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 121 for “"Multi-source"”.
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Multi-source human identification
In this thesis, a multi-source system for human identification is developed. The system uses three sources: face classifier, height classifier, and color classifier. In the process of developing this system, classifier combination and the integration of classifer outputs over sequences of data …
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Multi-source contingency clustering
This thesis examines the problem of clustering multiple, related sets of data simultaneously. Given datasets which are in some way connected (e.g. temporally) but which do not necessarily share label compatibility, we exploit co-occurrence in- formation in the form of normalized multidimensional …
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Multi-source energy harvesting for lightweight applications
… harvesting from solar and 915-MHz RF energy sources. An important design objective is to minimize system weight while maximizing output power and operating time for applications in the sub-170-mg and single-mW ranges. The resulting energy harvesting system uses a unique approach of …
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Multi-source Energy Harvesting for Wildlife Tracking
… an innovative wildlife tracking collar with multi-source energy harvester with advantage of high efficiency and reliability is proposed. This multi-source energy harvester entails a solar energy harvester and an innovative rotational electromagnetic energy harvester is mounted on the …
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Deep Neural Networks for Multi-Source Transfer Learning
… to leverage previously acquired knowledge from source domain to assist in completing a task in a similar target domain. Many existing transfer learning methods deal with single source transfer learning, but rarely consider the fact that information from a single source can be inadequate to a …
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Integrating Multi-Source Weather Data for Deep Learning
… This project extracts weather events data from multiple data sources that are supported by National Centers for Environmental information (NCEI) [1] and Amazon Web Services (AWS) [2]. Data sources include Next-Generation NEXRAD [3] Doppler radar reflectivity, GOES-16 [4] multi-channel satellite …
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Bayesian model-based clustering of multi-source data
… problem is analysis of data generated across multiple sources. Bayesian mixture models and their extensions are effective tools for partition inference in this setting as we can use these to describe and infer the relationship between different sources. I consider applying such methods to two …
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Multi-source domain adaptation with mixture of experts
… approach for unsupervised domain adaptation from multiple sources. The key idea is to explicitly capture the relationship between a target example and different source domains. This relationship, expressed by a point-to-set metric, determines how to combine predictors trained on various domains. …
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Intuitive Audio Interaction and Control in Multi-Source Environments
… audio contexts, such as music, where distinct sources are easily separable. However, its utility diminishes in dense, overlapping conversations, highlighting the need for finer control mechanisms. While gaze and segmentation offer promising refinements, cognitive load and system responsiveness …
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The selection of raters in a multi-source feedback process
In recent years, multi-source feedback (MSF) has emerged as a popular performance appraisal method. This method promises performance evaluation data that is less biased, more reliable, and more valid than the traditional supervisor-only appraisal method. However, given that it is common practice in …
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Hybrid intelligent systems integration into complex multi-source information systems
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Broadband PIFA Rectenna Design for a Multi-Source Energy Harvesting Device
Combining different energy harvesting devices to optimize output power is crucial to the achievement of sustainable energy. This thesis focuses on the design, simulation and fabrication of a broadband Planar Inverted-F Antenna (PIFA) constructed for energy harvesting and its integration with a …
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Réactions du chef de PME après utilisation d'un système d'évaluation multi-source
… using instruments of performance evaluation. The multi-source feedback or 360 [degrees] is one of those. The literature seems still silent on what type of evaluation is really about the reaction it generates among evaluated. In response to a request from the Groupement des chefs d'entreprise du …
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Empowering RCT with Multi-site Multi-source RWD: a Statistical Learning Perspective
… lack of randomization. Integrating these data sources effectively can enhance both statistical efficiency and external validity, yet it requires overcoming issues such as heterogeneity across clinical sites, bias from unmeasured confounding, and model shifts between trial and real-world …
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Fusion Approaches to Individual Tree Species Classification Using Multi-Source Remotely Sensed Data
… Random Forest (RF) algorithms to incorporating multispectral imagery (MSI), a very high spatial resolution panchromatic image (PAN), and Light Detection and Ranging (LiDAR) data for five object-based tree species classification in an urban environment. The results demonstrated that 3D structural …
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Human Behavior in Context: Analyzing Routines and Interactions Through Multi-Source Behavioral Data
The availability of new data sources following the digital revolution has greatly enhanced our ability to study human behaviour in real-world contexts. This development has given rise to Computational Social Science, a new discipline that aims to uncover patterns in human behaviour through an …
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Seismic precursor identification method integrating acoustic emission physical models and multi-source data
… and field measurements, while integrating multi-source data and deep learning techniques to construct an intelligent precursor warning framework. The main research work and conclusions are as follows: (1) An AE signal analysis method based on the critical fluctuation (MCF-B) approach is …
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