Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 63 for “"self-learning"”.
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Myopia management leadership and modern orthokeratology self-learning in troubleshooting
… 2020). Myopia Management Leadership & Self-learning in Orthokeratology is an instructional design textbook focusing on the Ortho-K learners' perspective in troubleshooting. This modern Ortho-K education is a concise and advanced curriculum that encourages learners to think purposefully …
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Self learning strategies for experimental design and response surface optimization
… In this dissertation, we present a number of self-learning strategies for optimization of different types of response surfaces for industrial experiments with noise, high experimentation cost, and requiring high design optimization performance. The proposed approach is a sequential adaptive …
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Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios
… achieve the main features of cognition, notably, self-learning and self-reconfiguration. The proposed CR architecture is based on a sequence of signal processing and machine learning techniques that enable the Radiobot to sense a wide frequency band and act autonomously by learning from past …
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A self-learning framework for validation of runtime adaptation in service-oriented systems
… consumer-centred approach that uses machine learning to continuously validate and refine runtime adaptation in service-oriented systems, through model-based clustering and deep learning. To evaluate the efficacy of the approach a medium sized health care case study was devised and …
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Modeling of Hysteretic Behavior of Beam -Column Connections Based on Self -Learning Simulation
… variables are introduced to expedite the learning of hysteretic behavior of materials or structural components. The model has significant advantages over conventional models in that it can handle complex behavior due to local buckling and tearing of connecting elements. Moreover, its …
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Field Calibration of Time-Dependent Behavior in Segmental Bridges Using Self -Learning Simulation
… improve the camber of segmental bridges using a self-learning simulation.
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Exploring the use of ChatGPT and the Prompting Framework as a Self-learning Aid for Arduino Coding & Circuit Building for Artists and Designers
… it is now possible to receive personalized learning in STEM subjects. Hence, in an effort to enhance selflearning practices of STEM topics among artists and designers, this research delves into the efficacy of integrating ChatGPT and a structured prompting framework for teaching Arduino …
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Solver Tuning with Genetic Algorithms
… As an instance-based tuning algorithm, the self-learning genetic algorithm, which suggests or predicts a suitable solver configuration for test instances by learning from train instances, is proposed in this thesis. To improve the efficiency of the instance-based tuning in further, a …
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Understanding disease through a post-modern art practice : (a collaboration of artistic and educational practice)
… I propose definitions for three phases of learning, which emerge from my artistic practice: self-learning, self-healing and collaborative learning. These experiences are discussed in relation to an analysis of five works of art. This learning process leads to the articulation of a …
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Motion design, control and implementation in robot manipulators
… all the elements necessary for an autonomous self experimentation system. This feature is exploited in the derivation and implementation of two further schemes which are termed self learning. In these, the robot's trajectory is stored as a set of discrete data. Algorithms are developed for …
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The development of in-process surface roughness prediction systems in turning operation using accelerometer
… employed in the fuzz-nets-system were rule banks self-extracted from the training data by the fuzzy-nets self-learning algorithm.;The predicted surface roughness values were compared with corresponding measured values. The average prediction accuracy with the three algorithms, linear multiple …
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Bayesian inference algorithm on Raw
… system is a growing interest in creating a self-learning and cognitive processor, which these hardware and software components can potentially produce. The Bayesian inference algorithm is mapped onto Raw in a variety of ways to try to account for the fact that different implementations give …
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Expert systems in on-line process control and fault diagnosis
… these hypotheses. Further research concerning self-reasoning has been done for the qualitative model based diagnosis approach. Self-reasoning is achieved by backward tracing through the model of the diagnosis system and makes this diagnosis system more intelligent. Self-learning of heuristic …
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Second and foreign language programmes in France
… in particular the immersion method and the self-learning method used in Canada, and the methods of the so-called European Schools. The conclusions are as follows. In order to respond to the demands of the public and the pressure of the international economic and political stiuation, French …
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Harnessing the Power of Self-Training for Gaze Point Estimation in Dual Camera Transportation Datasets
… limitations, this thesis investigates the use of self-learning techniques such as semi-supervised learning and self-training, which can reduce the need for labeled data while maintaining high accuracy. The proposed method is evaluated on the DGAZE dataset and achieves a 57.2\% improvement in …
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Digital competencies of high school mathematics teachers in Pakistan
… digital resources into mathematics teaching and learning. To achieve this aim, the study adapted the “Digital Competencies for Teaching Mathematics with Technology” (DCTMT) framework. Employing a mixed-methods explanatory sequential design, the study was divided into two phases for data …
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Harmonic elimination by switching angle optimization technique for multilevel inverter
… By tuning the PI controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMLI can be improved. This project is to provide a model of the multilevel inverter using 7-level CHBMLI DC-AC converter to reduce THD. The simulation results with using …
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Powering Next-Generation Artificial Intelligence by Designing Three-dimensional High-Performance Neuromorphic Computing System with Memristors
… (3) synaptic plasticity and associative memory learning [1, 2]. In this dissertation, the next-generation platform of artificial intelligence is explored by utilizing memristors to design a three-dimensional high-performance neuromorphic computing system. The low-variation memristors (fabricated …
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Managing Depression: Stories of Patients and Their Families Pursuing Mental Health after Psychiatric Hospitalization
… It relied upon narrative theory, theories of self-efficacy, and theories of depression to guide the research process as well as the field of knowledge about rehospitalization, relapse prevention, depression, and self-efficacy. Participants described depression associated with loss, feeling …
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