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 132 for “"Performance Metric"”.
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Probabilistic performance metric elicitation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Classification performance metric elicitation and its applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Effect of power amplifier nonlinearity on system performance metric, bit-error-rate (BER)
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Resource efficiency decision-making tools for industry: a new environmental performance metric for clinker manufacturing
… potential as an industrial environmental performance metric, as it combines the interactions between energy and materials into a single metric capable of highlighting inefficient processes and waste flows. Nonetheless, real-time studies of industrial operations are data-intensive and …
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Empirical Study on Improving Hate Speech Detection: Novel BERT based One-Versus-All Classification Approach (BOVAC) with a Novel Performance Metric: Global Performance (GP)
… improving the task of hate speech detection. The performance of the proposed approach is assessed based on an empirical study on a dataset which was previously constructed, cleaned and manually labeled by Davidson and colleagues (Davidson et al., 2017). In addition to presenting an approach to …
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Value drivers within SMEs: growth and value creation within the context of the Economic Value Added® framework
Value based performance measurement has become popular in modern day financial practices. Of the many value based measurements, the EVA® framework has gained much notoriety. It became the focus of much research because it has been widely implemented in many large organisations with professed …
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Multi-objective optimization of next-generation aircraft collision avoidance software
… process (POMDP) can dramatically increase system performance. However, the POMDP formulation relies on a number of design parameters modifying these parameters can dramatically alter system behavior. Prior work tunes these design parameters with respect to a single performance metric. This thesis …
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Interactive exploration of design space
… simultaneous optimization of conflicting performance objectives: Design variations that improve one performance metric may decrease another performance metric. In these scenarios, there is no unique optimal design but rather a set of designs that are optimal for different tradeoffs (called …
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Multi-path Penalty metric in underwater acoustic communication for autonomy and human decision-making
A novel performance metric to improve underwater digital acoustic communication, called Multipath Penalty (MPP), is proposed as an alternative to traditional signal-to-noise ratio (SNR) methods in the context of the Arctic Beaufort Sea. MPP and SNR are compared alongside a third performance metric, …
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Multi-path Penalty Metric in Underwater Acoustic Communication for Autonomy and Human Decision-making
A novel performance metric to improve underwater digital acoustic communication, called Multipath Penalty (MPP), is proposed as an alternative to traditional signal-to-noise ratio (SNR) methods in the context of the Arctic Beaufort Sea. MPP and SNR are compared alongside a third performance metric, …
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Performance limits on chemical computation
… relation between the design tuple, and the "performance tuple": (operating frequency, signal density, error rate). I give a lower bound on the probability of a logic error in one computation step, and an upper bound on the frequency of operation, both as functions of the design tuple. I …
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Ensemble of Feature Selection Techniques for High Dimensional Data
… data mining that helps increase the predictive performance of a model. The main aim of feature selection is to choose a subset of features with high predictive information and eliminate irrelevant features with little or no predictive information. Using a single feature selection technique may …
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Orchestra Framework: Protocol Design for Ad Hoc and Delay Tolerant Networks using Genetic Algorithms
… targeted at a specific network scenario or performance metric appear promising on paper, but the complexity and cost of implementing and tuning a routing protocol from scratch presents a major bottleneck in the protocol design process. A unique framework called 'Orchestra` is proposed in the …
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From Competitive to Cooperative Resource Management for Cyber-Physical Systems
… component model is used to form a rate-based performance metric that results in a convex optimization problem. A specialized optimization algorithm for solving this problem efficiently online and with limited precision hardware is introduced and evaluated through simulations. A feedback …
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Resource Cost Aware Scheduling Problems
… we are not only interested in a scheduling performance metric, but also the cost of the resources consumed to achieve a certain performance level. There are several ways in which the cost of non-renewal resources can be added into a scheduling problem. Throughout this dissertation we will …
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Hybrid Methods for Feature Selection
… Operating Characteristic (ROC) curve (AUC) performance metric. The proposed methods have been shown empirically to improve the performance of existing feature selection methods.</p>
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The Relationship of Project Team Attributes to Project Interim Performance
… of project team attributes and interim project performance using a statistical research design. An abundance of research has focused solely on the importance of technical project components as they relate to cost, schedule, or technical performance. However, research into internal team …
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Statistical model selection techniques for the cox proportional hazards model: a comparative study
… forest technique were compared using five performance criteria measures. These performance measures were concordance index, integrated area under the curve, and , and R2 . To carry out this exercise, a multicentre clinical trial data set was used. A simulation study was also implemented for …
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Increasing renewable energy system value through storage
… both locations and technologies. Here, a single performance metric, the benefit / cost ratio (X) of storage value added is analyzed across six locations globally to show that the relative value of storage technologies is largely location invariant. Electricity price dynamics, specifically the …
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Propulsion considerations for supersonic oblique flying wings
… tools (MSES), linearized theory, parametric estimation, and quasi D thermodynamic cycle analysis. Lift-to-drag ratio, thrust specific fuel consumption, and nacelle wave drag were examined as intermediate figures of merit that would ultimately impact the final performance metric-namely, …
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