Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Nanobiotechnology (2)
- Anomaly detection (Computer security) (1)
- BCI (1)
- Biomimetic materials (1)
- Biomimetic sensor (1)
-
- Biosensor (1)
- Biosensors (1)
- Brain-computer interfaces (1)
- CCA (1)
- Computer algorithms (1)
- Computer software (1)
- DNA (1)
- DNA nanotechnology (1)
- Debugging in computer science (1)
- Drug delivery (1)
- Drug delivery systems (1)
- EEG (1)
- Electroencephalography (1)
- Evoked potentials (Electrophysiology) (1)
- Fluorescence (1)
- Fluorescence spectroscopy (1)
- Foward-closed (1)
- MSI (1)
- Machine learning (1)
- Macromolecules (1)
- Milk (1)
- Multi-objective function (1)
- Nanoparticle (1)
- Nanotechnology (1)
- Nucleic acid (1)
Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Development Of Dual Functional Dna/Rna Nanostructures For Drug Delivery, Vibhav Amit Valsangkar
Development Of Dual Functional Dna/Rna Nanostructures For Drug Delivery, Vibhav Amit Valsangkar
Legacy Theses & Dissertations (2009 - 2024)
In addition to the traditional biochemical functions, DNA and RNA have been increasingly studied as building blocks for the formation of various 2D and 3D nanostructures. DNA has emerged as a versatile building block for programmable self-assembly. DNA-based nanostructures have been widely applied in biosensing, bioimaging, drug delivery, molecular computation and macromolecular scaffolding. A variety of strategies have been developed to functionalize these nanostructures. The major advantage is that DNA is a very stable molecule and its base-pairing properties can be easily utilized to control and program the formation of desired nanostructures. In addition, some of these DNA/RNA nanostructures have …
Increasing Performance Of Classifiers For Ssvep-Based Brain-Computer Interfaces Using Extension Methods, Ethan Douglas Webster
Increasing Performance Of Classifiers For Ssvep-Based Brain-Computer Interfaces Using Extension Methods, Ethan Douglas Webster
Legacy Theses & Dissertations (2009 - 2024)
Brain-computer interfaces (BCI) provide an alternative communication method that does not require standard physical mediums (speech, typing, etc.). These systems have been implemented to provide additional communication and control options for people with certain motor disabilities. Classification is an important part of BCI systems and consists of inferring user commands from brain activity. Supervised classification methods often achieve higher accuracy, but unsupervised classification methods are useful when training is not practical for the user. This thesis focuses on unsupervised classification algorithms used for a BCI speller application and presents extensions for two existing classifiers that improve classification accuracy and thus …
Sequentially-Closed And Forward-Closed String Rewriting Systems, Yu Zhang
Sequentially-Closed And Forward-Closed String Rewriting Systems, Yu Zhang
Legacy Theses & Dissertations (2009 - 2024)
In this dissertation we introduce the new concept of sequentially-closed string rewriting systems which generalizes forward-closed string rewriting systems and monadic string rewriting systems. We also investigate subclasses and properties of finite and regular sequentially-closed systems and forward-closed systems.
Towards Machine Learning In Chemical Sensing : Milk Differentiation And Quality Control Through Two-Dimensional Nano-Sensor Array, Yu Sheng Chen
Towards Machine Learning In Chemical Sensing : Milk Differentiation And Quality Control Through Two-Dimensional Nano-Sensor Array, Yu Sheng Chen
Legacy Theses & Dissertations (2009 - 2024)
Herein, we developed a novel artificial tongue using machine learning and 12 nanoassemblies (2D-NAs) to identify and analyzed different kinds of milk beverages for quality control. This biomimetic sensor array was trained to “taste” different milk types as an “artificial tongue” which is the first time we demonstrated that this sensor array can be implemented to complex systems. Two-dimensional nanoparticles (2D-nps) and nine fluorescently labeled single stranded oligonucleotides (ssDNA) with different length and nucleobases were assembled to create 12 2D-NAs. The artificial tongue was deployed to identify and analyze five milk types. All five milk types were discriminated with 95% …
Invariant-Based Online Software Anomaly Detection And Selective Regression Testing, Yizhen Chen
Invariant-Based Online Software Anomaly Detection And Selective Regression Testing, Yizhen Chen
Legacy Theses & Dissertations (2009 - 2024)
Software has been extensively used in various domains to provide online services. With the growing popularity of these types of applications, the quality of the software has a great impact on many of our daily activities [1]. Reliable software executions that deliver expected outcomes are essential for quality services. Software is considered abnormal when its behavior deviates from what is expected at any point during its execution. When anomalous behavior propagates to an exit point of the software and produces an incorrect output or an unexpected termination of the execution, it is considered a software failure. An anomaly may or …