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 11 of 11 for “"Adaptive Selection"”.
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Optimizing Real-Time ECG Data Transmission in Constrained Environments
… ECG monitoring in real-time through the adaptive selection of ECG leads after applying multi-class classification to the raw ECG signals. We deploy CNN model scenarios on MIT-BIH and CODE-test datasets and adjust the number of ECG streamed channels to 1,4, and 8, based on the detected …
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An Approach to Automatic Selection of the Optimal Local Feature Detector
… by proposing an approach for the automatic selection of the optimal feature detector in relation to the input image characteristics. Having knowledge of how the imaging conditions will influence a feature detector's performance is fundamental to this research. Thus, the behaviour of feature …
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A multilevel logistic hidden Markov model for learning under cognitive diagnosis
… and which material one should use to study. Such adaptive selection would rely on preknowledge of how the learners’ and the instructional tools’ characteristics jointly affect the probability of acquiring a certain skill. Building upon previous research on Latent Transition Analysis and Learning …
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Genomic Evolution of Chemoresistance In Triple-Negative Breast Cancer Delineated By Single Cell Sequencing
… resistance to chemotherapy is driven by the selection of rare pre-existing subclones with genomic mutations and transcriptional programs that confer resistance to chemotherapy (adaptive resistance) or by the spontaneous induction of new mutations and expression changes that confer a resistant …
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An influence model approach to failure cascade prediction
… weight of each pairwise influence. Finally, an adaptive selection of threshold for each link is proposed to tailor the influence model to better fit different initial contingencies. We test our framework on a number of large scale power networks under both DC and AC flow models, and verify its …
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Architecture design for disaster resilient management network using D2D technology
… optimization, reliability enhancement, adaptive selection, and low latency communications. It also examines the importance of mode selection, power management, frequency and time resource allocation to realize the promises of Long-term Evolution (LTE) Device to Device (D2D) …
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Completion Delay Minimization for Instantly Decodable Network Coding
… IDNC in some network scenarios, we design an adaptive selection algorithm that efficiently selects, between these two schemes, the one that achieves the smaller completion delay. To study the effect of feedback reduction, we formulate the completion delay minimization problem, for the cases of …
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Robust GMSK Demodulation Using Demodulator Diversity and BER Estimation
… estimators. BER (in place of MSE) can now drive adaptive signal processing. Using a cost function and gradient for Parzen's estimator (derived in this paper), BER estimation is applied to demodulator diversity with substantial gains of 1-10 dB in carrier- to-interference ratio over individual …
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Towards a Resource Efficient Framework for Distributed Deep Learning Applications
… virtual GPU training, heterogeneity-aware adaptive scheduling, and token-based incentive algorithm. In the first chapter (Chapter 3), we explore and focus on analyzing performance trend of distributed deep learning on latest HPC systems such as Summitdev supercomputer at Oak Ridge National …
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Optimising energy efficiency and spectral efficiency in multi-tier heterogeneous networks : performance and tradeoffs
… of HetNets. First, a joint network and user adaptive selection mechanism in two-tier HetNets is proposed to improve the SE using game theory to dynamically re-configure the network while satisfying the user's quality-of-service (QoS) requirements. In this work, the proposed scheme tries to …
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Robust Control for Inter-area Oscillations
In order to reduce the detrimental effects of inter-area oscillations on system stability, it is possible to use Linear Matrix Inequalities (LMIs) to design a multi-objective state feedback. The LMI optimization finds a control law that stabilizes several contingencies simultaneously using a …