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 35 for “"Detection strategies"”.
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FORMULATION OF DETECTION STRATEGIES IN IMAGES
… on two distinct but related problems involving detection in multiple images. The first problem focuses on the accurate detection of runways by fusing Synthetic Vision System (SVS) and Enhanced Vision System (EVS) images. A novel procedure is developed to accurately detect runways and horizons …
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Feigning Cognitive Deficits on Neuropsychological Evaluations: Multiple Detection Strategies
… simulators (one cautioned about the presence of detection strategies and one not cautioned) were compared to clinical and normal control groups. Fourteen scales were developed based on five detection strategies: symptom validity testing, performance curve, magnitude of error, response time, and …
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EMP mitigation and novel detection strategies for laser-plasma experiments
Laser driven particle and radiation sources have the potential to become an alternative to conventional accelerators for a number of applications. Many laser-driven sources have been demonstrated, including x-rays, protons, electrons and positrons. The laser driven production of exotic particles …
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Development of an induction motor condition monitoring test rig And fault detection strategies
… associated with induction motors and to develop strategies for detecting these faults that employ signal processing techniques. Literature on basic concepts of induction motors and inverter drives, the phenomena of common faults associated with induction motors, the condition monitoring systems …
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Condition monitoring and fault detection of inverter-fed rotating machinery
… are two of the most popular parameters for fault detection, were considered. The test rig equipment that is used to carry to the experiments, which comprised a modified Machine Fault Simulator -Magnum (MFS-MG), is presented and discussed. The fault detection strategies rely on the presence of a …
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New insights in the molecular pathogenesis of neurofibromatosis type 1
… symptoms by exploiting improved somatic mutation detection strategies on a diverse spectrum of cellular entities.
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Design and development of a machine learning-based framework for phishing website detection
… a framework based on multiple phishing detection strategies, which are whitelist, blacklist, heuristic rules, and machine learning models, to improve accuracy and flexibility. In the machine learning-based method, three traditional models and three deep learning models are trained and …
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Needles in the Quantum Haystack: CMS Anomaly Detection with Normalizing Flows
… of research efforts have adopted new anomaly detection strategies which utilize density estimation algorithms based on unsupervised and semi-supervised machine learning. However, these efforts rely exclusively on QCD background priors, and thus drastically limit their own anomaly detection …
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Applying Reservoir Computing for Driver Behavior Analysis and Traffic Flow Prediction in Intelligent Transportation Systems
… ensuring safety through advanced anomaly detection is crucial. This thesis integrates Reservoir Computing with temporal-aware data analysis to enhance driver behavior assessment and traffic flow prediction. Our approach combines Reservoir Computing with autoencoder-based feature extraction …
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Decoding Continuous Gravitational Waves from Pulsars: A Multi-Wavelength Approach
The detection of continuous gravitational wave (CW) signals from isolated neutron stars will provide new insights into the physics of neutron stars and significantly contribute to the field of gravitational wave (GW) astronomy. CW signals are expected, for instance, from young pulsars with …
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Data-rich multivariable detection and diagnosis using eigenspace analysis
… matrix obtained from multiple samples. Detection strategies using the eigenspace and Cholesky matrices compute second order statistics and use this information to detect subtle changes in the process. Probability distributions of these matrices are discussed. In particular, the precise …
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Microbead-Based Biosensing in Microfluidic Devices
… alternative bead-based target capture and detection strategies. This work enhances our understanding of bead-based microfluidic systems and provides a design and optimization tool for developers of point-of-care, lab-on-chip devices for medical diagnosis, food and water quality inspection, …
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A context-aware approach for handling concept drift in classification
… the need for data re-selection via a change detection model. The experimental analyses on simulated, benchmark, and real-world datasets, show that such explicit identification and utilisation of contextual information result in a more effective data selection and drift detection strategies, …
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Vibration-Based Health Monitoring of Multiple-Stage Gear Train and Differential Planetary Transmission Involving Teeth Damage and Backlash Nonlinearity
… this thesis is to develop vibration-based fault detection strategies for on-line condition monitoring of gear transmission systems. The study divides the thesis into three sections. First of all, the local stresses created by a root fatigue crack on a pinion spur gear are analyzed using a …
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The Development of New Tools to Investigate Alphavirus Replication Kinetics
… in invertebrate cells. By comparing different detection strategies and chemistries, we identified an optimal ssqPCR assay design for strand-specific quantification of viral RNAs in infected cells and tissues. We found that primer sets incorporating the use of a non-target tag sequence were able …
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A Distributed and Hybrid AI-Based Security Framework for 5G Real-time Applications
… testbed that serves as a distributed intrusion detection system (IDS), and the implementation of a hybrid deep reinforcement learning (HDRL) method. LEMDA represents a breakthrough in data processing for IoMT systems. By intelligently reducing data complexity, LEMDA enhances the speed and …
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INVESTIGATING THE ROLE OF EXTRACELLULAR VESICLES AND GLYCOSYLATION IN CANCER METASTASIS
… on the National Health Service (NHS). Early detection is crucial for improving survival rates and reducing healthcare strain, especially as metastasis, the primary cause of mortality in these cancers, remains poorly understood. Protein glycosylation, a post-translational modification of …
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Investigating the role of extracellular vesicles and glycosylation in cancer metastasis
… on the National Health Service (NHS). Early detection is crucial for improving survival rates and reducing healthcare strain, especially as metastasis, the primary cause of mortality in these cancers, remains poorly understood. Protein glycosylation, a post-translational modification of …
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Single-molecule detection of molecular beacons generated from LDR on thermoplastic microfluidic device for bioanalysis
Current clinical techniques for nucleic acid detection and analysis often involve PCR, lacking adequate specificity or sensitivity to meet the stringent requirements in certain applications. This research aims to develop an innovative molecular assay and the associated hardware to rapidly signal …
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Carbon Monoxide Prodrugs for Targeted Cancer Therapy
… the previously developed bioconjugation and CO-detection strategies were applied to a cathepsin B–responsive, iron-core CO-prodrug, providing a second example of targeted delivery of CO based on cancer-associated biomarkers. These findings open new avenues for investigating the therapeutic …
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