches  – Forecasting; Wireless sensor networks; Pattern recognition systems; Machine learning; Hazard mitigation; Communication in science

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APA (6th Edition):

Rubin, M. J. (2014). Efficient and automatic wireless geohazard monitoring. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/10629

Chicago Manual of Style (16th Edition):

Rubin, Marc J. “Efficient and automatic wireless geohazard monitoring.” 2014. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/10629.

MLA Handbook (7th Edition):

Rubin, Marc J. “Efficient and automatic wireless geohazard monitoring.” 2014. Web. 08 May 2021.

Vancouver:

Rubin MJ. Efficient and automatic wireless geohazard monitoring. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2014. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/10629.

Council of Science Editors:

Rubin MJ. Efficient and automatic wireless geohazard monitoring. [Doctoral Dissertation]. Colorado School of Mines; 2014. Available from: http://hdl.handle.net/11124/10629


Colorado School of Mines

16. Brown, Thomas. Design and analysis of a computer science social networking application to broaden participation in computing.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2014, Colorado School of Mines

 The number of women in the field of computer science remains low both in industry and academic environments. Occupational statistics and degree information indicate that… (more)

Subjects/Keywords: women in computing; social networks; connect; Women computer scientists  – Social networks; Web applications; Social surveys; Women in computer science; Communication and technology

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APA (6th Edition):

Brown, T. (2014). Design and analysis of a computer science social networking application to broaden participation in computing. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/471

Chicago Manual of Style (16th Edition):

Brown, Thomas. “Design and analysis of a computer science social networking application to broaden participation in computing.” 2014. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/471.

MLA Handbook (7th Edition):

Brown, Thomas. “Design and analysis of a computer science social networking application to broaden participation in computing.” 2014. Web. 08 May 2021.

Vancouver:

Brown T. Design and analysis of a computer science social networking application to broaden participation in computing. [Internet] [Masters thesis]. Colorado School of Mines; 2014. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/471.

Council of Science Editors:

Brown T. Design and analysis of a computer science social networking application to broaden participation in computing. [Masters Thesis]. Colorado School of Mines; 2014. Available from: http://hdl.handle.net/11124/471


Colorado School of Mines

17. Aberle, Lauren. Designing an interface to improve the rehabilitation process for knee surgery patients.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2014, Colorado School of Mines

 Knee surgery patients often go through an extensive knee rehabilitation program that requires both clinic visits with a physical therapist and prescribed at home exercises;… (more)

Subjects/Keywords: goal setting; wearable devices; user interface design; physical therapy; human-computer interaction; Physical therapy  – Technological innovations; Medical rehabilitation  – Technological innovations; Knee  – Surgery  – Patients  – Rehabilitation; User interfaces (Computer systems); Communication in rehabilitation

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APA (6th Edition):

Aberle, L. (2014). Designing an interface to improve the rehabilitation process for knee surgery patients. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/434

Chicago Manual of Style (16th Edition):

Aberle, Lauren. “Designing an interface to improve the rehabilitation process for knee surgery patients.” 2014. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/434.

MLA Handbook (7th Edition):

Aberle, Lauren. “Designing an interface to improve the rehabilitation process for knee surgery patients.” 2014. Web. 08 May 2021.

Vancouver:

Aberle L. Designing an interface to improve the rehabilitation process for knee surgery patients. [Internet] [Masters thesis]. Colorado School of Mines; 2014. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/434.

Council of Science Editors:

Aberle L. Designing an interface to improve the rehabilitation process for knee surgery patients. [Masters Thesis]. Colorado School of Mines; 2014. Available from: http://hdl.handle.net/11124/434


Colorado School of Mines

18. Hakkarinen, Douglas. Parallelization and fault tolerance supporting near-real-time data processing for bioremediation.

Degree: PhD, Electrical Engineering and Computer Sciences, 2013, Colorado School of Mines

 The push toward interdisciplinary research has expanded the interactions and complexity of research tasks. In the course of this dissertation, we explore three separate, but… (more)

Subjects/Keywords: broader impacts criterion; algorithmic based fault tolerance; open source software; fault tolerance; high performance computing; diskless checkpointing; Fault tolerance (Engineering); Bioremediation  – Research; High performance computing

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APA (6th Edition):

Hakkarinen, D. (2013). Parallelization and fault tolerance supporting near-real-time data processing for bioremediation. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/78737

Chicago Manual of Style (16th Edition):

Hakkarinen, Douglas. “Parallelization and fault tolerance supporting near-real-time data processing for bioremediation.” 2013. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/78737.

MLA Handbook (7th Edition):

Hakkarinen, Douglas. “Parallelization and fault tolerance supporting near-real-time data processing for bioremediation.” 2013. Web. 08 May 2021.

Vancouver:

Hakkarinen D. Parallelization and fault tolerance supporting near-real-time data processing for bioremediation. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2013. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/78737.

Council of Science Editors:

Hakkarinen D. Parallelization and fault tolerance supporting near-real-time data processing for bioremediation. [Doctoral Dissertation]. Colorado School of Mines; 2013. Available from: http://hdl.handle.net/11124/78737


Colorado School of Mines

19. Stone, Kerri A. Network support for earthen embankment dam monitoring using wireless sensor networks.

Degree: PhD, Electrical Engineering and Computer Science, 2013, Colorado School of Mines

 Current dam monitoring practices result in a long lag time between the start of internal erosion and its detection. This long lag time precipitates expensive,… (more)

Subjects/Keywords: wireless sensor network; geolocation; received signal strength indicator; location; localization; wireless sensing; Earth dams; Wireless sensor networks; Dam failures  – Prevention; Signal processing

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APA (6th Edition):

Stone, K. A. (2013). Network support for earthen embankment dam monitoring using wireless sensor networks. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/79370

Chicago Manual of Style (16th Edition):

Stone, Kerri A. “Network support for earthen embankment dam monitoring using wireless sensor networks.” 2013. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/79370.

MLA Handbook (7th Edition):

Stone, Kerri A. “Network support for earthen embankment dam monitoring using wireless sensor networks.” 2013. Web. 08 May 2021.

Vancouver:

Stone KA. Network support for earthen embankment dam monitoring using wireless sensor networks. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2013. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/79370.

Council of Science Editors:

Stone KA. Network support for earthen embankment dam monitoring using wireless sensor networks. [Doctoral Dissertation]. Colorado School of Mines; 2013. Available from: http://hdl.handle.net/11124/79370


Colorado School of Mines

20. Duarte Dantas Lisbôa Mota, Oscar Thyago José. Extracting and modeling commuting networks from social media communication.

Degree: PhD, Electrical Engineering and Computer Science, 2016, Colorado School of Mines

 Commuting networks describe the flows of individuals from one location to another. These networks are present in many different application scenarios, including traffic modeling, infrastructure… (more)

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APA (6th Edition):

Duarte Dantas Lisbôa Mota, O. T. J. (2016). Extracting and modeling commuting networks from social media communication. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170018

Chicago Manual of Style (16th Edition):

Duarte Dantas Lisbôa Mota, Oscar Thyago José. “Extracting and modeling commuting networks from social media communication.” 2016. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/170018.

MLA Handbook (7th Edition):

Duarte Dantas Lisbôa Mota, Oscar Thyago José. “Extracting and modeling commuting networks from social media communication.” 2016. Web. 08 May 2021.

Vancouver:

Duarte Dantas Lisbôa Mota OTJ. Extracting and modeling commuting networks from social media communication. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/170018.

Council of Science Editors:

Duarte Dantas Lisbôa Mota OTJ. Extracting and modeling commuting networks from social media communication. [Doctoral Dissertation]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170018


Colorado School of Mines

21. Krohne, Edward W. Progress routing: removing beacon packets in geographic routing protocols.

Degree: MS(M.S.), Mathematical and Computer Science, 2008, Colorado School of Mines

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APA (6th Edition):

Krohne, E. W. (2008). Progress routing: removing beacon packets in geographic routing protocols. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/78549

Chicago Manual of Style (16th Edition):

Krohne, Edward W. “Progress routing: removing beacon packets in geographic routing protocols.” 2008. Masters Thesis, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/78549.

MLA Handbook (7th Edition):

Krohne, Edward W. “Progress routing: removing beacon packets in geographic routing protocols.” 2008. Web. 08 May 2021.

Vancouver:

Krohne EW. Progress routing: removing beacon packets in geographic routing protocols. [Internet] [Masters thesis]. Colorado School of Mines; 2008. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/78549.

Council of Science Editors:

Krohne EW. Progress routing: removing beacon packets in geographic routing protocols. [Masters Thesis]. Colorado School of Mines; 2008. Available from: http://hdl.handle.net/11124/78549

22. Fisher, Wendy D. Machine learning for the automatic detection of anomalous events.

Degree: PhD, Computer Science, 2017, Colorado School of Mines

 In this dissertation, we describe our research contributions for a novel approach to the application of machine learning for the automatic detection of anomalous events.… (more)

Subjects/Keywords: BSR detection; machine learning; earth dam and levee; anomaly detection

…former M.S. student, at the Colorado School of Mines, for their assistance in collecting the… 

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APA (6th Edition):

Fisher, W. D. (2017). Machine learning for the automatic detection of anomalous events. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170968

Chicago Manual of Style (16th Edition):

Fisher, Wendy D. “Machine learning for the automatic detection of anomalous events.” 2017. Doctoral Dissertation, Colorado School of Mines. Accessed May 08, 2021. http://hdl.handle.net/11124/170968.

MLA Handbook (7th Edition):

Fisher, Wendy D. “Machine learning for the automatic detection of anomalous events.” 2017. Web. 08 May 2021.

Vancouver:

Fisher WD. Machine learning for the automatic detection of anomalous events. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2017. [cited 2021 May 08]. Available from: http://hdl.handle.net/11124/170968.

Council of Science Editors:

Fisher WD. Machine learning for the automatic detection of anomalous events. [Doctoral Dissertation]. Colorado School of Mines; 2017. Available from: http://hdl.handle.net/11124/170968

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