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 14 of 14 for “"decision algorithm"”.
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A constrained MDP-based vertical handoff decision algorithm for wireless networks
… This thesis focuses on the vertical handoff decision algorithm, which determines the criteria under which vertical handoff should be performed. The problem is formulated as a constrained Markov decision process. The objective is to maximize the expected total reward of a connection subject to …
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A generalized adversary decision algorithm and analytic solution methods for advise models
… with an adversary profile through an adversary decision algorithm. Previously, the decision algorithm placed restrictive assumptions on the adversary profile, and simulation was the sole solution method for ADVISE models. In this thesis, the decision algorithm is generalized while simultaneously …
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A Location-aided Decision Algorithm for Handoff Across Heterogeneous Wireless Overlay Networks
… be triggered. The conventional RF-based handoff decision method does not have the necessary means for making an accurate decision in the type of environments described above. Therefore, a location-aided handoff decision algorithm was developed to prevent the triggering of handoffs that result …
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Reduction of process monitoring in semiconductor chip manufacturing
… competing considerations that affect the decision of how much inspection is appropriate. It proposes a decision algorithm to evaluate current inspection levels and determine the optimal frequency of inspections.
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Towards automated derivation in the theory of allegories
We provide an algorithm that automatically derives many provable theorems in the equational theory of allegories. This was accomplished by noticing properties of an existing decision algorithm that could be extended to provide a derivation in addition to a decision certificate. We also suggest …
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A Decision Support Tool for Problem Detection and Resolution in Healthy Newborns: An Exploratory Study to Understand Parental Acceptance and Perception of Usefulness
… feasibility first included the creation of a decision algorithm that would be used by the app. Results of a survey administered to new parents showed that by and large, parents would be willing to enter the data necessary to drive the algorithm. Although, in most cases, their behaviour did not …
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Large-scale prediction of patient-level antibiotic resistance : towards clinical decision support for improved antimicrobial stewardship
… Thus, this work aims to provide clinical decision support through patient-specific predictions of resistance at the point of care. Combining information from diagnoses, procedures, medications, clinicians' notes, and other modalities present in electronic medical records, various machine …
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Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks
… allocation. The model is evaluated based on two decision strategies, ‘Square Law Combining' Soft fusion, and ‘Majority Rule' Hard fusion sensing. The choice of applying energy detection for local spectrum sensing is due to its efficiency and simplicity in implementation. Simulations of the …
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Towards multi-domain speech understanding with flexible and dynamic vocabulary
… tailored specifically to its domain. A final decision algorithm selects a final hypothesis from the set of parallel recognizers.
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Bayesian algorithms for automated isotope identification
… with these automated identifiers is with the algorithms used for making identifications. We propose a new algorithm using Bayesian statistics that uses peak positions and areas to identify the source while allowing for calibration drift and shielding.
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Unified Multi-domain Decision Making: Cognitive Radio and Autonomous Vehicle Convergence
… and successful deployment of a cognitive engine decision algorithm by which a cognitive radio-equipped mobile robot may adapt its motion and radio parameters through multi-objective optimization. This provides a proof-of-concept prototype cognitive system that is aware of its environment, its …
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FUZZY METHODS FOR OBJECT RECOGNITION
… concept of fuzzy entropy. The key step of this algorithm is to segment the annular and sector regions dynamically by calculating the fuzzy entropy of each segmented region. Only one feature is extracted from one such region. The fuzzy entropy of this feature is used as a measure of its …
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Symbolic and connectionist machine learning techniques for short-term electric load forecasting
… neural network knowledge acquisition algorithms are however, not mature enough, presently, to handle complex real world problems such as knowledge extraction from large databases. Presence of symbolic along with numeric data in input and output poses problems for data pre-processing …
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Adding limited reconfigurability to superscalar processors
… large parallelism, after a detailed study of the algorithm. Even though this process can be automated, it still requires large computing resources, and cannot be performed at run time. To reduce the loss in speed compared to custom logic, it is possible to limit the reconfigurability to increase …