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.
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Showing 1 to 11 of 11 for “"feature integration"”.
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Integrative and Multi-scale Deep Learning for 3D Point Cloud Transmission Corridor Scene Segmentation: Noise Filtering, Attention-Fused Feature Integration, and Panoptic Network
… solution integrating psychological theories of feature integration and attention engagement. NSANet achieves a 4.10% increase in F1-Score and a 7.30% improvement in recall by employing multiscale context, global physical priors, and local spatial attention for noise filtering, surpassing …
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Reconfigurable logic test methodologies for ISDN
… that could be reconfigured to provide the test features associated with each project. The three projects were, a power spectrum density (PSD) measurement facility for basic-rate ISDN, a bit-error rate test (BERT) facility for basic-rate ISDN, and a passive monitor for basic-rate ISDN. The …
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Two processing modes in visual search
Treisman's Feature Integration Theory and Cave and Wolfe's Guided Search Model are currently the two most prominent and widely accepted theories of visual search. Each accounts for data in a variety of paradigms but it appears that the principal theoretical position of each, that individual …
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Differential Effects of Divided Attention on Object Representations
… in explanation of object perception, such as Feature Integration Theory, which posits that an object is perceived after two stages: a pre-attentive stage and a focused attention stage. It is during the focused attention stage that a representation of the perceived object is formed. Theories …
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Technique for the design of matched antennas using method of moment-based greedy best-first search
… the limits of antenna performance and feature integration. Complex multi-band antennas that must satisfy stringent volumetric constraints are pushing the use of optimization tools to the top of the antenna designer's toolbox. Beyond parametric studies, global optimization algorithms …
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The role of Attentional Binding in Hallucination Proneness
… vulnerability in early perceptual encoding and feature integration under uncertainty. Findings support predictive processing accounts, showing that when bottom-up precision is weak, top-down expectations dominate, impairing discrimination without promoting impulsive responding.
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Detecting tumour signals from multi-modal biological features of cell-free DNA fragments
… detection. Emerging fragmentomic and epigenetic features underpin tumour-naive approaches to cancer screening for individuals with low tumour burden. cfDNA feature extraction depends on instrumental processes such as library preparation and feature extraction. First, I used sWGS data of ten …
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Action Intention Modulates the Temporal Dynamics of Object Feature Representation: An Electrophysiological Approach
… shown to influence the computation of visual features in a task-relevant manner. Ideomotor theories would suggest that the intention to act on an object is sufficient to integrate its task-relevant visual features, however, support for these theories draw from paradigms that arbitrarily …
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Behavioural and Neural Investigation of the Subjective Experience of Remembering
… the left angular gyrus (AnG) supports multimodal feature integration during episodic and semantic memory retrieval. Left AnG stimulation was found to selectively modulate response times in multimodal versus unimodal trials of both episodic associative recognition and semantic relatedness tasks, …
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Spatial mechanisms in the recovery of visual feature conjunctions
… processing and memory many of the component features of an object are independently represented in the visual system. The unity of visual experience appears to be dependent upon the recovery of feature conjunctions. The mechanism(s) responsible for re-establishing appropriate feature …
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Explainable AI for Social Good: Applications in Mental Health, Public Health Risk, and Environmental Traceability
… due to the introduction of the task-specific feature selector in the task-specific module; and 4. It shows through extensive experiments that for domain-specific classification tasks such as this, a combination of document-level embedding and topic distribution gives the best performance …