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Full-Text Articles in Engineering
A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh
A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh
Electronic Theses and Dissertations, 2020-
Deep Neural networks (DNN) are fundamentally information processing machines, which synthesize the complex patterns in input to arrive at solutions, with applications in various fields. One major question when working with the DNN is, which features in the input lead to a specific decision by DNN. One of the common methods of addressing this question involve generation of heatmaps. Another pertinent question is how effectively DNN has captured the entire information presented in the input, which can potentially be addressed with complexity measures of the inputs. In the case of patients with intractable epilepsy, appropriate clinical decision making depends on …
Leveraging Signal Transfer Characteristics And Parasitics Of Spintronic Circuits For Area And Energy-Optimized Hybrid Digital And Analog Arithmetic, Adrian Tatulian
Leveraging Signal Transfer Characteristics And Parasitics Of Spintronic Circuits For Area And Energy-Optimized Hybrid Digital And Analog Arithmetic, Adrian Tatulian
Electronic Theses and Dissertations, 2020-
While Internet of Things (IoT) sensors offer numerous benefits in diverse applications, they are limited by stringent constraints in energy, processing area and memory. These constraints are especially challenging within applications such as Compressive Sensing (CS) and Machine Learning (ML) via Deep Neural Networks (DNNs), which require dot product computations on large data sets. A solution to these challenges has been offered by the development of crossbar array architectures, enabled by recent advances in spintronic devices such as Magnetic Tunnel Junctions (MTJs). Crossbar arrays offer a compact, low-energy and in-memory approach to dot product computation in the analog domain by …
Micro-Credentialing With Fuzzy Content Matching: An Educational Data-Mining Approach, Paul Amoruso
Micro-Credentialing With Fuzzy Content Matching: An Educational Data-Mining Approach, Paul Amoruso
Electronic Theses and Dissertations, 2020-
There is a growing need to assess and issue micro-credentials within STEM curricula. Although one approach is to insert a free-standing academic activity into the students learning and degree path, herein the development and mechanism of an alternative approach rooted in leveraging responses on digitized quiz-based assessments is developed. An online assessment and remediation protocol with accompanying Python-based toolset was developed to engage undergraduate tutors who identify and fill knowledge gaps of at-risk learners. Digitized assessments, personalized tutoring, and automated micro-credentialing scripts for Canvas LMS are used to issue skill-specific badges which motivate the learner incrementally, while increasing self-efficacy. This …