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You searched for +publisher:"University of New Hampshire" +contributor:("Richard A. Messner"). Showing records 1 – 11 of 11 total matches.

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1. Vidacic, Dragan. Biologically inspired feature extraction for rotation and scale tolerant pattern analysis.

Degree: PhD, 2009, University of New Hampshire

  Biologically motivated information processing has been an important area of scientific research for decades. The central topic addressed in this dissertation is utilization of… (more)

Subjects/Keywords: Engineering; Electronics and Electrical

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APA (6th Edition):

Vidacic, D. (2009). Biologically inspired feature extraction for rotation and scale tolerant pattern analysis. (Doctoral Dissertation). University of New Hampshire. Retrieved from https://scholars.unh.edu/dissertation/507

Chicago Manual of Style (16th Edition):

Vidacic, Dragan. “Biologically inspired feature extraction for rotation and scale tolerant pattern analysis.” 2009. Doctoral Dissertation, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/dissertation/507.

MLA Handbook (7th Edition):

Vidacic, Dragan. “Biologically inspired feature extraction for rotation and scale tolerant pattern analysis.” 2009. Web. 08 Mar 2021.

Vancouver:

Vidacic D. Biologically inspired feature extraction for rotation and scale tolerant pattern analysis. [Internet] [Doctoral dissertation]. University of New Hampshire; 2009. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/dissertation/507.

Council of Science Editors:

Vidacic D. Biologically inspired feature extraction for rotation and scale tolerant pattern analysis. [Doctoral Dissertation]. University of New Hampshire; 2009. Available from: https://scholars.unh.edu/dissertation/507

2. Nitsch, William Duane. An Automated Image Processing and Classification Scheme for Identifying Cancerous Soft-Shell Clam Hemocytes in Unstained Bright-Field Photomicrographs.

Degree: MS, 2016, University of New Hampshire

 Disseminated neoplasia is a type of cancer that is prevalent in marine bivalves. A group of biologists at the University of New Hampshire are frequently… (more)

Subjects/Keywords: Cancer Detection; Classification; Disseminated Neoplasia; Image Processing; Mya Arenaria; Soft-Shell Clams; Biology; Electrical engineering

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APA (6th Edition):

Nitsch, W. D. (2016). An Automated Image Processing and Classification Scheme for Identifying Cancerous Soft-Shell Clam Hemocytes in Unstained Bright-Field Photomicrographs. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/867

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):

Nitsch, William Duane. “An Automated Image Processing and Classification Scheme for Identifying Cancerous Soft-Shell Clam Hemocytes in Unstained Bright-Field Photomicrographs.” 2016. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/867.

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

MLA Handbook (7th Edition):

Nitsch, William Duane. “An Automated Image Processing and Classification Scheme for Identifying Cancerous Soft-Shell Clam Hemocytes in Unstained Bright-Field Photomicrographs.” 2016. Web. 08 Mar 2021.

Vancouver:

Nitsch WD. An Automated Image Processing and Classification Scheme for Identifying Cancerous Soft-Shell Clam Hemocytes in Unstained Bright-Field Photomicrographs. [Internet] [Thesis]. University of New Hampshire; 2016. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/867.

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

Council of Science Editors:

Nitsch WD. An Automated Image Processing and Classification Scheme for Identifying Cancerous Soft-Shell Clam Hemocytes in Unstained Bright-Field Photomicrographs. [Thesis]. University of New Hampshire; 2016. Available from: https://scholars.unh.edu/thesis/867

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

3. Nsengiyumva, Patrick. INVESTIGATING THE EFFECTS OF SINGLE-EVENT UPSETS IN STATIC AND DYNAMIC REGISTERS.

Degree: MS, 2014, University of New Hampshire

 Radiation-induced single-event upsets (SEUs) pose a serious threat to the reliability of registers. The existing SEU analyses for static CMOS registers focus on the circuit-level… (more)

Subjects/Keywords: Critical Charge; Fault-Tolerance; Integrated Circuit Reliability; Radiation-Induced Effects; Selective Node Hardening (SNH); Single-Event Upset (SEU); Nuclear engineering; Computer engineering; Electrical engineering

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

APA (6th Edition):

Nsengiyumva, P. (2014). INVESTIGATING THE EFFECTS OF SINGLE-EVENT UPSETS IN STATIC AND DYNAMIC REGISTERS. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/984

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):

Nsengiyumva, Patrick. “INVESTIGATING THE EFFECTS OF SINGLE-EVENT UPSETS IN STATIC AND DYNAMIC REGISTERS.” 2014. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/984.

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

MLA Handbook (7th Edition):

Nsengiyumva, Patrick. “INVESTIGATING THE EFFECTS OF SINGLE-EVENT UPSETS IN STATIC AND DYNAMIC REGISTERS.” 2014. Web. 08 Mar 2021.

Vancouver:

Nsengiyumva P. INVESTIGATING THE EFFECTS OF SINGLE-EVENT UPSETS IN STATIC AND DYNAMIC REGISTERS. [Internet] [Thesis]. University of New Hampshire; 2014. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/984.

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

Council of Science Editors:

Nsengiyumva P. INVESTIGATING THE EFFECTS OF SINGLE-EVENT UPSETS IN STATIC AND DYNAMIC REGISTERS. [Thesis]. University of New Hampshire; 2014. Available from: https://scholars.unh.edu/thesis/984

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

4. Blanchette, Braden Scott. An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments.

Degree: MS, 2015, University of New Hampshire

  Broadband internet has grown to become a major part of our daily routines. With this growth increase, those without direct access will not be… (more)

Subjects/Keywords: Path Loss; Rural Broadband; TVWS; Wireless Communications; Electrical engineering

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

APA (6th Edition):

Blanchette, B. S. (2015). An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1048

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):

Blanchette, Braden Scott. “An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments.” 2015. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/1048.

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

MLA Handbook (7th Edition):

Blanchette, Braden Scott. “An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments.” 2015. Web. 08 Mar 2021.

Vancouver:

Blanchette BS. An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments. [Internet] [Thesis]. University of New Hampshire; 2015. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/1048.

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

Council of Science Editors:

Blanchette BS. An Assessment of Path Loss Tools and Practical Testing of Television White Space Frequencies for Rural Broadband Deployments. [Thesis]. University of New Hampshire; 2015. Available from: https://scholars.unh.edu/thesis/1048

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

5. Radhi, Nisreen Hanoon. A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATERAL SUBTRACTIVE INHIBITION WITH NON-UNIFORM SAMPLING AND MULTIPLE SPATIAL FREQUENCY FILTERS.

Degree: MS, 2016, University of New Hampshire

 The human visual system has been an interesting topic of scientific research for decades. It is known that the cone photo-receptors are arrayed in a… (more)

Subjects/Keywords: Contrast Sensitivity Function; Human Visual System; Lateral Subtractive Inhibition; Log-Polar Mapping Transformation; Modulation Transfere Function; Non-Uniform Sampling; Electrical engineering

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APA (6th Edition):

Radhi, N. H. (2016). A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATERAL SUBTRACTIVE INHIBITION WITH NON-UNIFORM SAMPLING AND MULTIPLE SPATIAL FREQUENCY FILTERS. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1094

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):

Radhi, Nisreen Hanoon. “A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATERAL SUBTRACTIVE INHIBITION WITH NON-UNIFORM SAMPLING AND MULTIPLE SPATIAL FREQUENCY FILTERS.” 2016. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/1094.

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

MLA Handbook (7th Edition):

Radhi, Nisreen Hanoon. “A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATERAL SUBTRACTIVE INHIBITION WITH NON-UNIFORM SAMPLING AND MULTIPLE SPATIAL FREQUENCY FILTERS.” 2016. Web. 08 Mar 2021.

Vancouver:

Radhi NH. A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATERAL SUBTRACTIVE INHIBITION WITH NON-UNIFORM SAMPLING AND MULTIPLE SPATIAL FREQUENCY FILTERS. [Internet] [Thesis]. University of New Hampshire; 2016. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/1094.

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

Council of Science Editors:

Radhi NH. A BIOLOGICAL BASED MODEL OF THE HUMAN VISUAL SYSTEM INCORPORATING LATERAL SUBTRACTIVE INHIBITION WITH NON-UNIFORM SAMPLING AND MULTIPLE SPATIAL FREQUENCY FILTERS. [Thesis]. University of New Hampshire; 2016. Available from: https://scholars.unh.edu/thesis/1094

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

6. Koester, Evan. A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks.

Degree: MS, 2018, University of New Hampshire

 While significant strides in neural network and machine vision applications have been made in recent years, humans still remain the most proficient at feature extraction… (more)

Subjects/Keywords: Deep Learning; Human Visual System; Image Processing; Machine Learning; Machine Vision; Non-Uniform Sampling

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APA (6th Edition):

Koester, E. (2018). A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1231

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):

Koester, Evan. “A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks.” 2018. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/1231.

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

MLA Handbook (7th Edition):

Koester, Evan. “A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks.” 2018. Web. 08 Mar 2021.

Vancouver:

Koester E. A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/1231.

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

Council of Science Editors:

Koester E. A Human Visual System Inspired Feature Recognition Method Using Convolutional Neural Networks. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1231

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

7. Timsina, Rudra Lal. A Miniaturized Phased Array Antenna Based on Novel Switch Line Phase Shifter Module.

Degree: MS, 2019, University of New Hampshire

  A miniaturized phased array antenna with a uniquely designed switch line phase shifter to obtain a steerable beam pattern is presented. A 1x4 phased… (more)

Subjects/Keywords: 5 GHz Antenna; Beam Forming; Butler Matrix; Phased Array Antenna; Scanning Antenna; Switched Line Phase Shifter

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APA (6th Edition):

Timsina, R. L. (2019). A Miniaturized Phased Array Antenna Based on Novel Switch Line Phase Shifter Module. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1286

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):

Timsina, Rudra Lal. “A Miniaturized Phased Array Antenna Based on Novel Switch Line Phase Shifter Module.” 2019. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/1286.

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

MLA Handbook (7th Edition):

Timsina, Rudra Lal. “A Miniaturized Phased Array Antenna Based on Novel Switch Line Phase Shifter Module.” 2019. Web. 08 Mar 2021.

Vancouver:

Timsina RL. A Miniaturized Phased Array Antenna Based on Novel Switch Line Phase Shifter Module. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/1286.

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

Council of Science Editors:

Timsina RL. A Miniaturized Phased Array Antenna Based on Novel Switch Line Phase Shifter Module. [Thesis]. University of New Hampshire; 2019. Available from: https://scholars.unh.edu/thesis/1286

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

8. Willis, Paul Alan. Efficient Characterization of Transmitter Output Jitter Components in 100GBASE-CR4 Ethernet.

Degree: MS, 2019, University of New Hampshire

  Electrical data communication links less than 10 meters long are increasing link rates at a steady pace. As link rate increases, timing tolerances become… (more)

Subjects/Keywords: Ethernet; IEEE; Jitter; Telecommunications; Test and Measurement

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

APA (6th Edition):

Willis, P. A. (2019). Efficient Characterization of Transmitter Output Jitter Components in 100GBASE-CR4 Ethernet. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1334

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):

Willis, Paul Alan. “Efficient Characterization of Transmitter Output Jitter Components in 100GBASE-CR4 Ethernet.” 2019. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/1334.

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

MLA Handbook (7th Edition):

Willis, Paul Alan. “Efficient Characterization of Transmitter Output Jitter Components in 100GBASE-CR4 Ethernet.” 2019. Web. 08 Mar 2021.

Vancouver:

Willis PA. Efficient Characterization of Transmitter Output Jitter Components in 100GBASE-CR4 Ethernet. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/1334.

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

Council of Science Editors:

Willis PA. Efficient Characterization of Transmitter Output Jitter Components in 100GBASE-CR4 Ethernet. [Thesis]. University of New Hampshire; 2019. Available from: https://scholars.unh.edu/thesis/1334

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

9. Snarski, Anna Claire. RECURSIVE PATH FOLLOWING IN LOG POLAR SPACE FOR AUTONOMOUS LEAF CONTOUR EXTRACTION.

Degree: MS, 2020, University of New Hampshire

  Use of image segmentation has caused agriculture advancement in species identification, chlorophyll measurements, plant growth and disease detection. Most methods require some level of… (more)

Subjects/Keywords: Autonomous Contour; Contour Extraction; Log Polar Space

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APA (6th Edition):

Snarski, A. C. (2020). RECURSIVE PATH FOLLOWING IN LOG POLAR SPACE FOR AUTONOMOUS LEAF CONTOUR EXTRACTION. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1399

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):

Snarski, Anna Claire. “RECURSIVE PATH FOLLOWING IN LOG POLAR SPACE FOR AUTONOMOUS LEAF CONTOUR EXTRACTION.” 2020. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/1399.

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

MLA Handbook (7th Edition):

Snarski, Anna Claire. “RECURSIVE PATH FOLLOWING IN LOG POLAR SPACE FOR AUTONOMOUS LEAF CONTOUR EXTRACTION.” 2020. Web. 08 Mar 2021.

Vancouver:

Snarski AC. RECURSIVE PATH FOLLOWING IN LOG POLAR SPACE FOR AUTONOMOUS LEAF CONTOUR EXTRACTION. [Internet] [Thesis]. University of New Hampshire; 2020. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/1399.

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

Council of Science Editors:

Snarski AC. RECURSIVE PATH FOLLOWING IN LOG POLAR SPACE FOR AUTONOMOUS LEAF CONTOUR EXTRACTION. [Thesis]. University of New Hampshire; 2020. Available from: https://scholars.unh.edu/thesis/1399

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

10. Melnyk, Pavlo. Biologically inspired composite image sensor for deep field target tracking.

Degree: PhD, 2008, University of New Hampshire

  The use of nonuniform image sensors in mobile based computer vision applications can be an effective solution when computational burden is problematic. Nonuniform image… (more)

Subjects/Keywords: Engineering; Electronics and Electrical; Computer Science

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

APA (6th Edition):

Melnyk, P. (2008). Biologically inspired composite image sensor for deep field target tracking. (Doctoral Dissertation). University of New Hampshire. Retrieved from https://scholars.unh.edu/dissertation/446

Chicago Manual of Style (16th Edition):

Melnyk, Pavlo. “Biologically inspired composite image sensor for deep field target tracking.” 2008. Doctoral Dissertation, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/dissertation/446.

MLA Handbook (7th Edition):

Melnyk, Pavlo. “Biologically inspired composite image sensor for deep field target tracking.” 2008. Web. 08 Mar 2021.

Vancouver:

Melnyk P. Biologically inspired composite image sensor for deep field target tracking. [Internet] [Doctoral dissertation]. University of New Hampshire; 2008. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/dissertation/446.

Council of Science Editors:

Melnyk P. Biologically inspired composite image sensor for deep field target tracking. [Doctoral Dissertation]. University of New Hampshire; 2008. Available from: https://scholars.unh.edu/dissertation/446

11. Li, Xiaolu. Bio-inspired log-polar based color image pattern analysis in multiple frequency channels.

Degree: MS, 2010, University of New Hampshire

  The main topic addressed in this thesis is to implement color image pattern recognition based on the lateral inhibition subtraction phenomenon combined with a… (more)

Subjects/Keywords: Engineering; Electronics and Electrical

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

APA (6th Edition):

Li, X. (2010). Bio-inspired log-polar based color image pattern analysis in multiple frequency channels. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/553

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):

Li, Xiaolu. “Bio-inspired log-polar based color image pattern analysis in multiple frequency channels.” 2010. Thesis, University of New Hampshire. Accessed March 08, 2021. https://scholars.unh.edu/thesis/553.

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

MLA Handbook (7th Edition):

Li, Xiaolu. “Bio-inspired log-polar based color image pattern analysis in multiple frequency channels.” 2010. Web. 08 Mar 2021.

Vancouver:

Li X. Bio-inspired log-polar based color image pattern analysis in multiple frequency channels. [Internet] [Thesis]. University of New Hampshire; 2010. [cited 2021 Mar 08]. Available from: https://scholars.unh.edu/thesis/553.

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

Council of Science Editors:

Li X. Bio-inspired log-polar based color image pattern analysis in multiple frequency channels. [Thesis]. University of New Hampshire; 2010. Available from: https://scholars.unh.edu/thesis/553

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

.