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 548 for “"Multi-modal"”.
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Multi-Modal Regualtion of Actin Networks
… studied the molecular mechanisms for the multi-modal regulation of actin networks by actin binding proteins.</p>
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Dynamically generated multi-modal application interfaces
This work introduces a new UIMS (User Interface Management System), which aims to solve numerous problems in the field of user-interface development arising from hard-coded use of user interface toolkits. The presented solution is a concrete system architecture based on the abstract ARCH model …
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Multi-modal imaging of herpesvirus infection
… Furthermore, the precise roles of multiple viral gene products that are important for HSV- 1 assembly remain to be fully characterised. I used cryo-soft-X-ray tomography to image the ultrastructure of cryopreserved infected cells in 3D. In order to analyse these tomograms I …
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Transparent Analysis of Multi-Modal Embeddings
… they are comparable or can be fused together. Multi-modal semantics aims to enhance Embeddings with perceptual input, based on the assumption that the representation of meaning in humans is grounded in sensory experience. Most multi-modal research focuses on downstream tasks, involving direct …
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Salt River multi modal transport interchange
… to redesign Salt River Train Station into a multi modal transport interchange. I argue that this multimodal interchange can have an urban developmental and regenerative effect that can address some of the challenges faced in our urban landscape. This design report will attempt to document the …
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The multi-modal traffic assignment problem.
Thesis. 1979. Ph.D.--Massachusetts Institute of Technology. Alfred P. Sloan School of Management.
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Multi-modal spectroscopy of breast tissue
Breast cancer is the most common form of cancer afflicting women in the United States; one out of eight women will be diagnosed with breast cancer during her lifetime. Currently, screening is performed by a combination of annual clinical breast examinations and x-ray mammography. However, only 10 …
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Multi-Modal Topic Sentiment Analytics for Twitter
… that is designed to leverage the power of the multiple models in the social context. The framework aims to classify contextual sentiment from the Twitter data as well as to discover hidden trends and topics (context) using topic modeling techniques like Latent Dirichlet Allocation (LDA). We …
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Classifying Sidewalk Materials Using Multi-Modal Data
… specifically designed for the classification of multi-modal sidewalk materials. The proposed framework aims to empower individuals with BLV to automatically gather information about sidewalk materials while navigating their surroundings. This innovative solution comprises two primary components. …
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Multi-modal learning for image and beyond
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01
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Contact-aware and multi-modal robotic manipulation
… contact information, and the design of efficient modality-fusion algorithms to integrate these capabilities into robotic action planning. This work addresses these challenges by (1) proposing novel mechanical designs that enable touch sensors to adopt more compact and versatile forms while …
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Computational perception for multi-modal document understanding
Multimodal documents occur in a variety of forms, as graphs in technical reports, diagrams in textbooks, and graphic designs in bulletins. Humans can efficiently process the visual and textual information contained within to make decisions on topics including business, healthcare, and science. …
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Multi-modal registration for image-guided therapy
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Reinforcement Learning for Multi-modal Human-Robot Interaction
… living (ADLs), assistive robots must understand multimodal inputs, engage in dynamic interaction, and adapt to vague or evolving instructions. We approach this problem through a unified framework that spans low-level interaction policy learning, user simulation, and high-level task planning. …
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Multi-modal public transport modelling under traffic disruptions
This study presents a novel integrated multi-modal modelling framework for dynamic public transport (PT) networks, addressing the limitations of single-mode analysis in disruption impact assessment. Our approach extends the traditional Gravity Models-based OD estimation method by incorporating …
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Multi-modal on-body sensing of human activities
… unnecessary. Finally we suggest a modular and multi-modal recognition system; modular with respect to sensors, algorithms, and gesture classes. This means that adding or removing a sensor modality or an additional algorithm has little impact on the rest of the recognition system. Sensors and …
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Minimum description length, regularisation and multi-modal data
… The new cost function is tested on a number of multi-valued problems such as a simple inverse kinematics problem. It is also tested on a number of classification and regression problems. The mode-seeking property of this cost function is shown to improve prediction in time series problems. …
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Entity recognition for multi-modal socio-technical systems
… entity classes that are relevant for analyzing multi-modal, socio-technical systems. Another limitation with current entity extractors is that they mainly support the detection of named entities, typically in the form of proper nouns. The presented solution also detects entities not referred to …
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