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You searched for +publisher:"Colorado School of Mines" +contributor:("Zhang, Hao"). Showing records 1 – 21 of 21 total matches.

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Colorado School of Mines

1. Limpiyapirom, Narongchai. Improvement of features extraction of time series dataset by using autoencoder.

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

 In this research, we studied how to extract features vector from the Multivariate Time Series dataset (MTS) by using various types of Autoencoder. Do the… (more)

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APA (6th Edition):

Limpiyapirom, N. (2020). Improvement of features extraction of time series dataset by using autoencoder. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/175326

Chicago Manual of Style (16th Edition):

Limpiyapirom, Narongchai. “Improvement of features extraction of time series dataset by using autoencoder.” 2020. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/175326.

MLA Handbook (7th Edition):

Limpiyapirom, Narongchai. “Improvement of features extraction of time series dataset by using autoencoder.” 2020. Web. 16 Apr 2021.

Vancouver:

Limpiyapirom N. Improvement of features extraction of time series dataset by using autoencoder. [Internet] [Masters thesis]. Colorado School of Mines; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/175326.

Council of Science Editors:

Limpiyapirom N. Improvement of features extraction of time series dataset by using autoencoder. [Masters Thesis]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/175326


Colorado School of Mines

2. 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 April 16, 2021. http://hdl.handle.net/11124/174214.

MLA Handbook (7th Edition):

Li, Ming. “Security and privacy on smartphones: a sensing approach.” 2020. Web. 16 Apr 2021.

Vancouver:

Li M. Security and privacy on smartphones: a sensing approach. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2020. [cited 2021 Apr 16]. 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

3. Zhu, Lixiao. Effects of proactive explanations by autonomous systems on human-robot trust.

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

 Human-Robot Interaction (HRI) seeks understanding, designing, and evaluating of robots for human-robot teams. Previous research has indicated that the performance of human-robot teams depends on… (more)

Subjects/Keywords: human-robot trust; human-robot interaction; proactive explanations

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APA (6th Edition):

Zhu, L. (2020). Effects of proactive explanations by autonomous systems on human-robot trust. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174193

Chicago Manual of Style (16th Edition):

Zhu, Lixiao. “Effects of proactive explanations by autonomous systems on human-robot trust.” 2020. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/174193.

MLA Handbook (7th Edition):

Zhu, Lixiao. “Effects of proactive explanations by autonomous systems on human-robot trust.” 2020. Web. 16 Apr 2021.

Vancouver:

Zhu L. Effects of proactive explanations by autonomous systems on human-robot trust. [Internet] [Masters thesis]. Colorado School of Mines; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/174193.

Council of Science Editors:

Zhu L. Effects of proactive explanations by autonomous systems on human-robot trust. [Masters Thesis]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174193


Colorado School of Mines

4. Li, Ming. Spectrum monitoring in cognitive radio networks: a game-theoretical approach.

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

 Opportunistic spectrum access is a great way to improve the spectrum utilization, but it also generates spectrum misuse problems. We employ limited number of monitors… (more)

Subjects/Keywords: switching cost; spectrum monitoring; multi-armed bandit problem; cognitive radio networks; Cognitive radio networks; Algorithms; Algorithms  – Evaluation; Game theory

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APA (6th Edition):

Li, M. (2015). Spectrum monitoring in cognitive radio networks: a game-theoretical approach. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17147

Chicago Manual of Style (16th Edition):

Li, Ming. “Spectrum monitoring in cognitive radio networks: a game-theoretical approach.” 2015. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/17147.

MLA Handbook (7th Edition):

Li, Ming. “Spectrum monitoring in cognitive radio networks: a game-theoretical approach.” 2015. Web. 16 Apr 2021.

Vancouver:

Li M. Spectrum monitoring in cognitive radio networks: a game-theoretical approach. [Internet] [Masters thesis]. Colorado School of Mines; 2015. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/17147.

Council of Science Editors:

Li M. Spectrum monitoring in cognitive radio networks: a game-theoretical approach. [Masters Thesis]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/17147


Colorado School of Mines

5. Burmeister, Joshua. Anticipation guided proactive intention prediction for assistive robots.

Degree: MS(M.S.), Mechanical Engineering, 2017, Colorado School of Mines

 When a person is performing a task, a human observer usually makes guesses about the person's intent by considering his/her own past experiences. Humans often… (more)

Subjects/Keywords: assistive robots; machine learning; intention prediction; anticipation

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APA (6th Edition):

Burmeister, J. (2017). Anticipation guided proactive intention prediction for assistive robots. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170681

Chicago Manual of Style (16th Edition):

Burmeister, Joshua. “Anticipation guided proactive intention prediction for assistive robots.” 2017. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/170681.

MLA Handbook (7th Edition):

Burmeister, Joshua. “Anticipation guided proactive intention prediction for assistive robots.” 2017. Web. 16 Apr 2021.

Vancouver:

Burmeister J. Anticipation guided proactive intention prediction for assistive robots. [Internet] [Masters thesis]. Colorado School of Mines; 2017. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/170681.

Council of Science Editors:

Burmeister J. Anticipation guided proactive intention prediction for assistive robots. [Masters Thesis]. Colorado School of Mines; 2017. Available from: http://hdl.handle.net/11124/170681


Colorado School of Mines

6. Reily, Brian J. Human activity recognition and gymnastics analysis through depth imagery.

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

 Depth imagery is transforming many areas of computer vision, such as object recognition, human detection, human activity recognition, and sports analysis. The goal of my… (more)

Subjects/Keywords: activity prediction; activity recognition; depth imagery; gymnastics; image segmentation

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APA (6th Edition):

Reily, B. J. (2016). Human activity recognition and gymnastics analysis through depth imagery. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170153

Chicago Manual of Style (16th Edition):

Reily, Brian J. “Human activity recognition and gymnastics analysis through depth imagery.” 2016. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/170153.

MLA Handbook (7th Edition):

Reily, Brian J. “Human activity recognition and gymnastics analysis through depth imagery.” 2016. Web. 16 Apr 2021.

Vancouver:

Reily BJ. Human activity recognition and gymnastics analysis through depth imagery. [Internet] [Masters thesis]. Colorado School of Mines; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/170153.

Council of Science Editors:

Reily BJ. Human activity recognition and gymnastics analysis through depth imagery. [Masters Thesis]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170153


Colorado School of Mines

7. Lin, Jian. Privacy and security in crowdsensing.

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

 The rapid proliferation of sensor-embedded devices has enabled crowdsensing, a new paradigm which effectively collects sensing data from pervasive users. However, both the openness of… (more)

Subjects/Keywords: incentive mechanism; Sybil attack; inference attack; crowdsensing

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APA (6th Edition):

Lin, J. (2019). Privacy and security in crowdsensing. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173985

Chicago Manual of Style (16th Edition):

Lin, Jian. “Privacy and security in crowdsensing.” 2019. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/173985.

MLA Handbook (7th Edition):

Lin, Jian. “Privacy and security in crowdsensing.” 2019. Web. 16 Apr 2021.

Vancouver:

Lin J. Privacy and security in crowdsensing. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/173985.

Council of Science Editors:

Lin J. Privacy and security in crowdsensing. [Doctoral Dissertation]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173985


Colorado School of Mines

8. Zhang, Yuhui. Spectrum auctions under physical interference model.

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

 Spectrum auctions provide a platform for licensed spectrum users to share their underutilized spectrum with unlicensed users. Existing spectrum auctions either use the protocol interference… (more)

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APA (6th Edition):

Zhang, Y. (2016). Spectrum auctions under physical interference model. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170308

Chicago Manual of Style (16th Edition):

Zhang, Yuhui. “Spectrum auctions under physical interference model.” 2016. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/170308.

MLA Handbook (7th Edition):

Zhang, Yuhui. “Spectrum auctions under physical interference model.” 2016. Web. 16 Apr 2021.

Vancouver:

Zhang Y. Spectrum auctions under physical interference model. [Internet] [Masters thesis]. Colorado School of Mines; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/170308.

Council of Science Editors:

Zhang Y. Spectrum auctions under physical interference model. [Masters Thesis]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170308


Colorado School of Mines

9. Lesak, Mark C. Odometry for autonomous navigation in GPS denied environments.

Degree: MS(M.S.), Mechanical Engineering, 2019, Colorado School of Mines

 The mining industry is dangerous and puts human lives at risk daily, including hazardous environments such as: poor air quality due to gas leaks and… (more)

Subjects/Keywords: ego-motion estimation; odometry; robotics; LiDAR; continuous-time; Range Flow

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APA (6th Edition):

Lesak, M. C. (2019). Odometry for autonomous navigation in GPS denied environments. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173044

Chicago Manual of Style (16th Edition):

Lesak, Mark C. “Odometry for autonomous navigation in GPS denied environments.” 2019. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/173044.

MLA Handbook (7th Edition):

Lesak, Mark C. “Odometry for autonomous navigation in GPS denied environments.” 2019. Web. 16 Apr 2021.

Vancouver:

Lesak MC. Odometry for autonomous navigation in GPS denied environments. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/173044.

Council of Science Editors:

Lesak MC. Odometry for autonomous navigation in GPS denied environments. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173044


Colorado School of Mines

10. Liu, Rui. Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A.

Degree: PhD, Mechanical Engineering, 2018, Colorado School of Mines

 Human-centered environment, which is defined by robots, human, and environmental conditions, is a key part of robot task executions. Accurate understanding of human-centered environment is… (more)

Subjects/Keywords: cognitive robotics; environment adaptation; robot learning; decision making; artificial intelligence; human-robot interaction

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APA (6th Edition):

Liu, R. (2018). Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172274

Chicago Manual of Style (16th Edition):

Liu, Rui. “Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A.” 2018. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/172274.

MLA Handbook (7th Edition):

Liu, Rui. “Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A.” 2018. Web. 16 Apr 2021.

Vancouver:

Liu R. Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/172274.

Council of Science Editors:

Liu R. Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A. [Doctoral Dissertation]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172274


Colorado School of Mines

11. Osterhout, Samuel. Design, assembly, programming, and testing of triaxially-nested Helmholtz coils, The.

Degree: MS(M.S.), Mechanical Engineering, 2018, Colorado School of Mines

 This thesis entails the full development and testing of tri-axially nested square Helmholtz coils. A novel geometric approach is presented which enables the reader to… (more)

Subjects/Keywords: gradient; homogeneous; magnetism; Helmholtz; field; magnetic

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APA (6th Edition):

Osterhout, S. (2018). Design, assembly, programming, and testing of triaxially-nested Helmholtz coils, The. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172404

Chicago Manual of Style (16th Edition):

Osterhout, Samuel. “Design, assembly, programming, and testing of triaxially-nested Helmholtz coils, The.” 2018. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/172404.

MLA Handbook (7th Edition):

Osterhout, Samuel. “Design, assembly, programming, and testing of triaxially-nested Helmholtz coils, The.” 2018. Web. 16 Apr 2021.

Vancouver:

Osterhout S. Design, assembly, programming, and testing of triaxially-nested Helmholtz coils, The. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/172404.

Council of Science Editors:

Osterhout S. Design, assembly, programming, and testing of triaxially-nested Helmholtz coils, The. [Masters Thesis]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172404


Colorado School of Mines

12. Saadatzi, Mohammadhossein. Combined simulation of musculoskeletal biomechanics and exoskeletons.

Degree: PhD, Mechanical Engineering, 2018, Colorado School of Mines

 Wearable robots are becoming increasingly common, in both research laboratories and the industry, due to their significant potential benefits in rehabilitation engineering, assistive robotics, ergonomics,… (more)

Subjects/Keywords: bipedal walking; passive exoskeletons; wearable robots; metabolic energy expenditure; biomechanics; predictive simulation

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APA (6th Edition):

Saadatzi, M. (2018). Combined simulation of musculoskeletal biomechanics and exoskeletons. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172541

Chicago Manual of Style (16th Edition):

Saadatzi, Mohammadhossein. “Combined simulation of musculoskeletal biomechanics and exoskeletons.” 2018. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/172541.

MLA Handbook (7th Edition):

Saadatzi, Mohammadhossein. “Combined simulation of musculoskeletal biomechanics and exoskeletons.” 2018. Web. 16 Apr 2021.

Vancouver:

Saadatzi M. Combined simulation of musculoskeletal biomechanics and exoskeletons. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/172541.

Council of Science Editors:

Saadatzi M. Combined simulation of musculoskeletal biomechanics and exoskeletons. [Doctoral Dissertation]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172541


Colorado School of Mines

13. Li, Songpo. Novel intuitive human-robot interaction using 3D gaze.

Degree: PhD, Mechanical Engineering, 2017, Colorado School of Mines

 Human-centered robotics has become a new trend in robotic research in which robots closely work around humans or even directly/indirectly make contact with humans. Human-centered… (more)

Subjects/Keywords: assistive robot; human-robot interaction; 3D gaze; intention awareness; attention awareness

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APA (6th Edition):

Li, S. (2017). Novel intuitive human-robot interaction using 3D gaze. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170993

Chicago Manual of Style (16th Edition):

Li, Songpo. “Novel intuitive human-robot interaction using 3D gaze.” 2017. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/170993.

MLA Handbook (7th Edition):

Li, Songpo. “Novel intuitive human-robot interaction using 3D gaze.” 2017. Web. 16 Apr 2021.

Vancouver:

Li S. Novel intuitive human-robot interaction using 3D gaze. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2017. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/170993.

Council of Science Editors:

Li S. Novel intuitive human-robot interaction using 3D gaze. [Doctoral Dissertation]. Colorado School of Mines; 2017. Available from: http://hdl.handle.net/11124/170993


Colorado School of Mines

14. 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 April 16, 2021. http://hdl.handle.net/11124/172260.

MLA Handbook (7th Edition):

Han, Fei. “Representation learning for long-term collaborative autonomy.” 2018. Web. 16 Apr 2021.

Vancouver:

Han F. Representation learning for long-term collaborative autonomy. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2018. [cited 2021 Apr 16]. 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

15. Appapogu, Rahul Dev. Autonomous navigation in GPS denied environments using MPC and LQR with potential field based obstacle avoidance.

Degree: MS(M.S.), Mechanical Engineering, 2019, Colorado School of Mines

 Workers in mining industry are posed with hazardous environments due to the nature of the work inside a mine. Gas leaks, explosions, rock falls, entrapment,… (more)

Subjects/Keywords: linear quadratic regulator; obstacle avoidance; autonomous navigation; potential fields; model predictive control

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APA (6th Edition):

Appapogu, R. D. (2019). Autonomous navigation in GPS denied environments using MPC and LQR with potential field based obstacle avoidance. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172896

Chicago Manual of Style (16th Edition):

Appapogu, Rahul Dev. “Autonomous navigation in GPS denied environments using MPC and LQR with potential field based obstacle avoidance.” 2019. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/172896.

MLA Handbook (7th Edition):

Appapogu, Rahul Dev. “Autonomous navigation in GPS denied environments using MPC and LQR with potential field based obstacle avoidance.” 2019. Web. 16 Apr 2021.

Vancouver:

Appapogu RD. Autonomous navigation in GPS denied environments using MPC and LQR with potential field based obstacle avoidance. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/172896.

Council of Science Editors:

Appapogu RD. Autonomous navigation in GPS denied environments using MPC and LQR with potential field based obstacle avoidance. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/172896


Colorado School of Mines

16. Li, Shuang. Optimization for high-dimensional analysis and estimation in signal processing and machine learning.

Degree: PhD, Electrical Engineering, 2020, Colorado School of Mines

 High-dimensional signal analysis and estimation appears in many signal processing and machine learning applications, including modal analysis, airborne radar system demixing, parameter estimation in spectrally… (more)

Subjects/Keywords: signal processing; machine learning

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APA (6th Edition):

Li, S. (2020). Optimization for high-dimensional analysis and estimation in signal processing and machine learning. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174160

Chicago Manual of Style (16th Edition):

Li, Shuang. “Optimization for high-dimensional analysis and estimation in signal processing and machine learning.” 2020. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/174160.

MLA Handbook (7th Edition):

Li, Shuang. “Optimization for high-dimensional analysis and estimation in signal processing and machine learning.” 2020. Web. 16 Apr 2021.

Vancouver:

Li S. Optimization for high-dimensional analysis and estimation in signal processing and machine learning. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2020. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/174160.

Council of Science Editors:

Li S. Optimization for high-dimensional analysis and estimation in signal processing and machine learning. [Doctoral Dissertation]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174160


Colorado School of Mines

17. Zhao, Rui. Vulnerability exploration and data protection in end-user applications.

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

 Using different end-user applications on personal computers and mobile devices has become an integral part of our daily lives. For example, we use Web browsers… (more)

Subjects/Keywords: protection; vulnerability; security; applications

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APA (6th Edition):

Zhao, R. (2016). Vulnerability exploration and data protection in end-user applications. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170631

Chicago Manual of Style (16th Edition):

Zhao, Rui. “Vulnerability exploration and data protection in end-user applications.” 2016. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/170631.

MLA Handbook (7th Edition):

Zhao, Rui. “Vulnerability exploration and data protection in end-user applications.” 2016. Web. 16 Apr 2021.

Vancouver:

Zhao R. Vulnerability exploration and data protection in end-user applications. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/170631.

Council of Science Editors:

Zhao R. Vulnerability exploration and data protection in end-user applications. [Doctoral Dissertation]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170631


Colorado School of Mines

18. Liu, Kai. Study of non-negative matrix factorizations: foundations, methods, algorithms, and applications, A.

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

 Machine learning problems generally could be categorized into three: supervised, semi-supervised and unsupervised learning problems. In supervised learning problems, there are labels or output which… (more)

Subjects/Keywords: machine learning

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APA (6th Edition):

Liu, K. (2019). Study of non-negative matrix factorizations: foundations, methods, algorithms, and applications, A. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173252

Chicago Manual of Style (16th Edition):

Liu, Kai. “Study of non-negative matrix factorizations: foundations, methods, algorithms, and applications, A.” 2019. Doctoral Dissertation, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/173252.

MLA Handbook (7th Edition):

Liu, Kai. “Study of non-negative matrix factorizations: foundations, methods, algorithms, and applications, A.” 2019. Web. 16 Apr 2021.

Vancouver:

Liu K. Study of non-negative matrix factorizations: foundations, methods, algorithms, and applications, A. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/173252.

Council of Science Editors:

Liu K. Study of non-negative matrix factorizations: foundations, methods, algorithms, and applications, A. [Doctoral Dissertation]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173252

19. Zhang, Ziling. Applied machine learning for multi-sensory robot perception.

Degree: MS(M.S.), Computer Science, 2019, Colorado School of Mines

 In recent years, advances in autonomous robotics have begun to transform how we work and live. Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles are… (more)

Subjects/Keywords: machine learning; sensor fusion; multi-sensory perception; edge computing

…41 Figure 4.2 A spherical image captured in Colorado School of Mines… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, Z. (2019). Applied machine learning for multi-sensory robot perception. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174011

Chicago Manual of Style (16th Edition):

Zhang, Ziling. “Applied machine learning for multi-sensory robot perception.” 2019. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/174011.

MLA Handbook (7th Edition):

Zhang, Ziling. “Applied machine learning for multi-sensory robot perception.” 2019. Web. 16 Apr 2021.

Vancouver:

Zhang Z. Applied machine learning for multi-sensory robot perception. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/174011.

Council of Science Editors:

Zhang Z. Applied machine learning for multi-sensory robot perception. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/174011

20. Nahman, Zachary S. Robot learning for loop closure detection and SLAM.

Degree: MS(M.S.), Computer Science, 2019, Colorado School of Mines

 Robotics and autonomy continues to be a key research and development focus around the world. Robots are increasingly prevalent in everyday life. From manufacturing, home… (more)

Subjects/Keywords: loop closure detection; point clouds; SLAM; mapping; computer vision; robotics

…robot exploring Colorado School of Mines’ Brown Hall 2nd floor in a big loop. The data set… …Computer Science, Colorado School of Mines 2 Secondary researcher and author, Graduate Student… …Department of Computer Science, Colorado School of Mines 3 Assistant Professor, Department of… …Computer Science, Colorado School of Mines 11 using 3D point cloud data and is capable of… 

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APA (6th Edition):

Nahman, Z. S. (2019). Robot learning for loop closure detection and SLAM. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173999

Chicago Manual of Style (16th Edition):

Nahman, Zachary S. “Robot learning for loop closure detection and SLAM.” 2019. Masters Thesis, Colorado School of Mines. Accessed April 16, 2021. http://hdl.handle.net/11124/173999.

MLA Handbook (7th Edition):

Nahman, Zachary S. “Robot learning for loop closure detection and SLAM.” 2019. Web. 16 Apr 2021.

Vancouver:

Nahman ZS. Robot learning for loop closure detection and SLAM. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11124/173999.

Council of Science Editors:

Nahman ZS. Robot learning for loop closure detection and SLAM. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173999

21. 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 April 16, 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. 16 Apr 2021.

Vancouver:

Fisher WD. Machine learning for the automatic detection of anomalous events. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2017. [cited 2021 Apr 16]. 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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