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 25 for “"novel training"”.
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A novel training program for improving spatial orientation: A pilot study
… Fifteen healthy adults completed a 12-day training and were administered a comprehensive spatial behavioral assessment before and after the training program. The results showed that the training program significantly improved the participants’ general ability to form cognitive maps. The …
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Attentional Bias Modification: An Examination of Novel Training Contingencies and Stimulus Pairs
… Over the past two decades, research on training and modifying attention as a form of treatment for anxiety and depression, Attentional Bias Modification (ABM) treatment, has increased exponentially. ABM has been employed in research and clinical settings with varying levels of success …
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Classification of Marine Vessels in a Littoral Environment Using a Novel Training Database
… the creation of hundreds of databases for use as training sets in object classification algorithms. Datasets made up of thousands of cars, people, boats, faces and everyday objects exist for general classification techniques. However, no commercially available database exists for use with detailed …
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ENVIRONMENTAL MODEL ACCURACY IMPROVEMENT FRAMEWORK USING STATISTICAL TECHNIQUES AND A NOVEL TRAINING APPROACH
… or hurricanes. In this thesis, we proposed a novel framework to improve environmental model accuracy with a novel training approach. Extreme event detection algorithms are surveyed, selected, and applied in our proposed framework. The application of statistics in extreme events detection is …
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From Bedside To Mountainside: Preparing New Nurse Practitioners For Advanced Clinical Skills In Remote Settings Using A Novel Training Program
… to develop and pilot an expert-panel validated training program specifically for nurse practitioners (NPs) in remote settings, and to evaluate how new remote NPs rate their self-efficacy (a measure of confidence) in performing specific advanced clinical skills and procedures (ACSPs) before and …
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Hidden Markov model based visual speech recognition
… and sensitive to their contexts, three novel training strategies, referred to as two-channel training strategy, Maximum Separable Distance training strategy and HMM Adaptive Boosting strategy, are proposed to improve the discriminative power and robustness of an HMM classifier. Following …
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Recurrent neural networks in cognitive and vision neuroscience
This thesis investigates the development of novel training methodologies for biologically plausible neural networks, with a focus on models that incorporate recurrent dynamics characteristic of cortical circuits. First, we present an innovative approach for training stabilized supralinear networks, …
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Learning distributions of transformations from small datasets for applied image synthesis
… that are more diverse, realistic, and useful for training supervised systems than hand-engineered augmentation. We demonstrate our proposed augmentation method for improving few-shot object classification performance, using a new dataset of collectible cards with fine-grained differences. We also …
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Mental health professionals' attitudes toward borderline personality disorder and their experiences of co-produced dialectical behaviour therapy training
… health settings. MHPs acknowledge they need more training and education to effectively support individuals with emotion dysregulation. Training programmes like dialectical behaviour therapy (DBT) can improve professional attitudes and clinical approaches. Integrating personal recovery stories into …
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The impact of care competency training for primary care nurses in South Africa
… to investigate the impact of core competency training on primary care nurse competence. To begin this investigation, a framework or core competencies was generated through two reference group meetings. This work was followed by a Delphi study to further define core competence in primary care …
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Multimodal Human Behavior Modeling: From Understanding to Generation
… scenario understanding. Third, I introduce a novel egocentric action frame generation task for efficient skill learning, and an innovative method to enhance action generation performance by bridging the gap of large language models and diffusion models in the feature space. Finally, I propose …
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The Neural Substrates Supporting the Inhibition of Instrumental Avoidance Behavior
… of conditioned responding in response to novel contextual cues during extinction of discriminative avoidance behavior. The results supported this hypothesis, demonstrating that lesions of the ventral subiculum disrupted the contextual specificity of both extinction behavior and …
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Adaptive Neural Signal Detection for Massive MIMO
… structure (requiring models with millions of training parameters), or are overly-constrained to mimic algorithms that require very specific assumptions about the channel matrix. We propose MMNet, a deep learning MIMO detection scheme that significantly outperforms existing approaches on …
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Applications of the Koopman Operator: Novel Methods and Formulations for Lifted Linear Models
… are demonstrated. In addition, we demonstrate a novel training method that is enabled by Direct Encoding. Through the use of this method, we are able to accurately model the stable subspace of a system containing both stable and unstable subspaces, unlike with standard Deep Koopman methods. It is …
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Integration of Model- and Learning-based Methods in Image Restoration
… methods. Our first approach proposes a novel training strategy for deep convolutional neural networks (CNNs) that leverages theoretically concepts from transform domain and sparse representations. Its main idea consists of representing the convolutional kernels as linear combinations of …
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Improve the efficiency of conditional generative models
… challenges persist in ensuring efficient training of conditional generative models. These challenges include: 1) capturing the intricate relationship between data and its annotations, which can introduce biases; 2) higher computational resource requirements during training and inference …
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Effects of sprint interval training on neuromuscular fatigue and ACL injury risks in racquet sports athletes
… injury risks during cutting manoeuvres using a novel training programme that implemented average work; rest ratios of the each of the racquet sports involved. Study 1 investigated sex differences during badminton jump smashes in terms of performance and kinematics linked to ACL injuries. The …
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Cortical adaption influences excitability in the dominant and non-dominant hands following complex novel motor training
… if these differences in excitability following a training task would still be present if participants performed a task that was equally as difficult for both the dominant and non-dominant hands. Thus, the first goal of this thesis was to develop and validate a novel motor training task designed to …
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Capsule Networks: Framework and Application to Disentanglement for Generative Models
… the generated image quality. In this thesis, a novel generative model based on capsule networks and a variational autoencoder is proposed. Motivated by the concept of capsule neural networks and their vectorized output, these structures are employed to create a disentangled representation of …
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Combining Physics-based Modeling, Machine Learning, and Data Assimilation for Forecasting Large, Complex, Spatiotemporally Chaotic Systems
… observations are sparse and noisy. Using a novel iterative scheme, we show that DA can be used to obtain training data for successive generations of hybrid ML models, improving the forecast accuracy and the estimate of the full system state over that obtained using the imperfect …
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