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You searched for +publisher:"University of Toledo" +contributor:("Devabhaktuni, Vijay"). Showing records 1 – 30 of 42 total matches.

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University of Toledo

1. Almalkawi, Mohammad J. Computer Aided Design of Microwave Front-End Components and Antennas for Ultrawideband Systems.

Degree: PhD, Electrical Engineering, 2011, University of Toledo

 This dissertation contributes to the development of novel designs, and implementation techniques for microwave front-end components and packaging employing both transmission line theory and classical… (more)

Subjects/Keywords: Electrical Engineering; Electromagnetics; far-end crosstalk; filters; microwave front-ends; substrate integrated waveguide; ultrawideband antenna.

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APA (6th Edition):

Almalkawi, M. J. (2011). Computer Aided Design of Microwave Front-End Components and Antennas for Ultrawideband Systems. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321653715

Chicago Manual of Style (16th Edition):

Almalkawi, Mohammad J. “Computer Aided Design of Microwave Front-End Components and Antennas for Ultrawideband Systems.” 2011. Doctoral Dissertation, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321653715.

MLA Handbook (7th Edition):

Almalkawi, Mohammad J. “Computer Aided Design of Microwave Front-End Components and Antennas for Ultrawideband Systems.” 2011. Web. 23 Oct 2019.

Vancouver:

Almalkawi MJ. Computer Aided Design of Microwave Front-End Components and Antennas for Ultrawideband Systems. [Internet] [Doctoral dissertation]. University of Toledo; 2011. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321653715.

Council of Science Editors:

Almalkawi MJ. Computer Aided Design of Microwave Front-End Components and Antennas for Ultrawideband Systems. [Doctoral Dissertation]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321653715


University of Toledo

2. Fernandes, Bertrand. Nondestructive Evaluation of Deteriorated Prestressing Strands Using Magnetic Field Induction.

Degree: MSin Electrical Engineering, College of Engineering, 2010, University of Toledo

 A design, fabrication and proof of concept testing of a sensor system, based on magnetic field detection, to estimate the remaining cross sectional area in… (more)

Subjects/Keywords: Civil Engineering; Electrical Engineering; Electromagnetism; magnetic field; prestressing strand; prestressed concrete bridge; electromagnet sensor design; nondestructive evaluation; corrosion detection; cross sectional area

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APA (6th Edition):

Fernandes, B. (2010). Nondestructive Evaluation of Deteriorated Prestressing Strands Using Magnetic Field Induction. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1271432554

Chicago Manual of Style (16th Edition):

Fernandes, Bertrand. “Nondestructive Evaluation of Deteriorated Prestressing Strands Using Magnetic Field Induction.” 2010. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1271432554.

MLA Handbook (7th Edition):

Fernandes, Bertrand. “Nondestructive Evaluation of Deteriorated Prestressing Strands Using Magnetic Field Induction.” 2010. Web. 23 Oct 2019.

Vancouver:

Fernandes B. Nondestructive Evaluation of Deteriorated Prestressing Strands Using Magnetic Field Induction. [Internet] [Masters thesis]. University of Toledo; 2010. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1271432554.

Council of Science Editors:

Fernandes B. Nondestructive Evaluation of Deteriorated Prestressing Strands Using Magnetic Field Induction. [Masters Thesis]. University of Toledo; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1271432554


University of Toledo

3. Price, Nicholas F. Deriving the Time-Course of the Dominant Frequency of Atrial Fibrillation from a Long Term in vivo Sheep Model using QRST Removal Techniques.

Degree: MSin Engineering, College of Engineering, 2011, University of Toledo

 This thesis document introduces an approach taken to the study of atrial fibrillation (AF) – which is a serious and common heart disorder – using… (more)

Subjects/Keywords: Computer Science; Electrical Engineering; Medicine; atrial fibrillation; electrocardiogram; dominant frequency; QRST cancellation; QRST removal; principal component analysis

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APA (6th Edition):

Price, N. F. (2011). Deriving the Time-Course of the Dominant Frequency of Atrial Fibrillation from a Long Term in vivo Sheep Model using QRST Removal Techniques. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1319763800

Chicago Manual of Style (16th Edition):

Price, Nicholas F. “Deriving the Time-Course of the Dominant Frequency of Atrial Fibrillation from a Long Term in vivo Sheep Model using QRST Removal Techniques.” 2011. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1319763800.

MLA Handbook (7th Edition):

Price, Nicholas F. “Deriving the Time-Course of the Dominant Frequency of Atrial Fibrillation from a Long Term in vivo Sheep Model using QRST Removal Techniques.” 2011. Web. 23 Oct 2019.

Vancouver:

Price NF. Deriving the Time-Course of the Dominant Frequency of Atrial Fibrillation from a Long Term in vivo Sheep Model using QRST Removal Techniques. [Internet] [Masters thesis]. University of Toledo; 2011. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1319763800.

Council of Science Editors:

Price NF. Deriving the Time-Course of the Dominant Frequency of Atrial Fibrillation from a Long Term in vivo Sheep Model using QRST Removal Techniques. [Masters Thesis]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1319763800


University of Toledo

4. Kvale, David Thomas. Artificial Neural Network-Based Approaches for Modeling the Radiated Emissions from Printed Circuit Board Structures and Shields.

Degree: MS, Electrical Engineering, 2010, University of Toledo

 This thesis introduces a new modeling approach for efficient and accurate Electromagnetic Interference/Compatibility (EMI/EMC) analysis of electronic systems. Printed Circuit Boards’ (PCB) radiated emissions were… (more)

Subjects/Keywords: Electrical Engineering; Electromagnetism; Artifical Neural Networks; Radiated Emissions; Shielding Enclosures

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APA (6th Edition):

Kvale, D. T. (2010). Artificial Neural Network-Based Approaches for Modeling the Radiated Emissions from Printed Circuit Board Structures and Shields. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1280698960

Chicago Manual of Style (16th Edition):

Kvale, David Thomas. “Artificial Neural Network-Based Approaches for Modeling the Radiated Emissions from Printed Circuit Board Structures and Shields.” 2010. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1280698960.

MLA Handbook (7th Edition):

Kvale, David Thomas. “Artificial Neural Network-Based Approaches for Modeling the Radiated Emissions from Printed Circuit Board Structures and Shields.” 2010. Web. 23 Oct 2019.

Vancouver:

Kvale DT. Artificial Neural Network-Based Approaches for Modeling the Radiated Emissions from Printed Circuit Board Structures and Shields. [Internet] [Masters thesis]. University of Toledo; 2010. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1280698960.

Council of Science Editors:

Kvale DT. Artificial Neural Network-Based Approaches for Modeling the Radiated Emissions from Printed Circuit Board Structures and Shields. [Masters Thesis]. University of Toledo; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1280698960


University of Toledo

5. Bandreddy, Neel Kamal. Estimation of Unmeasured Radon Concentrations in Ohio Using Quantile Regression Forest.

Degree: MS, College of Engineering, 2014, University of Toledo

 The most stable isotope of radon is Radon-222, which is a decay product of radium-226 and an indirect decay product of uranium-238, a natural radioactive… (more)

Subjects/Keywords: Mathematics; Electrical Engineering; Applied Mathematics; Radon; Kriging; Local Polynomial Interpolation; Global Polynomial Interpolation; Radial Basis Function; Artificial Neural Networks; Random Forest Regression; Quantile Regression Forest; operational performance measures

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APA (6th Edition):

Bandreddy, N. K. (2014). Estimation of Unmeasured Radon Concentrations in Ohio Using Quantile Regression Forest. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418311498

Chicago Manual of Style (16th Edition):

Bandreddy, Neel Kamal. “Estimation of Unmeasured Radon Concentrations in Ohio Using Quantile Regression Forest.” 2014. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418311498.

MLA Handbook (7th Edition):

Bandreddy, Neel Kamal. “Estimation of Unmeasured Radon Concentrations in Ohio Using Quantile Regression Forest.” 2014. Web. 23 Oct 2019.

Vancouver:

Bandreddy NK. Estimation of Unmeasured Radon Concentrations in Ohio Using Quantile Regression Forest. [Internet] [Masters thesis]. University of Toledo; 2014. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418311498.

Council of Science Editors:

Bandreddy NK. Estimation of Unmeasured Radon Concentrations in Ohio Using Quantile Regression Forest. [Masters Thesis]. University of Toledo; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418311498


University of Toledo

6. Ringenberg, Jordan. Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI.

Degree: PhD, Engineering, 2014, University of Toledo

 Diagnosis and treatment of structural heart disease is a substantial medical challenge in terms of morbidity, mortality, and financial burden to the health care system.… (more)

Subjects/Keywords: Computer Science; Engineering; Cardiac MRI, Image Segmentation, Medical Imaging, Object Classification, 3D Modeling, Cardiac Simulation, Ventricular Tachycardia, in vivo Magnetic Resonance

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APA (6th Edition):

Ringenberg, J. (2014). Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1406129522

Chicago Manual of Style (16th Edition):

Ringenberg, Jordan. “Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI.” 2014. Doctoral Dissertation, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1406129522.

MLA Handbook (7th Edition):

Ringenberg, Jordan. “Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI.” 2014. Web. 23 Oct 2019.

Vancouver:

Ringenberg J. Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI. [Internet] [Doctoral dissertation]. University of Toledo; 2014. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1406129522.

Council of Science Editors:

Ringenberg J. Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI. [Doctoral Dissertation]. University of Toledo; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1406129522


University of Toledo

7. Elkin, Colin P. Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory.

Degree: MS, Engineering (Computer Science), 2015, University of Toledo

 Wireless sensor networks are a collection of small, disposable, low-power devices that monitor vital sensory data for a variety of civil, military, and navigational applications.… (more)

Subjects/Keywords: Computer Science; Electrical Engineering; wireless sensor networks, localization, Dempster-Shafer Theory

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APA (6th Edition):

Elkin, C. P. (2015). Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1437653854

Chicago Manual of Style (16th Edition):

Elkin, Colin P. “Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory.” 2015. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1437653854.

MLA Handbook (7th Edition):

Elkin, Colin P. “Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory.” 2015. Web. 23 Oct 2019.

Vancouver:

Elkin CP. Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory. [Internet] [Masters thesis]. University of Toledo; 2015. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1437653854.

Council of Science Editors:

Elkin CP. Development of Novel Computational Algorithms for Localization in Wireless Sensor Networks through Incorporation of Dempster-Shafer Evidence Theory. [Masters Thesis]. University of Toledo; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1437653854


University of Toledo

8. Elkin, Colin P. Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety.

Degree: PhD, Engineering (Computer Science), 2018, University of Toledo

 A strong emphasis on safety in commercial and military aviation is as old and as significant as the field of aviation itself. With the growing… (more)

Subjects/Keywords: Computer Science; Computer Engineering; flight safety; machine learning; data fusion; human effectiveness; unmanned aerial vehicles; sliding-scale autonomy; cognitive workload; artificial neural networks; support vector machines; decision trees; random forest; Dempster-Shafer Evidence Theory

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APA (6th Edition):

Elkin, C. P. (2018). Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544640516618623

Chicago Manual of Style (16th Edition):

Elkin, Colin P. “Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety.” 2018. Doctoral Dissertation, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544640516618623.

MLA Handbook (7th Edition):

Elkin, Colin P. “Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety.” 2018. Web. 23 Oct 2019.

Vancouver:

Elkin CP. Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety. [Internet] [Doctoral dissertation]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544640516618623.

Council of Science Editors:

Elkin CP. Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety. [Doctoral Dissertation]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544640516618623


University of Toledo

9. Li, Haoyue. Wi-Fi Data Transmission Employing Microcontroller and Wi-Fi CompactFlash Card.

Degree: MS, Electrical Engineering, 2011, University of Toledo

 Wi-Fi (short for "wireless fidelity") is a term used to explain certain types of wireless local area networks (WLANs) that use specifications in the 802.11… (more)

Subjects/Keywords: Electrical Engineering; Wi-Fi; microcontroller; wireless network

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APA (6th Edition):

Li, H. (2011). Wi-Fi Data Transmission Employing Microcontroller and Wi-Fi CompactFlash Card. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302277331

Chicago Manual of Style (16th Edition):

Li, Haoyue. “Wi-Fi Data Transmission Employing Microcontroller and Wi-Fi CompactFlash Card.” 2011. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302277331.

MLA Handbook (7th Edition):

Li, Haoyue. “Wi-Fi Data Transmission Employing Microcontroller and Wi-Fi CompactFlash Card.” 2011. Web. 23 Oct 2019.

Vancouver:

Li H. Wi-Fi Data Transmission Employing Microcontroller and Wi-Fi CompactFlash Card. [Internet] [Masters thesis]. University of Toledo; 2011. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302277331.

Council of Science Editors:

Li H. Wi-Fi Data Transmission Employing Microcontroller and Wi-Fi CompactFlash Card. [Masters Thesis]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302277331


University of Toledo

10. Regmi, Hem Kanta. A Real-Time Computational Decision Support System for Compounded Sterile Preparations using Image Processing and Artificial Neural Networks.

Degree: MS, Electrical Engineering, 2016, University of Toledo

 The purpose of this research is to design a computational decision support system (DSS) for compounded sterile preparations (CSP). Error-free compounding is dependent on the… (more)

Subjects/Keywords: Electrical Engineering; Compounding Sterile Preparations, Graphical User Interface, Artificial Neural Networks, Image Processing, Video Processing, Decision Support System, Medication Order, Object Detection, Correlation Calculation, Connected Component Analysis

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APA (6th Edition):

Regmi, H. K. (2016). A Real-Time Computational Decision Support System for Compounded Sterile Preparations using Image Processing and Artificial Neural Networks. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1469113622

Chicago Manual of Style (16th Edition):

Regmi, Hem Kanta. “A Real-Time Computational Decision Support System for Compounded Sterile Preparations using Image Processing and Artificial Neural Networks.” 2016. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1469113622.

MLA Handbook (7th Edition):

Regmi, Hem Kanta. “A Real-Time Computational Decision Support System for Compounded Sterile Preparations using Image Processing and Artificial Neural Networks.” 2016. Web. 23 Oct 2019.

Vancouver:

Regmi HK. A Real-Time Computational Decision Support System for Compounded Sterile Preparations using Image Processing and Artificial Neural Networks. [Internet] [Masters thesis]. University of Toledo; 2016. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1469113622.

Council of Science Editors:

Regmi HK. A Real-Time Computational Decision Support System for Compounded Sterile Preparations using Image Processing and Artificial Neural Networks. [Masters Thesis]. University of Toledo; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1469113622


University of Toledo

11. Ahmadi, Mehran. Analysis and Study of Floating Offshore Wind Turbines.

Degree: MSin Electrical Engineering, Electrical Engineering, 2013, University of Toledo

 Floating wind turbines offer a means to vastly expand the number of possible sites for offshore wind energy plants. By using a floating support platform… (more)

Subjects/Keywords: Electrical Engineering; Mechanical Engineering

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APA (6th Edition):

Ahmadi, M. (2013). Analysis and Study of Floating Offshore Wind Turbines. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1376643304

Chicago Manual of Style (16th Edition):

Ahmadi, Mehran. “Analysis and Study of Floating Offshore Wind Turbines.” 2013. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1376643304.

MLA Handbook (7th Edition):

Ahmadi, Mehran. “Analysis and Study of Floating Offshore Wind Turbines.” 2013. Web. 23 Oct 2019.

Vancouver:

Ahmadi M. Analysis and Study of Floating Offshore Wind Turbines. [Internet] [Masters thesis]. University of Toledo; 2013. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1376643304.

Council of Science Editors:

Ahmadi M. Analysis and Study of Floating Offshore Wind Turbines. [Masters Thesis]. University of Toledo; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1376643304


University of Toledo

12. Akkala, Arjun. Development of Artificial Neural Networks Based Interpolation Techniques for the Modeling and Estimation of Radon Concentrations in Ohio.

Degree: MS, Engineering (Computer Science), 2010, University of Toledo

  Radon is a chemically inert, naturally occurring radioactive gas. It is one of the main causes of lung cancer second to smoking, and accounts… (more)

Subjects/Keywords: Environmental Engineering; Artificial neural networks; Interpolation; Modeling; Ohio; Zip code; Radon; Uranium; Knowledge Based Neural Network; Source Difference Method; Prior Knowledge Input, Space Mapped Neural Network

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APA (6th Edition):

Akkala, A. (2010). Development of Artificial Neural Networks Based Interpolation Techniques for the Modeling and Estimation of Radon Concentrations in Ohio. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279315482

Chicago Manual of Style (16th Edition):

Akkala, Arjun. “Development of Artificial Neural Networks Based Interpolation Techniques for the Modeling and Estimation of Radon Concentrations in Ohio.” 2010. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279315482.

MLA Handbook (7th Edition):

Akkala, Arjun. “Development of Artificial Neural Networks Based Interpolation Techniques for the Modeling and Estimation of Radon Concentrations in Ohio.” 2010. Web. 23 Oct 2019.

Vancouver:

Akkala A. Development of Artificial Neural Networks Based Interpolation Techniques for the Modeling and Estimation of Radon Concentrations in Ohio. [Internet] [Masters thesis]. University of Toledo; 2010. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279315482.

Council of Science Editors:

Akkala A. Development of Artificial Neural Networks Based Interpolation Techniques for the Modeling and Estimation of Radon Concentrations in Ohio. [Masters Thesis]. University of Toledo; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279315482


University of Toledo

13. Mogireddy, Kranthi Kumar Reddy. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing.

Degree: MSin Electrical Engineering, Electrical Engineering, 2011, University of Toledo

 A detailed knowledge of particulates released during combustion is vital for managing an air quality program. Comprehending the chemical and physical characteristics of particulates is… (more)

Subjects/Keywords: Computer Engineering; Electrical Engineering; Particulate Matter; Image Processing; Support Vector Machine; SVM

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APA (6th Edition):

Mogireddy, K. K. R. (2011). Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759

Chicago Manual of Style (16th Edition):

Mogireddy, Kranthi Kumar Reddy. “Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing.” 2011. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759.

MLA Handbook (7th Edition):

Mogireddy, Kranthi Kumar Reddy. “Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing.” 2011. Web. 23 Oct 2019.

Vancouver:

Mogireddy KKR. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. [Internet] [Masters thesis]. University of Toledo; 2011. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759.

Council of Science Editors:

Mogireddy KKR. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. [Masters Thesis]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759


University of Toledo

14. Kumarasiri, Nuwan Rajika. Development of Novel Algorithms for Localization in Wireless Sensor Networks.

Degree: MS, Engineering (Computer Science), 2014, University of Toledo

 Highly accurate localization in wireless sensor networks (WSNs) has been considered as one of the most significant challenges in wireless sensor networks. Significant efforts have… (more)

Subjects/Keywords: Electrical Engineering; Communication; Wireless sensor networks, RSS, TDOA, Wi-Fi

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APA (6th Edition):

Kumarasiri, N. R. (2014). Development of Novel Algorithms for Localization in Wireless Sensor Networks. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1415717194

Chicago Manual of Style (16th Edition):

Kumarasiri, Nuwan Rajika. “Development of Novel Algorithms for Localization in Wireless Sensor Networks.” 2014. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1415717194.

MLA Handbook (7th Edition):

Kumarasiri, Nuwan Rajika. “Development of Novel Algorithms for Localization in Wireless Sensor Networks.” 2014. Web. 23 Oct 2019.

Vancouver:

Kumarasiri NR. Development of Novel Algorithms for Localization in Wireless Sensor Networks. [Internet] [Masters thesis]. University of Toledo; 2014. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1415717194.

Council of Science Editors:

Kumarasiri NR. Development of Novel Algorithms for Localization in Wireless Sensor Networks. [Masters Thesis]. University of Toledo; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1415717194


University of Toledo

15. Yarlagadda, Rahul Rama Swamy. Inverse Modeling: Theory and Engineering Examples.

Degree: MS, Mechanical Engineering, 2015, University of Toledo

 Over the last two decades inverse problems have become increasingly popular due to their widespread applications. This popularity continuously demands designers to find alternative methods,… (more)

Subjects/Keywords: Mechanical Engineering; Inverse Problems; Artificial Neural Networks, Grey Wolf Optimizer; Particle Swarm Optimization; Multi Modal Optimization

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APA (6th Edition):

Yarlagadda, R. R. S. (2015). Inverse Modeling: Theory and Engineering Examples. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449724104

Chicago Manual of Style (16th Edition):

Yarlagadda, Rahul Rama Swamy. “Inverse Modeling: Theory and Engineering Examples.” 2015. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449724104.

MLA Handbook (7th Edition):

Yarlagadda, Rahul Rama Swamy. “Inverse Modeling: Theory and Engineering Examples.” 2015. Web. 23 Oct 2019.

Vancouver:

Yarlagadda RRS. Inverse Modeling: Theory and Engineering Examples. [Internet] [Masters thesis]. University of Toledo; 2015. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449724104.

Council of Science Editors:

Yarlagadda RRS. Inverse Modeling: Theory and Engineering Examples. [Masters Thesis]. University of Toledo; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449724104


University of Toledo

16. Kumar, Yogesh. Study of Power and Renewable Systems Modeling and Simulation Tools.

Degree: MS, Electrical Engineering, 2015, University of Toledo

 The trends in the energy generation as well as consumptions are increasing steadily all over the globe due to growing population and remarkable industrialization. Declining… (more)

Subjects/Keywords: Electrical Engineering

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APA (6th Edition):

Kumar, Y. (2015). Study of Power and Renewable Systems Modeling and Simulation Tools. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449868982

Chicago Manual of Style (16th Edition):

Kumar, Yogesh. “Study of Power and Renewable Systems Modeling and Simulation Tools.” 2015. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449868982.

MLA Handbook (7th Edition):

Kumar, Yogesh. “Study of Power and Renewable Systems Modeling and Simulation Tools.” 2015. Web. 23 Oct 2019.

Vancouver:

Kumar Y. Study of Power and Renewable Systems Modeling and Simulation Tools. [Internet] [Masters thesis]. University of Toledo; 2015. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449868982.

Council of Science Editors:

Kumar Y. Study of Power and Renewable Systems Modeling and Simulation Tools. [Masters Thesis]. University of Toledo; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1449868982


University of Toledo

17. Nittala, Sai Kameshwar Rao. Prediction of Pilot Skill Level and Workload for Sliding-Scale Autonomous Systems.

Degree: MS, Electrical Engineering, 2017, University of Toledo

 There has been tremendous growth in the quality of communication in the human-computer interaction field. Some of the focus areas have included intelligent adaptive interfaces,… (more)

Subjects/Keywords: Electrical Engineering; Engineering; Computer Science; human-machine teaming, mental workload, flight simulator, heart rate variability

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APA (6th Edition):

Nittala, S. K. R. (2017). Prediction of Pilot Skill Level and Workload for Sliding-Scale Autonomous Systems. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513180622059467

Chicago Manual of Style (16th Edition):

Nittala, Sai Kameshwar Rao. “Prediction of Pilot Skill Level and Workload for Sliding-Scale Autonomous Systems.” 2017. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513180622059467.

MLA Handbook (7th Edition):

Nittala, Sai Kameshwar Rao. “Prediction of Pilot Skill Level and Workload for Sliding-Scale Autonomous Systems.” 2017. Web. 23 Oct 2019.

Vancouver:

Nittala SKR. Prediction of Pilot Skill Level and Workload for Sliding-Scale Autonomous Systems. [Internet] [Masters thesis]. University of Toledo; 2017. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513180622059467.

Council of Science Editors:

Nittala SKR. Prediction of Pilot Skill Level and Workload for Sliding-Scale Autonomous Systems. [Masters Thesis]. University of Toledo; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513180622059467


University of Toledo

18. BHUJEL, MAN BAHADUR. Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture.

Degree: MS, Electrical Engineering, 2018, University of Toledo

 Episodic memory has been the key component of various intelligent and cognitive architecture that includes the autobiographical events of past experiences. The implementation of episodic… (more)

Subjects/Keywords: Electrical Engineering; Soar Architecture; Episodic Retrieval; Base-level Activation; Petrovs Approximation; Structural Graph Matching; Backtracking; Arc-Consistency; Cue-matching

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APA (6th Edition):

BHUJEL, M. B. (2018). Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967

Chicago Manual of Style (16th Edition):

BHUJEL, MAN BAHADUR. “Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture.” 2018. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967.

MLA Handbook (7th Edition):

BHUJEL, MAN BAHADUR. “Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture.” 2018. Web. 23 Oct 2019.

Vancouver:

BHUJEL MB. Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture. [Internet] [Masters thesis]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967.

Council of Science Editors:

BHUJEL MB. Performance Enhancement of Data Retrieval from Episodic Memory in Soar Architecture. [Masters Thesis]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1524837171020967


University of Toledo

19. Keneni, Blen M, Keneni. Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles.

Degree: MS, Electrical Engineering, 2018, University of Toledo

 UAVs are used for many purposes including agriculture, industry, law enforcement, and defense. These autonomous systems have several advantages over manned aerial vehicles as not… (more)

Subjects/Keywords: Electrical Engineering; Computer Engineering; Explainable Artificial Intelligence, fuzzy logic, ANFIS, Unmanned Aerial Vehicle, Subtractive Clustering, Parallel Coordinates

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APA (6th Edition):

Keneni, Blen M, K. (2018). Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525094091882295

Chicago Manual of Style (16th Edition):

Keneni, Blen M, Keneni. “Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles.” 2018. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525094091882295.

MLA Handbook (7th Edition):

Keneni, Blen M, Keneni. “Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles.” 2018. Web. 23 Oct 2019.

Vancouver:

Keneni, Blen M K. Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles. [Internet] [Masters thesis]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525094091882295.

Council of Science Editors:

Keneni, Blen M K. Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles. [Masters Thesis]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525094091882295


University of Toledo

20. Chowdhury, Tashnim Jabir Shovon. A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling.

Degree: MS, Electrical Engineering, 2016, University of Toledo

 Wireless sensor networks are defined as spatially distributed autonomous sensors to monitor certain physical or environmental conditions like temperature, pressure, sound, etc. and incorporate the… (more)

Subjects/Keywords: Electrical Engineering; Localization; wireless sensor networks; Gaussian mixture modeling; EM algorithm

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APA (6th Edition):

Chowdhury, T. J. S. (2016). A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602

Chicago Manual of Style (16th Edition):

Chowdhury, Tashnim Jabir Shovon. “A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling.” 2016. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602.

MLA Handbook (7th Edition):

Chowdhury, Tashnim Jabir Shovon. “A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling.” 2016. Web. 23 Oct 2019.

Vancouver:

Chowdhury TJS. A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling. [Internet] [Masters thesis]. University of Toledo; 2016. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602.

Council of Science Editors:

Chowdhury TJS. A distributed cooperative algorithm for localization in wireless sensor networks using Gaussian mixture modeling. [Masters Thesis]. University of Toledo; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1481227449382602


University of Toledo

21. Tiwari, Ayush. Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios.

Degree: MS, Electrical Engineering, 2018, University of Toledo

 Software defined radio (SDR) systems have attracted much attention recently for their affordability and simplicity for hands-on experimentation. They can be used for implementation of… (more)

Subjects/Keywords: Electrical Engineering; Machine Learning, Signal Processing, Cognitive Radios, Software Defined Radios, Dynamic Spectrum Access, Automatic Modulation Classification

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APA (6th Edition):

Tiwari, A. (2018). Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533218513862248

Chicago Manual of Style (16th Edition):

Tiwari, Ayush. “Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios.” 2018. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533218513862248.

MLA Handbook (7th Edition):

Tiwari, Ayush. “Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios.” 2018. Web. 23 Oct 2019.

Vancouver:

Tiwari A. Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios. [Internet] [Masters thesis]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533218513862248.

Council of Science Editors:

Tiwari A. Comparison of Statistical Signal Processing and Machine Learning Algorithms as Applied to Cognitive Radios. [Masters Thesis]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533218513862248


University of Toledo

22. Voyantzis, Mitchell D. CloudMEMS Platform for Design and Simulation of MEMS: Physics Modules & End-to-End Testing.

Degree: MS, Electrical Engineering, 2018, University of Toledo

 Sensors are playing an ever-increasing role in our daily lives, from portable electronics to our automobiles and health care devices. Micro electro-mechanical systems (MEMS) comprise… (more)

Subjects/Keywords: Electrical Engineering; Computer Science; MEMS; FEA; Cloud; Simulation; Micro; Electromechanical; Systems

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APA (6th Edition):

Voyantzis, M. D. (2018). CloudMEMS Platform for Design and Simulation of MEMS: Physics Modules & End-to-End Testing. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533226484963866

Chicago Manual of Style (16th Edition):

Voyantzis, Mitchell D. “CloudMEMS Platform for Design and Simulation of MEMS: Physics Modules & End-to-End Testing.” 2018. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533226484963866.

MLA Handbook (7th Edition):

Voyantzis, Mitchell D. “CloudMEMS Platform for Design and Simulation of MEMS: Physics Modules & End-to-End Testing.” 2018. Web. 23 Oct 2019.

Vancouver:

Voyantzis MD. CloudMEMS Platform for Design and Simulation of MEMS: Physics Modules & End-to-End Testing. [Internet] [Masters thesis]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533226484963866.

Council of Science Editors:

Voyantzis MD. CloudMEMS Platform for Design and Simulation of MEMS: Physics Modules & End-to-End Testing. [Masters Thesis]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533226484963866


University of Toledo

23. Dhakal, Parashar. Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms.

Degree: MS, Electrical Engineering, 2018, University of Toledo

 Real-time voice recognition and environmental sound detection play an important role in the fields of security, home control systems, robotics, and speech forensics. The advantages… (more)

Subjects/Keywords: Computer Engineering; Electrical Engineering; classifiers; end-to-end architecture; feature extraction; machine learning; speaker recognition; voice interface; background sound identification

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APA (6th Edition):

Dhakal, P. (2018). Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1531349806743278

Chicago Manual of Style (16th Edition):

Dhakal, Parashar. “Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms.” 2018. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1531349806743278.

MLA Handbook (7th Edition):

Dhakal, Parashar. “Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms.” 2018. Web. 23 Oct 2019.

Vancouver:

Dhakal P. Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms. [Internet] [Masters thesis]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1531349806743278.

Council of Science Editors:

Dhakal P. Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms. [Masters Thesis]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1531349806743278


University of Toledo

24. Junuthula, Ruthwik Reddy. Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis.

Degree: PhD, Engineering, 2018, University of Toledo

 Many application settings involve the analysis of timestamped relations or events between a set of entities, e.g. messages between users of an on-line social network.… (more)

Subjects/Keywords: Computer Science; Mathematics; Sociology; Statistics; Variational Inference; Social Network Analysis; Continuous Time Network Models; Machine Learning; Stochastic Block Model; Local Search; Interaction Networks; Link Prediction

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APA (6th Edition):

Junuthula, R. R. (2018). Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249

Chicago Manual of Style (16th Edition):

Junuthula, Ruthwik Reddy. “Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis.” 2018. Doctoral Dissertation, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

MLA Handbook (7th Edition):

Junuthula, Ruthwik Reddy. “Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis.” 2018. Web. 23 Oct 2019.

Vancouver:

Junuthula RR. Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis. [Internet] [Doctoral dissertation]. University of Toledo; 2018. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

Council of Science Editors:

Junuthula RR. Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis. [Doctoral Dissertation]. University of Toledo; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249

25. Bhatt, Deepak. Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems.

Degree: PhD, College of Engineering, 2014, University of Toledo

 An integrated navigation system consisting of INS and GPS is usually preferred due to the reduced dependency on GPS-only navigator in an area prone to… (more)

Subjects/Keywords: Electrical Engineering; GPS, INS, Algorithms, Dempster Shafer, Artificial Intelligence

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APA (6th Edition):

Bhatt, D. (2014). Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1386876868

Chicago Manual of Style (16th Edition):

Bhatt, Deepak. “Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems.” 2014. Doctoral Dissertation, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1386876868.

MLA Handbook (7th Edition):

Bhatt, Deepak. “Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems.” 2014. Web. 23 Oct 2019.

Vancouver:

Bhatt D. Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems. [Internet] [Doctoral dissertation]. University of Toledo; 2014. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1386876868.

Council of Science Editors:

Bhatt D. Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems. [Doctoral Dissertation]. University of Toledo; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1386876868

26. Westrick, Michael A. Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications.

Degree: MSin Electrical Engineering, College of Engineering, 2012, University of Toledo

  This thesis contributes to the advancement of Dedicated Short RangeCommunications antenna research for automobile applications. This research is focused on implementing vehicle-to-vehicle and vehicle-to-infrastructure… (more)

Subjects/Keywords: Electrical Engineering; Vehicle to Vehicle; DSRC; antenna design

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APA (6th Edition):

Westrick, M. A. (2012). Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345081406

Chicago Manual of Style (16th Edition):

Westrick, Michael A. “Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications.” 2012. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345081406.

MLA Handbook (7th Edition):

Westrick, Michael A. “Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications.” 2012. Web. 23 Oct 2019.

Vancouver:

Westrick MA. Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications. [Internet] [Masters thesis]. University of Toledo; 2012. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345081406.

Council of Science Editors:

Westrick MA. Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications. [Masters Thesis]. University of Toledo; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345081406

27. Lakshminarayanan, Mahalakshmi. ACE: Agile,Contingent and Efficient Similarity Joins Using MapReduce.

Degree: MSin Engineering, Engineering (Computer Science), 2013, University of Toledo

 Similarity Join is an important operation for data mining, with a diverse range of real world applications. Three efficient MapReduce Algorithms for performing Similarity Joins… (more)

Subjects/Keywords: Computer Science; Engineering; Similarity Joins, Multisets, MapReduce, Hadoop

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APA (6th Edition):

Lakshminarayanan, M. (2013). ACE: Agile,Contingent and Efficient Similarity Joins Using MapReduce. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1383931387

Chicago Manual of Style (16th Edition):

Lakshminarayanan, Mahalakshmi. “ACE: Agile,Contingent and Efficient Similarity Joins Using MapReduce.” 2013. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1383931387.

MLA Handbook (7th Edition):

Lakshminarayanan, Mahalakshmi. “ACE: Agile,Contingent and Efficient Similarity Joins Using MapReduce.” 2013. Web. 23 Oct 2019.

Vancouver:

Lakshminarayanan M. ACE: Agile,Contingent and Efficient Similarity Joins Using MapReduce. [Internet] [Masters thesis]. University of Toledo; 2013. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1383931387.

Council of Science Editors:

Lakshminarayanan M. ACE: Agile,Contingent and Efficient Similarity Joins Using MapReduce. [Masters Thesis]. University of Toledo; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1383931387

28. Sundani, Harsh. Design and Fabrication of a Micro-Machined Free-Floating Membrane on a Flexible Substrate.

Degree: MS, Electrical Engineering, 2010, University of Toledo

 A MEMS device might function perfectly well in the controlled environment in which it has been created. However, the device can be a real viable… (more)

Subjects/Keywords: Electrical Engineering; Materials Science; Mechanical Engineering; Kapton; PDMS; flexible; membrane; free-floating; fabrication; design

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APA (6th Edition):

Sundani, H. (2010). Design and Fabrication of a Micro-Machined Free-Floating Membrane on a Flexible Substrate. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279314172

Chicago Manual of Style (16th Edition):

Sundani, Harsh. “Design and Fabrication of a Micro-Machined Free-Floating Membrane on a Flexible Substrate.” 2010. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279314172.

MLA Handbook (7th Edition):

Sundani, Harsh. “Design and Fabrication of a Micro-Machined Free-Floating Membrane on a Flexible Substrate.” 2010. Web. 23 Oct 2019.

Vancouver:

Sundani H. Design and Fabrication of a Micro-Machined Free-Floating Membrane on a Flexible Substrate. [Internet] [Masters thesis]. University of Toledo; 2010. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279314172.

Council of Science Editors:

Sundani H. Design and Fabrication of a Micro-Machined Free-Floating Membrane on a Flexible Substrate. [Masters Thesis]. University of Toledo; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1279314172

29. Buddala, Santhoshi Snigdha. Analysis and Modeling of Parallel Photovoltaic Systems under Partial Shading Conditions.

Degree: MSin Electrical Engineering, Electrical Engineering, 2014, University of Toledo

 Since the industrial revolution, fossil fuels like petroleum, coal, oil, natural gas and other non-renewable energy sources have been used as the primary energy source.… (more)

Subjects/Keywords: Electrical Engineering; Energy

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

APA (6th Edition):

Buddala, S. S. (2014). Analysis and Modeling of Parallel Photovoltaic Systems under Partial Shading Conditions. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1387732745

Chicago Manual of Style (16th Edition):

Buddala, Santhoshi Snigdha. “Analysis and Modeling of Parallel Photovoltaic Systems under Partial Shading Conditions.” 2014. Masters Thesis, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1387732745.

MLA Handbook (7th Edition):

Buddala, Santhoshi Snigdha. “Analysis and Modeling of Parallel Photovoltaic Systems under Partial Shading Conditions.” 2014. Web. 23 Oct 2019.

Vancouver:

Buddala SS. Analysis and Modeling of Parallel Photovoltaic Systems under Partial Shading Conditions. [Internet] [Masters thesis]. University of Toledo; 2014. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1387732745.

Council of Science Editors:

Buddala SS. Analysis and Modeling of Parallel Photovoltaic Systems under Partial Shading Conditions. [Masters Thesis]. University of Toledo; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1387732745

30. Cross, Lee W. Design of Microwave Front-End Narrowband Filter and Limiter Components.

Degree: PhD, College of Engineering, 2013, University of Toledo

 This dissertation proposes three novel bandpass filter structures to protect systems exposed to damaging levels of electromagnetic (EM) radiation from intentional and unintentional high-power microwave… (more)

Subjects/Keywords: Electromagnetics; Electrical Engineering; Plasma Physics; microwave; bandpass filter; narrowband; half-mode substrate integrated waveguide; bent hairpin; microstrip; plasma limiter; frequency selective surface; plasma absorber

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cross, L. W. (2013). Design of Microwave Front-End Narrowband Filter and Limiter Components. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364837580

Chicago Manual of Style (16th Edition):

Cross, Lee W. “Design of Microwave Front-End Narrowband Filter and Limiter Components.” 2013. Doctoral Dissertation, University of Toledo. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364837580.

MLA Handbook (7th Edition):

Cross, Lee W. “Design of Microwave Front-End Narrowband Filter and Limiter Components.” 2013. Web. 23 Oct 2019.

Vancouver:

Cross LW. Design of Microwave Front-End Narrowband Filter and Limiter Components. [Internet] [Doctoral dissertation]. University of Toledo; 2013. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364837580.

Council of Science Editors:

Cross LW. Design of Microwave Front-End Narrowband Filter and Limiter Components. [Doctoral Dissertation]. University of Toledo; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364837580

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