Global ETD Search

Advancing Alzheimer’s detection: multimodal deep learning and vision transformers for neuroimaging analysis

Huijsing, M.2025

tilburg Repository record for Advancing Alzheimer’s detection: multimodal deep learning and vision transformers for neuroimaging analysis (opens in a new tab)

Multi-modal Multi-Level Neuroimaging Fusion with Modality-Aware Mask-Guided Attention and Deep Canonical Correlation Analysis to Improve Dementia Risk Prediction

Singh, Swapnil SatyendraVirginia Tech2025

… planning. This thesis presents a novel multimodal deep learning framework that integrates T1-weighted MRI and Amyloid PET imaging to improve the diagnosis and stratification of AD. The proposed architecture leverages a two-stage pipeline involving modality-specific feature extraction …

vt Repository record for Multi-modal Multi-Level Neuroimaging Fusion with Modality-Aware Mask-Guided Attention and Deep Canonical Correlation Analysis to Improve Dementia Risk Prediction (opens in a new tab)

Polar Region Sea Ice Classification With Multimodal Learning

Lechamo, Nathan2024

… of sea ice. This thesis presents a multimodal learning approach for classifying polar sea ice thickness using both satellite imagery and altimetry data. The objective is to distinguish between thick ice, thin ice, and open water, which are crucial for understanding ice dynamics and …

tdl Repository record for Polar Region Sea Ice Classification With Multimodal Learning (opens in a new tab)

Deep Learning Based Approaches For Low Cost Defense Detection

Noel-Rickert, Adele J2026

… structures. This thesis investigates the use of multimodal deep learning techniques to assist in pul- monary fibrosis detection by integrating chest X-ray images with corresponding radiology reports. Pretrained medical vision–language models, including BioViL-T, PubMedCLIP, and KAD, are used to …

nmu Repository record for Deep Learning Based Approaches For Low Cost Defense Detection (opens in a new tab)

A Study on Multimodal AI for Mild Cognitive Impairment Detection

Far Poor, Farida

… or prosody), but recent studies have shown that multimodality leads to a more accurate prediction of MCI. However, effectively exploiting different modalities is still a big challenge due to the lack of efficient fusion methods. This thesis proposes a mid-level fusion architecture to make use of …

denver Repository record for A Study on Multimodal AI for Mild Cognitive Impairment Detection (opens in a new tab)

APPLYING MACHINE LEARNING TO ANALYZE INFLUENCERS' MULTIMODAL (NONVERBAL AND VERBAL) BEHAVIORS IN LIVESTREAMS

KOU, YU (Eric)Temple University. Libraries2025

… persuasion content in livestream videos is multimodal, comprising both verbal and nonverbal communication. However, prior research in influencer video marketing only focuses on influencers’ unimodal content, such as their language, facial expressions, or acoustic signals. There has been …

temple Repository record for APPLYING MACHINE LEARNING TO ANALYZE INFLUENCERS' MULTIMODAL (NONVERBAL AND VERBAL) BEHAVIORS IN LIVESTREAMS (opens in a new tab)

COMPUTATIONAL ENZYME ENGINEERING: FROM MOLECULAR MODELING TO MACHINE LEARNING

WEI, YAOUniversità degli Studi di Milano2026

… integrating molecular modeling and machine learning, collaborating with experimental expertise to improve enzyme design, predict biocatalytic behavior, and expand catalytic capabilities. A main focus of this work is the prediction of cytochrome P450 (CYP450)-mediated metabolism and …

milano Repository record for COMPUTATIONAL ENZYME ENGINEERING: FROM MOLECULAR MODELING TO MACHINE LEARNING (opens in a new tab)

Advancing Deep Learning Across Modalities: From Explainability to Multimodal Content Understanding

NAPOLITANO, DAVIDEPolitecnico di Torino2026

L'abstract è presente nell'allegato / the abstract is in the attachment

poli-torino Repository record for Advancing Deep Learning Across Modalities: From Explainability to Multimodal Content Understanding (opens in a new tab)