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You searched for +publisher:"Purdue University" +contributor:("Bradley S. Duerstock"). Showing records 1 – 5 of 5 total matches.

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Purdue University

1. Zhang, Ting. Multimodal perception of histological images for persons blind or visually impaired.

Degree: MSIE, Industrial Engineering, 2014, Purdue University

  Currently there is no suitable substitute technology to enable blind or visually impaired (BVI) people to interpret visual scientific data commonly generated during lab… (more)

Subjects/Keywords: Industrial Engineering

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

APA (6th Edition):

Zhang, T. (2014). Multimodal perception of histological images for persons blind or visually impaired. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/715

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):

Zhang, Ting. “Multimodal perception of histological images for persons blind or visually impaired.” 2014. Thesis, Purdue University. Accessed January 22, 2020. http://docs.lib.purdue.edu/open_access_theses/715.

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

MLA Handbook (7th Edition):

Zhang, Ting. “Multimodal perception of histological images for persons blind or visually impaired.” 2014. Web. 22 Jan 2020.

Vancouver:

Zhang T. Multimodal perception of histological images for persons blind or visually impaired. [Internet] [Thesis]. Purdue University; 2014. [cited 2020 Jan 22]. Available from: http://docs.lib.purdue.edu/open_access_theses/715.

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

Council of Science Editors:

Zhang T. Multimodal perception of histological images for persons blind or visually impaired. [Thesis]. Purdue University; 2014. Available from: http://docs.lib.purdue.edu/open_access_theses/715

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


Purdue University

2. Upadhyay, Harshal. ADAPTIVE GRAVITY BALANCING ARM SYSTEMS.

Degree: MSME, Mechanical Engineering, 2016, Purdue University

Upadhyay, Harshal. M.S.M.E., Purdue University, May 2016. Adaptive Gravity-Balancing Arm Systems. Major Professor: Justin Seipel, School of Mechanical Engineering. Advisors/Committee Members: JUSTIN E SEIPEL, BRADLEY S DUERSTOCK, ERIC A NAUMAN.

Subjects/Keywords: Assistive Robotics; Gravity balancing

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

APA (6th Edition):

Upadhyay, H. (2016). ADAPTIVE GRAVITY BALANCING ARM SYSTEMS. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/1206

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):

Upadhyay, Harshal. “ADAPTIVE GRAVITY BALANCING ARM SYSTEMS.” 2016. Thesis, Purdue University. Accessed January 22, 2020. https://docs.lib.purdue.edu/open_access_theses/1206.

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

MLA Handbook (7th Edition):

Upadhyay, Harshal. “ADAPTIVE GRAVITY BALANCING ARM SYSTEMS.” 2016. Web. 22 Jan 2020.

Vancouver:

Upadhyay H. ADAPTIVE GRAVITY BALANCING ARM SYSTEMS. [Internet] [Thesis]. Purdue University; 2016. [cited 2020 Jan 22]. Available from: https://docs.lib.purdue.edu/open_access_theses/1206.

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

Council of Science Editors:

Upadhyay H. ADAPTIVE GRAVITY BALANCING ARM SYSTEMS. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/1206

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


Purdue University

3. Walls, Michael Kelso. A Rat Model Of Mild Blast-Induced Head Trauma With Structural And Biochemical Abnormalities In The Absence Of Motor Deficits.

Degree: MS, Basic Medical Sciences, 2014, Purdue University

  Blast injury has been coined the "signature injury of the Iraq war" resulting in a surge of interest in understanding and addressing the corresponding… (more)

Subjects/Keywords: Biological sciences; Psychology; Acrolein; Behavior; Biomarker; Blast injury; Neurotrauma; Oxidative stress; Cognitive Psychology

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APA (6th Edition):

Walls, M. K. (2014). A Rat Model Of Mild Blast-Induced Head Trauma With Structural And Biochemical Abnormalities In The Absence Of Motor Deficits. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/279

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):

Walls, Michael Kelso. “A Rat Model Of Mild Blast-Induced Head Trauma With Structural And Biochemical Abnormalities In The Absence Of Motor Deficits.” 2014. Thesis, Purdue University. Accessed January 22, 2020. http://docs.lib.purdue.edu/open_access_theses/279.

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

MLA Handbook (7th Edition):

Walls, Michael Kelso. “A Rat Model Of Mild Blast-Induced Head Trauma With Structural And Biochemical Abnormalities In The Absence Of Motor Deficits.” 2014. Web. 22 Jan 2020.

Vancouver:

Walls MK. A Rat Model Of Mild Blast-Induced Head Trauma With Structural And Biochemical Abnormalities In The Absence Of Motor Deficits. [Internet] [Thesis]. Purdue University; 2014. [cited 2020 Jan 22]. Available from: http://docs.lib.purdue.edu/open_access_theses/279.

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

Council of Science Editors:

Walls MK. A Rat Model Of Mild Blast-Induced Head Trauma With Structural And Biochemical Abnormalities In The Absence Of Motor Deficits. [Thesis]. Purdue University; 2014. Available from: http://docs.lib.purdue.edu/open_access_theses/279

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


Purdue University

4. Bercich, Rebecca A. Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device.

Degree: PhD, Biomedical Engineering, 2016, Purdue University

  Neuromuscular diseases manifest by a handful of known phenotypes affecting the peripheral nerves, skeletal muscle fibers, and neuromuscular junction. Common signs of these diseases… (more)

Subjects/Keywords: Applied sciences; Bioelectric; Neuromuscular diseases; Recording device; Stimulation; Wireless recording device; Biomedical Engineering and Bioengineering

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

APA (6th Edition):

Bercich, R. A. (2016). Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/621

Chicago Manual of Style (16th Edition):

Bercich, Rebecca A. “Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device.” 2016. Doctoral Dissertation, Purdue University. Accessed January 22, 2020. https://docs.lib.purdue.edu/open_access_dissertations/621.

MLA Handbook (7th Edition):

Bercich, Rebecca A. “Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device.” 2016. Web. 22 Jan 2020.

Vancouver:

Bercich RA. Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Jan 22]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/621.

Council of Science Editors:

Bercich RA. Improving the mechanistic study of neuromuscular diseases through the development of a fully wireless and implantable recording device. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/621

5. Dundar, Aysegul. Learning from minimally labeled data with accelerated convolutional neural networks.

Degree: PhD, Biomedical Engineering, 2016, Purdue University

  The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an image as an input and correctly classifies… (more)

Subjects/Keywords: Applied sciences; Artificial vision; Convolutional neural networks; Deep learning; Embedded systems; Neural networks; Computer Sciences; Electrical and Computer Engineering

…Matching Ratio xv ABSTRACT Dundar, Aysegul Ph.D., Purdue University, May 2016. Learning from… 

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

APA (6th Edition):

Dundar, A. (2016). Learning from minimally labeled data with accelerated convolutional neural networks. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/641

Chicago Manual of Style (16th Edition):

Dundar, Aysegul. “Learning from minimally labeled data with accelerated convolutional neural networks.” 2016. Doctoral Dissertation, Purdue University. Accessed January 22, 2020. https://docs.lib.purdue.edu/open_access_dissertations/641.

MLA Handbook (7th Edition):

Dundar, Aysegul. “Learning from minimally labeled data with accelerated convolutional neural networks.” 2016. Web. 22 Jan 2020.

Vancouver:

Dundar A. Learning from minimally labeled data with accelerated convolutional neural networks. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Jan 22]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/641.

Council of Science Editors:

Dundar A. Learning from minimally labeled data with accelerated convolutional neural networks. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/641

.