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You searched for +publisher:"Florida International University" +contributor:("Jean Andrian"). Showing records 1 – 30 of 72 total matches.

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Florida International University

1. Rossman, Mark A. Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns.

Degree: Electrical Engineering, 2011, Florida International University

  Flow Cytometry analyzers have become trusted companions due to their ability to perform fast and accurate analyses of human blood. The aim of these… (more)

Subjects/Keywords: Flow Cytometry; Hematology; Pattern Recognition; Classification; Image Processing; Eigen System; Biomedical; Electrical and Computer Engineering; Signal Processing

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APA (6th Edition):

Rossman, M. A. (2011). Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506

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):

Rossman, Mark A. “Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506.

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

MLA Handbook (7th Edition):

Rossman, Mark A. “Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns.” 2011. Web. 04 Apr 2020.

Vancouver:

Rossman MA. Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506.

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

Council of Science Editors:

Rossman MA. Automated Detection of Hematological Abnormalities through Classification of Flow Cytometric Data Patterns. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/344 ; 10.25148/etd.FI11041506 ; FI11041506

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


Florida International University

2. Han, Changan. Neural Network Based Off-line Handwritten Text Recognition System.

Degree: Electrical Engineering, 2011, Florida International University

  This dissertation introduces a new system for handwritten text recognition based on an improved neural network design. Most of the existing neural networks treat… (more)

Subjects/Keywords: Handwriting Recognition; Neural Network; Mean Quartic Error Function; Semi-third Order Method

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APA (6th Edition):

Han, C. (2011). Neural Network Based Off-line Handwritten Text Recognition System. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701

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):

Han, Changan. “Neural Network Based Off-line Handwritten Text Recognition System.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701.

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

MLA Handbook (7th Edition):

Han, Changan. “Neural Network Based Off-line Handwritten Text Recognition System.” 2011. Web. 04 Apr 2020.

Vancouver:

Han C. Neural Network Based Off-line Handwritten Text Recognition System. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701.

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

Council of Science Editors:

Han C. Neural Network Based Off-line Handwritten Text Recognition System. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/363 ; 10.25148/etd.FI11042701 ; FI11042701

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


Florida International University

3. Lahlou, Mouncef. Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering.

Degree: Electrical Engineering, 2011, Florida International University

  Given the importance of color processing in computer vision and computer graphics, estimating and rendering illumination spectral reflectance of image scenes is important to… (more)

Subjects/Keywords: Image processing; Computer vision; Reflection separation; Scene illumination rendering; Surface reconstruction; Image restoration; Spectral color estimation; Computer graphics

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APA (6th Edition):

Lahlou, M. (2011). Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702

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):

Lahlou, Mouncef. “Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702.

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

MLA Handbook (7th Edition):

Lahlou, Mouncef. “Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering.” 2011. Web. 04 Apr 2020.

Vancouver:

Lahlou M. Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702.

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

Council of Science Editors:

Lahlou M. Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/381 ; 10.25148/etd.FI11042702 ; FI11042702

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


Florida International University

4. Shivashanker, Mohan. The Development of Hardware Multi-core Test-bed on Field Programmable Gate Array.

Degree: Electrical Engineering, 2011, Florida International University

  The goal of this project is to develop a flexible multi-core hardware test-bed on field programmable gate array (FPGA) that can be used to… (more)

Subjects/Keywords: Hardware multi-core; dynamic frequency scaling; test-bed; field programmable gate array

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APA (6th Edition):

Shivashanker, M. (2011). The Development of Hardware Multi-core Test-bed on Field Programmable Gate Array. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/395 ; 10.25148/etd.FI11050902 ; FI11050902

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):

Shivashanker, Mohan. “The Development of Hardware Multi-core Test-bed on Field Programmable Gate Array.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/395 ; 10.25148/etd.FI11050902 ; FI11050902.

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

MLA Handbook (7th Edition):

Shivashanker, Mohan. “The Development of Hardware Multi-core Test-bed on Field Programmable Gate Array.” 2011. Web. 04 Apr 2020.

Vancouver:

Shivashanker M. The Development of Hardware Multi-core Test-bed on Field Programmable Gate Array. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/395 ; 10.25148/etd.FI11050902 ; FI11050902.

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

Council of Science Editors:

Shivashanker M. The Development of Hardware Multi-core Test-bed on Field Programmable Gate Array. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/395 ; 10.25148/etd.FI11050902 ; FI11050902

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


Florida International University

5. Granados, Omar D. Space-Time Coding for Polynomial Phase Modulated Signals.

Degree: Electrical Engineering, 2011, Florida International University

  Polynomial phase modulated (PPM) signals have been shown to provide improved error rate performance with respect to conventional modulation formats under additive white Gaussian… (more)

Subjects/Keywords: Space-time coding; polynomial phase signals

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APA (6th Edition):

Granados, O. D. (2011). Space-Time Coding for Polynomial Phase Modulated Signals. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/378 ; 10.25148/etd.FI11050305 ; FI11050305

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):

Granados, Omar D. “Space-Time Coding for Polynomial Phase Modulated Signals.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/378 ; 10.25148/etd.FI11050305 ; FI11050305.

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

MLA Handbook (7th Edition):

Granados, Omar D. “Space-Time Coding for Polynomial Phase Modulated Signals.” 2011. Web. 04 Apr 2020.

Vancouver:

Granados OD. Space-Time Coding for Polynomial Phase Modulated Signals. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/378 ; 10.25148/etd.FI11050305 ; FI11050305.

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

Council of Science Editors:

Granados OD. Space-Time Coding for Polynomial Phase Modulated Signals. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/378 ; 10.25148/etd.FI11050305 ; FI11050305

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


Florida International University

6. Hadley, Brian M, Mr. Hybrid Motor Drives: Characterization and Control.

Degree: Electrical Engineering, 2011, Florida International University

  The purpose of this thesis was to explore the behavior in power sharing and control of Hybrid Motor Drives. In this research, a solar-based… (more)

Subjects/Keywords: Hybrid Motor Drives; Sustainable Energy

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APA (6th Edition):

Hadley, Brian M, M. (2011). Hybrid Motor Drives: Characterization and Control. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/458 ; 10.25148/etd.FI11080809 ; FI11080809

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):

Hadley, Brian M, Mr. “Hybrid Motor Drives: Characterization and Control.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/458 ; 10.25148/etd.FI11080809 ; FI11080809.

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

MLA Handbook (7th Edition):

Hadley, Brian M, Mr. “Hybrid Motor Drives: Characterization and Control.” 2011. Web. 04 Apr 2020.

Vancouver:

Hadley, Brian M M. Hybrid Motor Drives: Characterization and Control. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/458 ; 10.25148/etd.FI11080809 ; FI11080809.

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

Council of Science Editors:

Hadley, Brian M M. Hybrid Motor Drives: Characterization and Control. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/458 ; 10.25148/etd.FI11080809 ; FI11080809

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


Florida International University

7. Korla, Srikanth. Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques.

Degree: Mechanical Engineering, 2011, Florida International University

  Structural Health Monitoring (SHM) systems were developed to evaluate the integrity of a system during operation, and to quickly identify the maintenance problems. They… (more)

Subjects/Keywords: Energy harvesting; Wear monitoring; SHM techniques; Mill tool wear; SuRE approach; Damage monitoring

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APA (6th Edition):

Korla, S. (2011). Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/460 ; 10.25148/etd.FI11081003 ; FI11081003

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):

Korla, Srikanth. “Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques.” 2011. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/460 ; 10.25148/etd.FI11081003 ; FI11081003.

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

MLA Handbook (7th Edition):

Korla, Srikanth. “Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques.” 2011. Web. 04 Apr 2020.

Vancouver:

Korla S. Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques. [Internet] [Thesis]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/460 ; 10.25148/etd.FI11081003 ; FI11081003.

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

Council of Science Editors:

Korla S. Inspection of Parts with Complex Geometry and Welds with Structural Health Monitoring Techniques. [Thesis]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/460 ; 10.25148/etd.FI11081003 ; FI11081003

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


Florida International University

8. Guzman Tamayo, Ana M. Thermal Imaging As A Biometrics Approach To Facial Signature Authentication.

Degree: PhD, Electrical Engineering, 2011, Florida International University

  This dissertation develops an image processing framework with unique feature extraction and similarity measurements for human face recognition in the mid-wave infrared portion of… (more)

Subjects/Keywords: Similarity Measures; Infrared Imaging; Facial Recognition; Facial Signatures; Image Registration

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APA (6th Edition):

Guzman Tamayo, A. M. (2011). Thermal Imaging As A Biometrics Approach To Facial Signature Authentication. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916

Chicago Manual of Style (16th Edition):

Guzman Tamayo, Ana M. “Thermal Imaging As A Biometrics Approach To Facial Signature Authentication.” 2011. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916.

MLA Handbook (7th Edition):

Guzman Tamayo, Ana M. “Thermal Imaging As A Biometrics Approach To Facial Signature Authentication.” 2011. Web. 04 Apr 2020.

Vancouver:

Guzman Tamayo AM. Thermal Imaging As A Biometrics Approach To Facial Signature Authentication. [Internet] [Doctoral dissertation]. Florida International University; 2011. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916.

Council of Science Editors:

Guzman Tamayo AM. Thermal Imaging As A Biometrics Approach To Facial Signature Authentication. [Doctoral Dissertation]. Florida International University; 2011. Available from: https://digitalcommons.fiu.edu/etd/539 ; 10.25148/etd.FI11120916 ; FI11120916


Florida International University

9. Solana, Gabriel A. Modeling of Crosstalk in High Speed Planar Structure Parallel Data Buses and Suppression by Uniformly Spaced Short Circuits.

Degree: MS, Electrical Engineering, 2012, Florida International University

  The aim of this thesis is to identify coupling mechanisms for three line microstrip, stripline and microstrip with dielectric overlay structures as either inductive… (more)

Subjects/Keywords: Crosstalk; Microstrip; Stripline; Buried Microstrip; Microstrip with dielectric overlay; HFSS; Sonnet; Modeling; Electromagnetic simulation

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APA (6th Edition):

Solana, G. A. (2012). Modeling of Crosstalk in High Speed Planar Structure Parallel Data Buses and Suppression by Uniformly Spaced Short Circuits. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/606 ; 10.25148/etd.FI12050215 ; FI12050215

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):

Solana, Gabriel A. “Modeling of Crosstalk in High Speed Planar Structure Parallel Data Buses and Suppression by Uniformly Spaced Short Circuits.” 2012. Thesis, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/606 ; 10.25148/etd.FI12050215 ; FI12050215.

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

MLA Handbook (7th Edition):

Solana, Gabriel A. “Modeling of Crosstalk in High Speed Planar Structure Parallel Data Buses and Suppression by Uniformly Spaced Short Circuits.” 2012. Web. 04 Apr 2020.

Vancouver:

Solana GA. Modeling of Crosstalk in High Speed Planar Structure Parallel Data Buses and Suppression by Uniformly Spaced Short Circuits. [Internet] [Thesis]. Florida International University; 2012. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/606 ; 10.25148/etd.FI12050215 ; FI12050215.

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

Council of Science Editors:

Solana GA. Modeling of Crosstalk in High Speed Planar Structure Parallel Data Buses and Suppression by Uniformly Spaced Short Circuits. [Thesis]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/606 ; 10.25148/etd.FI12050215 ; FI12050215

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


Florida International University

10. Delgado, Javier. Scheduling Medical Application Workloads on Virtualized Computing Systems.

Degree: PhD, Electrical Engineering, 2012, Florida International University

  This dissertation presents and evaluates a methodology for scheduling medical application workloads in virtualized computing environments. Such environments are being widely adopted by providers… (more)

Subjects/Keywords: distributed systems; scientific computing; medical image processing; job scheduling; virtualization; parallel processing; Computer and Systems Architecture; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Delgado, J. (2012). Scheduling Medical Application Workloads on Virtualized Computing Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239

Chicago Manual of Style (16th Edition):

Delgado, Javier. “Scheduling Medical Application Workloads on Virtualized Computing Systems.” 2012. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239.

MLA Handbook (7th Edition):

Delgado, Javier. “Scheduling Medical Application Workloads on Virtualized Computing Systems.” 2012. Web. 04 Apr 2020.

Vancouver:

Delgado J. Scheduling Medical Application Workloads on Virtualized Computing Systems. [Internet] [Doctoral dissertation]. Florida International University; 2012. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239.

Council of Science Editors:

Delgado J. Scheduling Medical Application Workloads on Virtualized Computing Systems. [Doctoral Dissertation]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239


Florida International University

11. Stone, Mark. Anomalous Properties of Sub-10-nm Magnetic Tunneling Junctions.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  Magnetic Logic Devices have the advantage of non-volatility, radiation hardness, scalability down to the sub-10nm range, and three-dimensional (3D) integration capability. Despite these advantages,… (more)

Subjects/Keywords: MTJs; spin-transfer-torque; Electrical and Computer Engineering; Electromagnetics and Photonics; Nanotechnology Fabrication

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APA (6th Edition):

Stone, M. (2018). Anomalous Properties of Sub-10-nm Magnetic Tunneling Junctions. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3640 ; 10.25148/etd.FIDC006593 ; FIDC006593

Chicago Manual of Style (16th Edition):

Stone, Mark. “Anomalous Properties of Sub-10-nm Magnetic Tunneling Junctions.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3640 ; 10.25148/etd.FIDC006593 ; FIDC006593.

MLA Handbook (7th Edition):

Stone, Mark. “Anomalous Properties of Sub-10-nm Magnetic Tunneling Junctions.” 2018. Web. 04 Apr 2020.

Vancouver:

Stone M. Anomalous Properties of Sub-10-nm Magnetic Tunneling Junctions. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3640 ; 10.25148/etd.FIDC006593 ; FIDC006593.

Council of Science Editors:

Stone M. Anomalous Properties of Sub-10-nm Magnetic Tunneling Junctions. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3640 ; 10.25148/etd.FIDC006593 ; FIDC006593


Florida International University

12. Luongo, Kevin. Nanoparticle-Based Spintronic Computer Logic Switch.

Degree: PhD, Electrical Engineering, 2019, Florida International University

  Spintronics is a rapidly growing research field due to scalability, integrablility within existing VLSI architecture, significantly reduced switching energy and latency while maintaining stable… (more)

Subjects/Keywords: Spintronics; Nanoparticle; spin transfer torque; Electrical and Electronics

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APA (6th Edition):

Luongo, K. (2019). Nanoparticle-Based Spintronic Computer Logic Switch. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3962 ; FIDC007684

Chicago Manual of Style (16th Edition):

Luongo, Kevin. “Nanoparticle-Based Spintronic Computer Logic Switch.” 2019. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3962 ; FIDC007684.

MLA Handbook (7th Edition):

Luongo, Kevin. “Nanoparticle-Based Spintronic Computer Logic Switch.” 2019. Web. 04 Apr 2020.

Vancouver:

Luongo K. Nanoparticle-Based Spintronic Computer Logic Switch. [Internet] [Doctoral dissertation]. Florida International University; 2019. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3962 ; FIDC007684.

Council of Science Editors:

Luongo K. Nanoparticle-Based Spintronic Computer Logic Switch. [Doctoral Dissertation]. Florida International University; 2019. Available from: https://digitalcommons.fiu.edu/etd/3962 ; FIDC007684


Florida International University

13. Jing, Xueyan. Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection.

Degree: PhD, Electrical Engineering, 2016, Florida International University

  Intrusion detection is the essential part of network security in combating against illegal network access or malicious cyberattacks. Due to the constantly evolving nature… (more)

Subjects/Keywords: intrusion detection; classification; fuzzy; Dempster-shafer theory

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APA (6th Edition):

Jing, X. (2016). Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2436 ; 10.25148/etd.FIDC000288 ; FIDC000288

Chicago Manual of Style (16th Edition):

Jing, Xueyan. “Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection.” 2016. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/2436 ; 10.25148/etd.FIDC000288 ; FIDC000288.

MLA Handbook (7th Edition):

Jing, Xueyan. “Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection.” 2016. Web. 04 Apr 2020.

Vancouver:

Jing X. Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection. [Internet] [Doctoral dissertation]. Florida International University; 2016. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/2436 ; 10.25148/etd.FIDC000288 ; FIDC000288.

Council of Science Editors:

Jing X. Innovative Two-Stage Fuzzy Classification for Unknown Intrusion Detection. [Doctoral Dissertation]. Florida International University; 2016. Available from: https://digitalcommons.fiu.edu/etd/2436 ; 10.25148/etd.FIDC000288 ; FIDC000288


Florida International University

14. O-larnnithipong, Nonnarit. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional… (more)

Subjects/Keywords: Hand Motion Tracking; Inertial Measurement Unit; Gyroscope Drift; Sensor Fusion; Orientation Correction Algorithm; Quaternion; Navigation, Guidance, Control, and Dynamics; Robotics; Signal Processing

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APA (6th Edition):

O-larnnithipong, N. (2018). Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002

Chicago Manual of Style (16th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002.

MLA Handbook (7th Edition):

O-larnnithipong, Nonnarit. “Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras.” 2018. Web. 04 Apr 2020.

Vancouver:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002.

Council of Science Editors:

O-larnnithipong N. Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3905 ; 10.25148/etd.FIDC007002 ; FIDC007002


Florida International University

15. Amin, Mahmoud. Efficiency and Power Density Improvement of Grid-Connected Hybrid Renewable Energy Systems utilizing High Frequency-Based Power Converters.

Degree: PhD, Electrical Engineering, 2012, Florida International University

  High efficiency of power converters placed between renewable energy sources and the utility grid is required to maximize the utilization of these sources. Power… (more)

Subjects/Keywords: Hybrid Renewable Energy Systems; multi-input PWM boost converter; control design; high frequency operation

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APA (6th Edition):

Amin, M. (2012). Efficiency and Power Density Improvement of Grid-Connected Hybrid Renewable Energy Systems utilizing High Frequency-Based Power Converters. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/600 ; 10.25148/etd.FI12050211 ; FI12050211

Chicago Manual of Style (16th Edition):

Amin, Mahmoud. “Efficiency and Power Density Improvement of Grid-Connected Hybrid Renewable Energy Systems utilizing High Frequency-Based Power Converters.” 2012. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/600 ; 10.25148/etd.FI12050211 ; FI12050211.

MLA Handbook (7th Edition):

Amin, Mahmoud. “Efficiency and Power Density Improvement of Grid-Connected Hybrid Renewable Energy Systems utilizing High Frequency-Based Power Converters.” 2012. Web. 04 Apr 2020.

Vancouver:

Amin M. Efficiency and Power Density Improvement of Grid-Connected Hybrid Renewable Energy Systems utilizing High Frequency-Based Power Converters. [Internet] [Doctoral dissertation]. Florida International University; 2012. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/600 ; 10.25148/etd.FI12050211 ; FI12050211.

Council of Science Editors:

Amin M. Efficiency and Power Density Improvement of Grid-Connected Hybrid Renewable Energy Systems utilizing High Frequency-Based Power Converters. [Doctoral Dissertation]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/600 ; 10.25148/etd.FI12050211 ; FI12050211


Florida International University

16. Geng, Zhe. Radar Signal Processing for Interference Mitigation.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  It is necessary for radars to suppress interferences to near the noise level to achieve the best performance in target detection and measurements. In… (more)

Subjects/Keywords: Radar; signal processing; interference mitigation; Signal Processing

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APA (6th Edition):

Geng, Z. (2018). Radar Signal Processing for Interference Mitigation. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569

Chicago Manual of Style (16th Edition):

Geng, Zhe. “Radar Signal Processing for Interference Mitigation.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569.

MLA Handbook (7th Edition):

Geng, Zhe. “Radar Signal Processing for Interference Mitigation.” 2018. Web. 04 Apr 2020.

Vancouver:

Geng Z. Radar Signal Processing for Interference Mitigation. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569.

Council of Science Editors:

Geng Z. Radar Signal Processing for Interference Mitigation. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569


Florida International University

17. Li, Chunfei. Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  A neuroimaging feature extraction model is designed to extract region-based image features whose values are predicted by base learners trained on raw neuroimaging morphological… (more)

Subjects/Keywords: Alzheimer’s disease; mild cognitive impairment; neuroimaging; classification; pattern analysis; amyloid; MRI; cortical thinning; APOE; memory; ADNI; Biomedical; Electrical and Computer Engineering; Engineering

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APA (6th Edition):

Li, C. (2018). Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548

Chicago Manual of Style (16th Edition):

Li, Chunfei. “Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548.

MLA Handbook (7th Edition):

Li, Chunfei. “Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease.” 2018. Web. 04 Apr 2020.

Vancouver:

Li C. Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548.

Council of Science Editors:

Li C. Multimodal Imaging for Enhanced Diagnosis and for Assessing Progression of Alzheimer’s Disease. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3703 ; 10.25148/etd.FIDC006548 ; FIDC006548


Florida International University

18. Gibson, John. Reconfigurable Antennas Using Liquid Crystalline Elastomers.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  This dissertation demonstrates the design of reversibly self-morphing novel liquid crystalline elastomer (LCE) antennas that can dynamically change electromagnetic performance in response to temperature.… (more)

Subjects/Keywords: Reconfigurable Antennas; Shape Memory Polymers; Liquid Crystalline Elastomers; Passive Temperature Sensor; Electrical and Electronics; Electromagnetics and Photonics; Polymer and Organic Materials; Systems and Communications

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APA (6th Edition):

Gibson, J. (2018). Reconfigurable Antennas Using Liquid Crystalline Elastomers. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3706 ; 10.25148/etd.FIDC006536 ; FIDC006536

Chicago Manual of Style (16th Edition):

Gibson, John. “Reconfigurable Antennas Using Liquid Crystalline Elastomers.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3706 ; 10.25148/etd.FIDC006536 ; FIDC006536.

MLA Handbook (7th Edition):

Gibson, John. “Reconfigurable Antennas Using Liquid Crystalline Elastomers.” 2018. Web. 04 Apr 2020.

Vancouver:

Gibson J. Reconfigurable Antennas Using Liquid Crystalline Elastomers. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3706 ; 10.25148/etd.FIDC006536 ; FIDC006536.

Council of Science Editors:

Gibson J. Reconfigurable Antennas Using Liquid Crystalline Elastomers. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3706 ; 10.25148/etd.FIDC006536 ; FIDC006536


Florida International University

19. Chaparro-Baquero, Gustavo A. Memory-Aware Scheduling for Fixed Priority Hard Real-Time Computing Systems.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  As a major component of a computing system, memory has been a key performance and power consumption bottleneck in computer system design. While processor… (more)

Subjects/Keywords: electrical engineering; Computer and Systems Architecture; Computer Engineering; Electrical and Computer Engineering; Engineering; Hardware Systems; VLSI and Circuits, Embedded and Hardware Systems

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APA (6th Edition):

Chaparro-Baquero, G. A. (2018). Memory-Aware Scheduling for Fixed Priority Hard Real-Time Computing Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3712 ; 10.25148/etd.FIDC004092 ; FIDC004092

Chicago Manual of Style (16th Edition):

Chaparro-Baquero, Gustavo A. “Memory-Aware Scheduling for Fixed Priority Hard Real-Time Computing Systems.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3712 ; 10.25148/etd.FIDC004092 ; FIDC004092.

MLA Handbook (7th Edition):

Chaparro-Baquero, Gustavo A. “Memory-Aware Scheduling for Fixed Priority Hard Real-Time Computing Systems.” 2018. Web. 04 Apr 2020.

Vancouver:

Chaparro-Baquero GA. Memory-Aware Scheduling for Fixed Priority Hard Real-Time Computing Systems. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3712 ; 10.25148/etd.FIDC004092 ; FIDC004092.

Council of Science Editors:

Chaparro-Baquero GA. Memory-Aware Scheduling for Fixed Priority Hard Real-Time Computing Systems. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3712 ; 10.25148/etd.FIDC004092 ; FIDC004092


Florida International University

20. Wei, Longfei. Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  The smart grid is the next-generation electrical infrastructure utilizing Information and Communication Technologies (ICTs), whose architecture is evolving from a utility-centric structure to a… (more)

Subjects/Keywords: Cyber-Physical Security; Game Theory; Machine Learning; Reliability; Resilience; Smart Grid; Information Security; Numerical Analysis and Scientific Computing; Power and Energy; Systems and Communications; Theory and Algorithms

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APA (6th Edition):

Wei, L. (2018). Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052

Chicago Manual of Style (16th Edition):

Wei, Longfei. “Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052.

MLA Handbook (7th Edition):

Wei, Longfei. “Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid.” 2018. Web. 04 Apr 2020.

Vancouver:

Wei L. Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052.

Council of Science Editors:

Wei L. Game-Theoretic and Machine-Learning Techniques for Cyber-Physical Security and Resilience in Smart Grid. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3850 ; 10.25148/etd.FIDC007052 ; FIDC007052


Florida International University

21. Abbaspour, Ali Reza. Active Fault-Tolerant Control Design for Nonlinear Systems.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  Faults and failures in system components are the two main reasons for the instability and the degradation in control performance. In recent decades, fault-tolerant… (more)

Subjects/Keywords: Fault Detection; Active Fault Tolerant Control; Resiliency; Nonlinear Control; Controls and Control Theory; Navigation, Guidance, Control and Dynamics

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APA (6th Edition):

Abbaspour, A. R. (2018). Active Fault-Tolerant Control Design for Nonlinear Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3917 ; FIDC006990

Chicago Manual of Style (16th Edition):

Abbaspour, Ali Reza. “Active Fault-Tolerant Control Design for Nonlinear Systems.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3917 ; FIDC006990.

MLA Handbook (7th Edition):

Abbaspour, Ali Reza. “Active Fault-Tolerant Control Design for Nonlinear Systems.” 2018. Web. 04 Apr 2020.

Vancouver:

Abbaspour AR. Active Fault-Tolerant Control Design for Nonlinear Systems. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3917 ; FIDC006990.

Council of Science Editors:

Abbaspour AR. Active Fault-Tolerant Control Design for Nonlinear Systems. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3917 ; FIDC006990


Florida International University

22. Lashway, Christopher R. Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands.

Degree: PhD, Electrical Engineering, 2017, Florida International University

  A continuous increase in demands from the utility grid and traction applications have steered public attention toward the integration of energy storage (ES) and… (more)

Subjects/Keywords: hybrid energy storage systems; energy storage; battery physics based modeling; battery management systems; energy management systems; lithium ion batteries; lead acid batteries; flywheel energy storage systems; supercapacitors; wide bandgap semiconductors; Electrical and Electronics; Electromagnetics and Photonics; Electronic Devices and Semiconductor Manufacturing; Energy Systems; Engineering Physics; Power and Energy; Transport Phenomena

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APA (6th Edition):

Lashway, C. R. (2017). Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3515 ; 10.25148/etd.FIDC004048 ; FIDC004048

Chicago Manual of Style (16th Edition):

Lashway, Christopher R. “Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands.” 2017. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3515 ; 10.25148/etd.FIDC004048 ; FIDC004048.

MLA Handbook (7th Edition):

Lashway, Christopher R. “Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands.” 2017. Web. 04 Apr 2020.

Vancouver:

Lashway CR. Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands. [Internet] [Doctoral dissertation]. Florida International University; 2017. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3515 ; 10.25148/etd.FIDC004048 ; FIDC004048.

Council of Science Editors:

Lashway CR. Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands. [Doctoral Dissertation]. Florida International University; 2017. Available from: https://digitalcommons.fiu.edu/etd/3515 ; 10.25148/etd.FIDC004048 ; FIDC004048


Florida International University

23. Janwattanapong, Panuwat. Connectivity Analysis of Electroencephalograms in Epilepsy.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  This dissertation introduces a novel approach at gauging patterns of informa- tion flow using brain connectivity analysis and partial directed coherence (PDC) in epilepsy.… (more)

Subjects/Keywords: Epilepsy; Brain Connectivity Analysis; Effective Connectivity; Machine Learning; Bioelectrical and Neuroengineering; Electrical and Electronics; Signal Processing

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APA (6th Edition):

Janwattanapong, P. (2018). Connectivity Analysis of Electroencephalograms in Epilepsy. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001

Chicago Manual of Style (16th Edition):

Janwattanapong, Panuwat. “Connectivity Analysis of Electroencephalograms in Epilepsy.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001.

MLA Handbook (7th Edition):

Janwattanapong, Panuwat. “Connectivity Analysis of Electroencephalograms in Epilepsy.” 2018. Web. 04 Apr 2020.

Vancouver:

Janwattanapong P. Connectivity Analysis of Electroencephalograms in Epilepsy. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001.

Council of Science Editors:

Janwattanapong P. Connectivity Analysis of Electroencephalograms in Epilepsy. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3906 ; 10.25148/etd.FIDC007001 ; FIDC007001

24. Liu, Daerhan. Novel Strongly Coupled Magnetic Resonant Systems.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  Wireless power transfer (WPT) technologies have become important for our everyday life. The most commonly used near-field WPT method is inductive coupling, which suffers… (more)

Subjects/Keywords: Wireless power transfer; Misalignment insensitive; High efficiency; Broadband; High data rate communication; Electrical and Electronics; Electromagnetics and Photonics; Power and Energy

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APA (6th Edition):

Liu, D. (2018). Novel Strongly Coupled Magnetic Resonant Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3717 ; 10.25148/etd.FIDC004083 ; FIDC004083

Chicago Manual of Style (16th Edition):

Liu, Daerhan. “Novel Strongly Coupled Magnetic Resonant Systems.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3717 ; 10.25148/etd.FIDC004083 ; FIDC004083.

MLA Handbook (7th Edition):

Liu, Daerhan. “Novel Strongly Coupled Magnetic Resonant Systems.” 2018. Web. 04 Apr 2020.

Vancouver:

Liu D. Novel Strongly Coupled Magnetic Resonant Systems. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3717 ; 10.25148/etd.FIDC004083 ; FIDC004083.

Council of Science Editors:

Liu D. Novel Strongly Coupled Magnetic Resonant Systems. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3717 ; 10.25148/etd.FIDC004083 ; FIDC004083

25. Rajaei, Hoda. Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  Assessing complex brain activity as a function of the type of epilepsy and in the context of the 3D source of seizure onset remains… (more)

Subjects/Keywords: Electroencephalography; Epilepsy; Functional Connectivity; Interictal Spike; Temporal Lobe Epilepsy; Classification; Graph theory; Nonlinear Recurrence-based method; Epileptogenic zone; epileptic focus; Bioelectrical and Neuroengineering; Biomedical; Biomedical Engineering and Bioengineering; Computational Engineering; Electrical and Computer Engineering; Signal Processing

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APA (6th Edition):

Rajaei, H. (2018). Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025

Chicago Manual of Style (16th Edition):

Rajaei, Hoda. “Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy.” 2018. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025.

MLA Handbook (7th Edition):

Rajaei, Hoda. “Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy.” 2018. Web. 04 Apr 2020.

Vancouver:

Rajaei H. Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025.

Council of Science Editors:

Rajaei H. Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3882 ; 10.25148/etd.FIDC007025 ; FIDC007025

26. Ren, Peng. Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach.

Degree: PhD, Biomedical Engineering, 2013, Florida International University

  Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore… (more)

Subjects/Keywords: Affective Computing; Autonomic Nervous System (ANS); Pupil Diameter (PD); Galvanic Skin Response (GSR); Wavelet denoising; Kalman filtering; Moving Average Window; Backward Differentiation; Mathematical Morphology; Receiver Operating Characteristic (ROC) curves

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APA (6th Edition):

Ren, P. (2013). Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/838 ; 10.25148/etd.FI13042211 ; FI13042211

Chicago Manual of Style (16th Edition):

Ren, Peng. “Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach.” 2013. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/838 ; 10.25148/etd.FI13042211 ; FI13042211.

MLA Handbook (7th Edition):

Ren, Peng. “Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach.” 2013. Web. 04 Apr 2020.

Vancouver:

Ren P. Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach. [Internet] [Doctoral dissertation]. Florida International University; 2013. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/838 ; 10.25148/etd.FI13042211 ; FI13042211.

Council of Science Editors:

Ren P. Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach. [Doctoral Dissertation]. Florida International University; 2013. Available from: https://digitalcommons.fiu.edu/etd/838 ; 10.25148/etd.FI13042211 ; FI13042211

27. Njilla, Laurent L. Y. Modeling Security and Resource Allocation for Mobile Multi-hop Wireless Neworks Using Game Theory.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  This dissertation presents novel approaches to modeling and analyzing security and resource allocation in mobile ad hoc networks (MANETs). The research involves the design,… (more)

Subjects/Keywords: Security; Resource Allocation; MANET; Wireless Network; Game Theory; Ad hoc Network; Cyber Security; Computer Engineering; Computer Sciences; Electrical and Computer Engineering

…Yamen Njilla Florida International University, 2015 Miami, Florida Professor Niki Pissinou… 

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APA (6th Edition):

Njilla, L. L. Y. (2015). Modeling Security and Resource Allocation for Mobile Multi-hop Wireless Neworks Using Game Theory. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2284 ; 10.25148/etd.FIDC000182 ; FIDC000182

Chicago Manual of Style (16th Edition):

Njilla, Laurent L Y. “Modeling Security and Resource Allocation for Mobile Multi-hop Wireless Neworks Using Game Theory.” 2015. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/2284 ; 10.25148/etd.FIDC000182 ; FIDC000182.

MLA Handbook (7th Edition):

Njilla, Laurent L Y. “Modeling Security and Resource Allocation for Mobile Multi-hop Wireless Neworks Using Game Theory.” 2015. Web. 04 Apr 2020.

Vancouver:

Njilla LLY. Modeling Security and Resource Allocation for Mobile Multi-hop Wireless Neworks Using Game Theory. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/2284 ; 10.25148/etd.FIDC000182 ; FIDC000182.

Council of Science Editors:

Njilla LLY. Modeling Security and Resource Allocation for Mobile Multi-hop Wireless Neworks Using Game Theory. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/2284 ; 10.25148/etd.FIDC000182 ; FIDC000182

28. Vabbina, Phani Kiran. Sonochemical Synthesis of Zinc Oxide Nanostructures for Sensing and Energy Harvesting.

Degree: PhD, Electrical Engineering, 2016, Florida International University

  Semiconductor nanostructures have attracted considerable research interest due to their unique physical and chemical properties at nanoscale which open new frontiers for applications in… (more)

Subjects/Keywords: Sonochemistry; nanostructures; Zinc Oxide; MoS2; Graphene; Biosensing; Photodetectors; Perovskite Solar cells; Dye sensitized Solar Cells; Biomedical; Electrical and Electronics; Electromagnetics and Photonics; Electronic Devices and Semiconductor Manufacturing; Nanotechnology Fabrication

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APA (6th Edition):

Vabbina, P. K. (2016). Sonochemical Synthesis of Zinc Oxide Nanostructures for Sensing and Energy Harvesting. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/2534 ; 10.25148/etd.FIDC000787 ; FIDC000787

Chicago Manual of Style (16th Edition):

Vabbina, Phani Kiran. “Sonochemical Synthesis of Zinc Oxide Nanostructures for Sensing and Energy Harvesting.” 2016. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/2534 ; 10.25148/etd.FIDC000787 ; FIDC000787.

MLA Handbook (7th Edition):

Vabbina, Phani Kiran. “Sonochemical Synthesis of Zinc Oxide Nanostructures for Sensing and Energy Harvesting.” 2016. Web. 04 Apr 2020.

Vancouver:

Vabbina PK. Sonochemical Synthesis of Zinc Oxide Nanostructures for Sensing and Energy Harvesting. [Internet] [Doctoral dissertation]. Florida International University; 2016. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/2534 ; 10.25148/etd.FIDC000787 ; FIDC000787.

Council of Science Editors:

Vabbina PK. Sonochemical Synthesis of Zinc Oxide Nanostructures for Sensing and Energy Harvesting. [Doctoral Dissertation]. Florida International University; 2016. Available from: https://digitalcommons.fiu.edu/etd/2534 ; 10.25148/etd.FIDC000787 ; FIDC000787

29. Saghaleini, Mahdi. Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications.

Degree: PhD, Electrical Engineering, 2012, Florida International University

  Renewable or sustainable energy (SE) sources have attracted the attention of many countries because the power generated is environmentally friendly, and the sources are… (more)

Subjects/Keywords: boost inverter; solar inverter; micro-inverter; single-stage inverter

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

APA (6th Edition):

Saghaleini, M. (2012). Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/796 ; 10.25148/etd.FI12121001 ; FI12121001

Chicago Manual of Style (16th Edition):

Saghaleini, Mahdi. “Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications.” 2012. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/796 ; 10.25148/etd.FI12121001 ; FI12121001.

MLA Handbook (7th Edition):

Saghaleini, Mahdi. “Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications.” 2012. Web. 04 Apr 2020.

Vancouver:

Saghaleini M. Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications. [Internet] [Doctoral dissertation]. Florida International University; 2012. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/796 ; 10.25148/etd.FI12121001 ; FI12121001.

Council of Science Editors:

Saghaleini M. Switching Patterns and Steady-State Analysis of Grid-Connected and Stand-Alone Single-Stage Boost-Inverters for PV Applications. [Doctoral Dissertation]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/796 ; 10.25148/etd.FI12121001 ; FI12121001

30. Vedala, Krishnatej. A Novel Signal Processing Method for Intraoperative Neurophysiological Monitoring in Spinal Surgeries.

Degree: PhD, Electrical Engineering, 2013, Florida International University

  Intraoperative neurophysiologic monitoring is an integral part of spinal surgeries and involves the recording of somatosensory evoked potentials (SSEP). However, clinical application of IONM… (more)

Subjects/Keywords: somatosensory evoked potentials; intraoperative monitoring; biomedical engineering; neurophysiology; spinal injury; signal processing; Bioelectrical and Neuroengineering; Biomedical; Biomedical Devices and Instrumentation; Neurosciences; Other Neuroscience and Neurobiology; Signal Processing; Surgical Procedures, Operative

…NEUROPHYSIOLOGICAL MONITORING IN SPINAL SURGERIES by Krishnatej Vedala Florida International University… 

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APA (6th Edition):

Vedala, K. (2013). A Novel Signal Processing Method for Intraoperative Neurophysiological Monitoring in Spinal Surgeries. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/1038 ; 10.25148/etd.FI13121209 ; FI13121209

Chicago Manual of Style (16th Edition):

Vedala, Krishnatej. “A Novel Signal Processing Method for Intraoperative Neurophysiological Monitoring in Spinal Surgeries.” 2013. Doctoral Dissertation, Florida International University. Accessed April 04, 2020. https://digitalcommons.fiu.edu/etd/1038 ; 10.25148/etd.FI13121209 ; FI13121209.

MLA Handbook (7th Edition):

Vedala, Krishnatej. “A Novel Signal Processing Method for Intraoperative Neurophysiological Monitoring in Spinal Surgeries.” 2013. Web. 04 Apr 2020.

Vancouver:

Vedala K. A Novel Signal Processing Method for Intraoperative Neurophysiological Monitoring in Spinal Surgeries. [Internet] [Doctoral dissertation]. Florida International University; 2013. [cited 2020 Apr 04]. Available from: https://digitalcommons.fiu.edu/etd/1038 ; 10.25148/etd.FI13121209 ; FI13121209.

Council of Science Editors:

Vedala K. A Novel Signal Processing Method for Intraoperative Neurophysiological Monitoring in Spinal Surgeries. [Doctoral Dissertation]. Florida International University; 2013. Available from: https://digitalcommons.fiu.edu/etd/1038 ; 10.25148/etd.FI13121209 ; FI13121209

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