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 12 of 12 for “"multimodal integration"”.
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Understanding the multimodal integration of emotional information during development
… little to no research has focused on the integration of emotion perception from body expressions combined with other modal information, especially during development. As a consequence, the aim of this thesis was to investigate developmental changes in neural activity underlying the …
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Multimodal integration in embodied conversational kiosk with augmented reality
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates
… aim of this thesis was to study the effects of multimodal integration of electroencephalography (EEG) and magnetoencephalography (MEG) data on the minimum ℓ₂-norm estimates of cortical current densities. We investigated analytically the effect of including EEG recordings in MEG studies versus …
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The role of intensity, temporal synchrony, and biogenic amines for unimodal and multimodal integration during learning and memory of honey bees and bumble bees
… the interplay between bimodal signal integration, multisensory processing, and the role of biogenic amines in learning and memory tasks of honey bees and bumble bees. The three chapters provide valuable insights into these interconnected concepts and on the mechanisms underlying bee’s …
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Multimodal Strategies of Host-Seeking Mosquitoes
… a human host, and so a mosquito must integrate multimodal sensory information before committing to approaching and biting a person. Mosquito host-seeking behavior is thus a particularly fruitful model for studying multimodal integration because of its robustness, intricacy, and public health …
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Healthcare Agents: Large Language Models in Health Prediction and Decision-Making
… in healthcare AI: (1) leveraging LLMs for multimodal health prediction from wearable sensor data and (2) developing collaborative AI framework for medical decision-making. We first introduce a Health-LLM framework that performs multimodal fusion of temporal physiological signals from …
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Eye-opening dependent elaboration and refinement of the cortical projection to the superficial superior colliculus in rats
… multi-layered midbrain structure responsible for multimodal integration and orienting behavior in mammals. The superficial layers of the SC (sSC) receive direct visual input from retinal ganglion cells (RGC) as well as input from pyramidal cells in layer V of the ipsilateral visual cortex (VC). …
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The dynamics of long-range intermodal transportation planning : using a high-speed rail connection to Bilbao Airport as a catalyst for change in the Basque Country
… This thesis aims to identify how multimodal integration and decision timelines impact network characteristics that collectively make the region more accessible for business travel both originating in and destined for the Basque Country. The high-speed rail alone will improve …
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Robust and Efficient AI-models for Medical Image Reconstruction, Segmentation, and Multimodal Knowledge Distillation
… image reconstruction, semantic segmentation, multimodal knowledge integration, and adversarial robustness. I propose Teach-Former, a multi-teacher knowledge distillation framework that enables lightweight models to absorb rich spatial and contextual representations from multiple large …
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From Face Perception to Individual Recognition: The Missing Link
<p>Recognizing other individuals is a key social aspect of our everyday lives. To recognize a familiar individual, we must establish a link between sensory inputs and a representation of that individual held in memory. In primates, faces play a particularly important role on the sensory side of …
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Non-invasive Assessment of Swallowing and Phonation using High-density Electromyography
… non-invasively align with functional onset. The integration of endoscopy, audio, and high-density sEMG data, enhanced physiological and functional understanding of phonation. Using Granger causality, it was found that extrinsic laryngeal muscle activity has a stronger influence on audio frequency …
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PATIENT SIMILARITY NETWORKS-BASED METHODS FOR MULTIMODAL DATA INTEGRATION AND CLINICAL OUTCOME PREDICTION
… expression. As a result, this data is both multimodal and high-dimensional, offering a more nuanced understanding of biological processes. Network Medicine is an innovative and interdisciplinary field of bioinformatics research that applies the principles of network science to understand and …