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 41 for “"continuous space"”.
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From Discrete to Continuous: Learning 3D Geometry from Unstructured Points by Random Continuous Space Queries
… that incorporates a global shape embedding space, which often fails to model fine-grained local details efficiently, limiting overall generalization performance. To overcome this problem, we propose a convolutional feature space sampling operation (Dual-Feature Sampling or DFS) and develop a …
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Investigating the Maximal Coverage by Point-based Surrogate Model for Spatial Facility Location Problem
… (SFLPs) involve the placement of facilities in continuous demand regions. One approach to solving SFLPs is to aggregate demand into discrete points, and then solve the point-based model as a conventional facility location problem (FLP) according to a surrogate model. Solution performance is …
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The effect of conspecific support on the asymptotic properties of competing species
… levels of existence. Up-scaling the model to continuous space variable leads to a model of pattern formation via local self-activation and lateral inhibition.
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Finding important entities in continuous streaming data
… objects that have a high density in the feature space. We show that the heavy hitters formulation generates solutions that are more accurate and effective than the clustering formulation. In addition, we present a novel online algorithm for heavy hitters, called HAC, which addresses problems in …
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Efficient Robot Motion Planning in Cluttered Environments
… the optimal motion planning problem in a continuous space to a search for the shortest path on a discrete graph abstraction. We investigate the computational bottlenecks in search: graph operations and collision evaluations and propose GLS, an algorithmic framework to balance the …
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Planning service facilities and infrastructures under continuous traffic equilibrium
… can be found in many contexts that involve a continuous space. Personal air vehicles (i.e., ``flying cars'' that can take off and land ``outside of a house or in a garden'') are being considered as an option to allow future travelers to utilize low-altitude air space. The freight industry …
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Embedding Network Information for Machine Learning-based Intrusion Detection
… IP addresses and transport-layer ports into a continuous space, called IP2Vec. We demonstrate this embedding on two separate datasets, CTU'13 and UGR'16, and combine the UGR'16 embedding with several machine learning methods. We compare the models with and without the embedding to evaluate the …
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Measure of Global Specialization and Spatial Clustering for the Identification of "Specialized" Agglomeration
… main objective is to propose, for discrete and continuous space: i) a measure of global specialization; ii) a local disaggregation of the global measure; and iii) a spatial clustering method for the identification of specialized agglomerations.
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Three essays in microeconomics of public enterprises under asymmetric information and uncertainty
… regularity conditions and are obtained for a continuous space.
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Compositional Robot Learning for Generalizable Interactions
… with sampling-based planners to plan in continuous space. Then we show how we can formulate social interactions as reward operations and apply recursive reward estimation to enable robots to reason about novel social interactions. Finally, we explore an alternative approach to incorporate …
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Neural graph representation learning with application to chemistry
… focus on deep learning algorithms for learning continuous representation of molecular graphs, a much more compact representation than traditional fingerprints. We demonstrate its better predictive performance in two tasks. First, we seek to automate the prediction of organic reaction outcomes. …
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The Traveling Salesman Problem and orienteering for kinodynamic vehicles
… and the target points are distributed over a continuous space, this problem is especially relevant to robotics. Although this problem is considered computationally intractable to solve precisely, in many settings a good approximate path can be computed efficiently. We study the case where the …
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A landscape approach to the surface archaeology of the Bos River, Tankwa Karoo, Northern Cape
… and ecologically variable, to be viewed as a continuous space. The benefit of this approach allows for all artefacts across all types of settings to be analysed, providing a spatially subjective distribution of artefacts across the landscape. The evidence described in this thesis demonstrates …
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Observability and observer design for switched linear systems
… Such switched systems consist of a set of continuous-time dynamical behaviors whose sequence of operational modes is driven by an underlying decision process. This thesis investigates feasibility conditions and a methodology for state and mode reconstruction given input-output measurements …
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Adaptive Estimation and Detection Techniques with Applications
… to time evolution of the true mode over a large continuous space. In this research, variable-structure multiple model (VSMM) estimation was investigated, further developed and evaluated. A fundamental solution for on-line adaptation of model sets was developed as well as several VSMM algorithms. …
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Mathematical models for vector-borne infectious disease mapping with application to Dengue disease in Malaysia
… SIR-SImodels using 'discrete time, discrete space' and 'continuous time, discrete space' data. Ourfirst type of stochastic models comprises extensions of the discrete time stochastic SIRmodel proposed by Lawson (2006) and involves the theoretical construction and iterativeevaluation of SIR-SI …
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Obstacle-Aware Wireless Video Sensor Network Deployment For 3D Indoor Space Monitoring
… as a leading technology for monitoring 3D indoor space in campus, industrial and medical areas as well as other types of environments. In contrast to traditional sensors such as heat or light sensors often considered with omnidirectional sensing range, the sensing range of a video sensor is …
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Perturbation Modeling for Molecular Design of Protein Tyrosine Kinase Inhibitors using Unsupervised Machine Learning
… excelled as tools to aid in navigating the large space of known molecules and in the creation of new molecules. These models are fed various representations of molecules as inputs and learn to perform a variety of things, such as the optimization of these molecules towards a targeted property. …
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Theoretical and computational advances in finite-size facility placement and assignment problems
… of this optimization problem lies in its continuous non-convex/non-concave feasible space, which makes it tough to escape local optimality. Through this research, novel approaches will be proposed which can be used to distill this continuous space into a finite set of candidate solutions, …
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Physical interpretation of coarse-grained bead-spring models of complex fluids
… weights of 104 - 106 g/mol using lattice and continuous space molecular simulations.
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