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You searched for +publisher:"University of New Orleans" +contributor:("Nino, Jaime"). Showing records 1 – 5 of 5 total matches.

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University of New Orleans

1. Horton, Brian. Software Renovation: An In-house Perspective with Case Studies.

Degree: MS, Computer Science, 2010, University of New Orleans

  Programs are not only a tool for the simplification or automation of everyday tasks; they also represent a significant time and money investment. A… (more)

Subjects/Keywords: Methodologies; Code Design; Programming Paradigms; Maintenance

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

APA (6th Edition):

Horton, B. (2010). Software Renovation: An In-house Perspective with Case Studies. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/112

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):

Horton, Brian. “Software Renovation: An In-house Perspective with Case Studies.” 2010. Thesis, University of New Orleans. Accessed April 06, 2020. https://scholarworks.uno.edu/td/112.

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

MLA Handbook (7th Edition):

Horton, Brian. “Software Renovation: An In-house Perspective with Case Studies.” 2010. Web. 06 Apr 2020.

Vancouver:

Horton B. Software Renovation: An In-house Perspective with Case Studies. [Internet] [Thesis]. University of New Orleans; 2010. [cited 2020 Apr 06]. Available from: https://scholarworks.uno.edu/td/112.

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

Council of Science Editors:

Horton B. Software Renovation: An In-house Perspective with Case Studies. [Thesis]. University of New Orleans; 2010. Available from: https://scholarworks.uno.edu/td/112

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


University of New Orleans

2. Landry, Matthew. Analysis of Nanopore Detector Measurements using Machine Learning Methods, with Application to Single-Molecule Kinetics.

Degree: MS, Computer Science, 2007, University of New Orleans

 At its core, a nanopore detector has a nanometer-scale biological membrane across which a voltage is applied. The voltage draws a DNA molecule into an… (more)

Subjects/Keywords: Nanopore; Hidden Markov Models; Support Vector Machines; Emission Variance Amplification; Feature Extraction; Channel Current Cheminformatics

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

APA (6th Edition):

Landry, M. (2007). Analysis of Nanopore Detector Measurements using Machine Learning Methods, with Application to Single-Molecule Kinetics. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/533

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):

Landry, Matthew. “Analysis of Nanopore Detector Measurements using Machine Learning Methods, with Application to Single-Molecule Kinetics.” 2007. Thesis, University of New Orleans. Accessed April 06, 2020. https://scholarworks.uno.edu/td/533.

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

MLA Handbook (7th Edition):

Landry, Matthew. “Analysis of Nanopore Detector Measurements using Machine Learning Methods, with Application to Single-Molecule Kinetics.” 2007. Web. 06 Apr 2020.

Vancouver:

Landry M. Analysis of Nanopore Detector Measurements using Machine Learning Methods, with Application to Single-Molecule Kinetics. [Internet] [Thesis]. University of New Orleans; 2007. [cited 2020 Apr 06]. Available from: https://scholarworks.uno.edu/td/533.

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

Council of Science Editors:

Landry M. Analysis of Nanopore Detector Measurements using Machine Learning Methods, with Application to Single-Molecule Kinetics. [Thesis]. University of New Orleans; 2007. Available from: https://scholarworks.uno.edu/td/533

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


University of New Orleans

3. Pedda Reddy, Swaroop Kumar. Steganalysis Techniques: A Comparative Study.

Degree: MS, Computer Science, 2007, University of New Orleans

 Steganography is the art of hiding information within cover objects like images or audio/video files. It has been widely reported that there has been a… (more)

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

APA (6th Edition):

Pedda Reddy, S. K. (2007). Steganalysis Techniques: A Comparative Study. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/562

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):

Pedda Reddy, Swaroop Kumar. “Steganalysis Techniques: A Comparative Study.” 2007. Thesis, University of New Orleans. Accessed April 06, 2020. https://scholarworks.uno.edu/td/562.

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

MLA Handbook (7th Edition):

Pedda Reddy, Swaroop Kumar. “Steganalysis Techniques: A Comparative Study.” 2007. Web. 06 Apr 2020.

Vancouver:

Pedda Reddy SK. Steganalysis Techniques: A Comparative Study. [Internet] [Thesis]. University of New Orleans; 2007. [cited 2020 Apr 06]. Available from: https://scholarworks.uno.edu/td/562.

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

Council of Science Editors:

Pedda Reddy SK. Steganalysis Techniques: A Comparative Study. [Thesis]. University of New Orleans; 2007. Available from: https://scholarworks.uno.edu/td/562

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


University of New Orleans

4. Marziale, Lodovico. Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations.

Degree: PhD, Computer Science, 2009, University of New Orleans

 Digital forensics is the science concerned with discovering, preserving, and analyzing evidence on digital devices. The intent is to be able to determine what events… (more)

Subjects/Keywords: Computer Forensics; Digital Forensics; Digital Investigation; File Carving; Live Forensics; RAM Forensics; Forensic Discovery; Forensic Discovery Auditing

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

APA (6th Edition):

Marziale, L. (2009). Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1027

Chicago Manual of Style (16th Edition):

Marziale, Lodovico. “Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations.” 2009. Doctoral Dissertation, University of New Orleans. Accessed April 06, 2020. https://scholarworks.uno.edu/td/1027.

MLA Handbook (7th Edition):

Marziale, Lodovico. “Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations.” 2009. Web. 06 Apr 2020.

Vancouver:

Marziale L. Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations. [Internet] [Doctoral dissertation]. University of New Orleans; 2009. [cited 2020 Apr 06]. Available from: https://scholarworks.uno.edu/td/1027.

Council of Science Editors:

Marziale L. Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations. [Doctoral Dissertation]. University of New Orleans; 2009. Available from: https://scholarworks.uno.edu/td/1027


University of New Orleans

5. Aguirre Jurado, Ricardo. Resilient Average and Distortion Detection in Sensor Networks.

Degree: MS, Computer Science, 2009, University of New Orleans

 In this paper a resilient sensor network is built in order to lessen the effects of a small portion of corrupted sensors when an aggregated… (more)

Subjects/Keywords: Sensors; Correlation; Kalman Filter; Principal Component Analysis; PCA

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

APA (6th Edition):

Aguirre Jurado, R. (2009). Resilient Average and Distortion Detection in Sensor Networks. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/962

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):

Aguirre Jurado, Ricardo. “Resilient Average and Distortion Detection in Sensor Networks.” 2009. Thesis, University of New Orleans. Accessed April 06, 2020. https://scholarworks.uno.edu/td/962.

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

MLA Handbook (7th Edition):

Aguirre Jurado, Ricardo. “Resilient Average and Distortion Detection in Sensor Networks.” 2009. Web. 06 Apr 2020.

Vancouver:

Aguirre Jurado R. Resilient Average and Distortion Detection in Sensor Networks. [Internet] [Thesis]. University of New Orleans; 2009. [cited 2020 Apr 06]. Available from: https://scholarworks.uno.edu/td/962.

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

Council of Science Editors:

Aguirre Jurado R. Resilient Average and Distortion Detection in Sensor Networks. [Thesis]. University of New Orleans; 2009. Available from: https://scholarworks.uno.edu/td/962

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

.