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 20 of 21 for “"Fusion Model"”.
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The design of an effective sensor fusion model for condition monitoring systems of turning processes
… research aims to develop an effective sensor fusion model for turning processes for the detection of tool wear. Multi-sensors combined with a novelty detection algorithm and Learning Vector Quantisation (LVQ) neural networks are used in this research to detect tool wear and provide diagnostic …
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Deconstructing a domain into its cognitive attributes: test construction and data analysis
If a cognitive model of learning provides the framework for both the educational system (i.e., curriculum, instruction, and assessment) and the design of the assessment, then both learning and instruction are optimized (Huff & Goodman, 2007). In this paper I describe the process of creating a …
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Efficient Multi-Sensor Fusion for 3D Perception
… cost. In this thesis, I develop two multisensor fusion models for 3D Perception: BEVFusion, a camera-LiDAR fusion model, and BEVFusion-R, a camera-radar fusion model. BEVFusion seeks to balance accuracy and speed. By fusing features from each input modality in the shared bird’s eye view space, it …
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Production of omega and phi mesons by 193 GeV/c pions and 250 GeV/c protons on a beryllium target
… beam types are compared. When a simple parton fusion model is used to describe the Feymnan-X distributions the omega appears to be produced predominantly by gluon fusion.
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The application of a cognitive diagnostic model on the test of practical Chinese
Cognitive Diagnostic Models (CDMs) are frequently used in the second language proficiency exams to analyze test takers’ strengths and weaknesses. This study retrofits a CDM known as the Fusion model onto a non-diagnostic test data from the reading comprehension test of the Test of Practical Chinese …
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A psychodynamic approach to short-term couples therapy in clinical social work : some aspects of the combined conjoint-concurrent technique
… couples relationship. The writer has chosen a "fusion model" comprising of the intra and inter-personal intervention strategies. The therapeutic format of choice proposed by the writer favours a time-limited psychodynamic approach which operates through the medium of a combined …
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Multisensor Multitemporal Fusion for Remote Sensing using Landsat and MODIS Data
… points in time, researchers have proposed data-fusion approaches that combine existing Landsat data with images from other sensors, such as MODIS (Moderate Resolution Imaging Spectroradiometer) from the Terra and Aqua satellites. MODIS provides daily revisits, however, with a spatial resolution …
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Delayed fluorescence as a probe of radiationless transitions in anthracene and algae
… algae is explained in terms of a triplet exciton fusion model in which the production of triplets is mediated by a photochemical reaction center (photosystem II). The evidence for this model is based on an extensive study of the time dependence of the luminescence decay and the observation that, …
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Multi-modal Multi-Level Neuroimaging Fusion with Modality-Aware Mask-Guided Attention and Deep Canonical Correlation Analysis to Improve Dementia Risk Prediction
… using ResNet50 backbones, followed by middle fusion enhanced with a Modality-Aware Mask-Guided Attention (MAMGA) mechanism. To address missing modalities and inter-modal misalignment, the model incorporates Random Modality Masking and Deep Canonical Correlation Analysis (DCCA) for cross-modal …
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Intelligent Data Fusion for Applied Decision Support
<p>Data fusion technologies are widely applied to support a real-time decision-making in complicated, dynamically changing environments. Due to the complexity in the problem domain, artificial intelligent algorithms, such as Bayesian inference and particle swarm optimization, are employed to make …
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A Modelling approach for evaluating the ranking capability of Situational Awareness System in real time operation. Modelling, evaluating and quantifying different situational assessment in real time operation, using an analytical approach for measuring the ranking capability of SWA system
… to the most important activity. The data fusion community have introduced the information fusion model, with multiple situational assessments. Each process lends itself to ranking the most important activities into a predetermined order. Unfortunately, the capability of a real time system …
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Neural Network Fusion of Multi-Modal Sensor Data For Autonomous Surface Vessels
… environment. This is done with three separate models: a LiDAR-only model, a camera-only model, and a deep fusion model. The LiDAR model demonstrates the feasibility of using LiDAR image projections as a valuable data representation. The camera model demonstrates the feasibility of …
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Deep learning applications in hyperspectral imaging for agriculture: image reconstruction and model design for quality prediction
… dataset is to promote the use of deep learning models in converting standard RGB images into HSI, thereby reducing the overall cost of data acquisition for HSI. The reconstructed spectra from the best performing reconstruction model had R^2 scores of 0.52, 0.88, and 0.85 in Brix, dry matter …
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Aerial reconstructions via probabilistic data fusion
In this thesis we propose a probabilistic model that incorporates multi-modal noisy measurements: aerial images and Light Detection and Ranging (LiDAR) to recover scene geometry and appearance in order to build a 3D photo-realistic model of a given scene. In urban environments, these …
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Wearable Gut and Brain Interfaces for Valence Detection and Modulation
… the stomach signal and motivational direction models as an alternative to traditional affective modalities and models. I present Joie, a joy-based electroencephalography (EEG) brain-computer interface (BCI); JoyNet, a neural network for joy detection with EEG; and KALM, an EEG, electrodermal …
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A Study on Multimodal AI for Mild Cognitive Impairment Detection
… a big challenge due to the lack of efficient fusion methods. This thesis proposes a mid-level fusion architecture to make use of multimodal data for MCI prediction. We introduce a multimodal speech-language-vision Deep Learning-based method to differentiate MCI from Normal Cognition (NC). Our …
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Development of a Remote Sensing-Based Agriculture Monitoring Drought Index and Its Application Over Semi-Arid Region
… we opted to develop a spatio-temporal image-fusion model (STI-FM) to generate synthetic Landsat-8 like data with 30 m spatial and 8 day temporal resolutions upon combining regular Landsat-8 (having 30 m spatial with 16 day temporal resolutions) with moderate-resolution imaging …
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Fusion of bovine fibroblasts to mouse embryonic stem cells: a model to study nuclear reprogramming
… tissue engineering, drug discovery, and disease modelling; additionally, in livestock species such as the bovine, they also have applications in genetic selection, production of transgenic animals for agricultural and biomedical purposes, and species conservancy. Nevertheless, ESC and iPSC lines …
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Characterization and Reconstitution of S-Palmitoylated IFITM3 Antiviral Activity
… stages of infection and interferes with viral fusion and content delivery to the cell cytoplasm. Despite this broad antiviral activity, the exact mechanism of IFITM3 viral fusion interference, and whether it directly interacts with the fusion environment remains unknown. To better understand …
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Forward charge flow in hadronic J/psi production
… with the prediction from simple parton fusion nodel.
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