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You searched for +publisher:"Kennesaw State University" +contributor:("Dr. Selena He"). Showing records 1 – 5 of 5 total matches.

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Kennesaw State University

1. Bantupalli, Kshitij. American Sign Language Recognition Using Machine Learning and Computer Vision.

Degree: MSCS, Computer Science, 2019, Kennesaw State University

  Speech impairment is a disability which affects an individual’s ability to communicate using speech and hearing. People who are affected by this use other… (more)

Subjects/Keywords: machine learning; computer vision; neural network; Robotics

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

APA (6th Edition):

Bantupalli, K. (2019). American Sign Language Recognition Using Machine Learning and Computer Vision. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/21

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bantupalli, Kshitij. “American Sign Language Recognition Using Machine Learning and Computer Vision.” 2019. Thesis, Kennesaw State University. Accessed December 13, 2019. https://digitalcommons.kennesaw.edu/cs_etd/21.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bantupalli, Kshitij. “American Sign Language Recognition Using Machine Learning and Computer Vision.” 2019. Web. 13 Dec 2019.

Vancouver:

Bantupalli K. American Sign Language Recognition Using Machine Learning and Computer Vision. [Internet] [Thesis]. Kennesaw State University; 2019. [cited 2019 Dec 13]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/21.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bantupalli K. American Sign Language Recognition Using Machine Learning and Computer Vision. [Thesis]. Kennesaw State University; 2019. Available from: https://digitalcommons.kennesaw.edu/cs_etd/21

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kennesaw State University

2. Lim, Albert. Fit Buddy Prototype and KSUGo Mobile App.

Degree: 2018, Kennesaw State University

  The purpose of my Honors Capstone project is to deliver a mobile app prototype that is focused on improving the student experience at Kennesaw(more)

Subjects/Keywords: android app; prototype; invision; android studio; KSU app; sketch; Computer Sciences; Software Engineering

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

APA (6th Edition):

Lim, A. (2018). Fit Buddy Prototype and KSUGo Mobile App. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/honors_etd/17

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lim, Albert. “Fit Buddy Prototype and KSUGo Mobile App.” 2018. Thesis, Kennesaw State University. Accessed December 13, 2019. https://digitalcommons.kennesaw.edu/honors_etd/17.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lim, Albert. “Fit Buddy Prototype and KSUGo Mobile App.” 2018. Web. 13 Dec 2019.

Vancouver:

Lim A. Fit Buddy Prototype and KSUGo Mobile App. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2019 Dec 13]. Available from: https://digitalcommons.kennesaw.edu/honors_etd/17.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lim A. Fit Buddy Prototype and KSUGo Mobile App. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/honors_etd/17

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kennesaw State University

3. Jackson, Deja. IoT Voice, Gesture & Application Control System: Proof of Concept Implementation.

Degree: 2018, Kennesaw State University

  Internet of Things (IoT) technology is an ever-growing field in today’s day and age. IoT enables the connection of several devices to a network,… (more)

Subjects/Keywords: IoT; Machine Learning; Andriod

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

APA (6th Edition):

Jackson, D. (2018). IoT Voice, Gesture & Application Control System: Proof of Concept Implementation. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/honors_etd/19

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jackson, Deja. “IoT Voice, Gesture & Application Control System: Proof of Concept Implementation.” 2018. Thesis, Kennesaw State University. Accessed December 13, 2019. https://digitalcommons.kennesaw.edu/honors_etd/19.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jackson, Deja. “IoT Voice, Gesture & Application Control System: Proof of Concept Implementation.” 2018. Web. 13 Dec 2019.

Vancouver:

Jackson D. IoT Voice, Gesture & Application Control System: Proof of Concept Implementation. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2019 Dec 13]. Available from: https://digitalcommons.kennesaw.edu/honors_etd/19.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jackson D. IoT Voice, Gesture & Application Control System: Proof of Concept Implementation. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/honors_etd/19

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kennesaw State University

4. Kamdem Teto, Joel. AUTOMATIC IDENTIFICATION OF ANIMALS IN THE WILD: A COMPARATIVE STUDY BETWEEN C-CAPSULE NETWORKS AND DEEP CONVOLUTIONAL NEURAL NETWORKS.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  The evolution of machine learning and computer vision in technology has driven a lot of improvements and innovation into several domains. We see it… (more)

Subjects/Keywords: Computer Vision; Machine Learning; Big Data; Ecosystem; Deep learning.; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing; Other Animal Sciences; Other Computer Engineering

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

APA (6th Edition):

Kamdem Teto, J. (2018). AUTOMATIC IDENTIFICATION OF ANIMALS IN THE WILD: A COMPARATIVE STUDY BETWEEN C-CAPSULE NETWORKS AND DEEP CONVOLUTIONAL NEURAL NETWORKS. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/20

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kamdem Teto, Joel. “AUTOMATIC IDENTIFICATION OF ANIMALS IN THE WILD: A COMPARATIVE STUDY BETWEEN C-CAPSULE NETWORKS AND DEEP CONVOLUTIONAL NEURAL NETWORKS.” 2018. Thesis, Kennesaw State University. Accessed December 13, 2019. https://digitalcommons.kennesaw.edu/cs_etd/20.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kamdem Teto, Joel. “AUTOMATIC IDENTIFICATION OF ANIMALS IN THE WILD: A COMPARATIVE STUDY BETWEEN C-CAPSULE NETWORKS AND DEEP CONVOLUTIONAL NEURAL NETWORKS.” 2018. Web. 13 Dec 2019.

Vancouver:

Kamdem Teto J. AUTOMATIC IDENTIFICATION OF ANIMALS IN THE WILD: A COMPARATIVE STUDY BETWEEN C-CAPSULE NETWORKS AND DEEP CONVOLUTIONAL NEURAL NETWORKS. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2019 Dec 13]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/20.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kamdem Teto J. AUTOMATIC IDENTIFICATION OF ANIMALS IN THE WILD: A COMPARATIVE STUDY BETWEEN C-CAPSULE NETWORKS AND DEEP CONVOLUTIONAL NEURAL NETWORKS. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/20

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kennesaw State University

5. patel, Nidhi. An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  Evaluation of traditional classroom has led to electronic classroom i.e. e-learning. Growth of traditional classroom doesn’t stop at e-learning or distance learning. Next step… (more)

Subjects/Keywords: Raspberry Pi; Image to text conversion; Convolution Neural Network; Computer vision; Hand Gesture recognition; Digital Circuits; Digital Communications and Networking; Hardware Systems

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

APA (6th Edition):

patel, N. (2018). An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/13

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

patel, Nidhi. “An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition.” 2018. Thesis, Kennesaw State University. Accessed December 13, 2019. https://digitalcommons.kennesaw.edu/cs_etd/13.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

patel, Nidhi. “An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition.” 2018. Web. 13 Dec 2019.

Vancouver:

patel N. An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2019 Dec 13]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/13.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

patel N. An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/13

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.