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 “"Real-time classification"”.
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REAL-TIME CLASSIFICATION OF CONTINUOUS GESTURES
This study aims to develop a real-time continuous gestures classification system. The approach does not rely on using any gloves, visual markings, or special camera to achieve the recognition task. Instead, it uses just real-time video streaming of bare hand from a webcam. The top priority of this …
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Correlation and real time classification of physiological streams for critical care monitoring.
… of algorithms that support the correlation and real-time classification of physiological data streams through the development of clinically meaningful alerts using a blend of expert knowledge in the domain and pattern recognition programming based on clinical rules. Its relevance is demonstrated …
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Application of Machine Learning Techniques for Real-time Classification of Sensor Array Data
… Neighbor (KNN), Support Vector Machine (SVM), Classification and Regression Trees (CART), Random Forest (RF), Naïve Bayes Classifier (NB), and Principal Component Regression (PCR). A total of 10 predictors that are associated with the response from 10 sensor channels are used to train and test …
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Development of an Exteroceptive Sensor Suite on Unmanned Surface Vessels for Real-Time Classification of Navigational Markers
… development of an exteroceptive sensor suite for real-time detection and classification of navigational markers on Unmanned Surface Vessels. Three sensors were used to complete this task: a 3D LIDAR and two visible light cameras. First, all LIDAR points were transformed from the sensor’s reference …
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Relaxed mental state detection using the Emotiv Epoc and Adaptive Threshold Algorithms
… purpose is to investigate the feasibility of real-time classification of a subject's relaxation state using one such consumer-grade EEG system, the Emotiv Epoc. The subject's state is classified as relaxed or non-relaxed by monitoring the EEG signals over the occipital brain region and …
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A framework for automated landmark recognition in community contributed image corpora
… an hierarchical matching approach to allow near real-time classification and captioning of images containing landmarks.
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Object localization and identification for autonomous operation of surface marine vehicles
… trained network applied to new images returns real-time classification predictions with more than 93% accuracy. This information, along with distance and heading relative to the objects taken from the calibrated camera, allows for the precise determination of vehicle position with respect to …
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Reducing the computational demands of medical monitoring classifiers by examining less data
… the hospital. These devices can be used for real-time classification of the data they collect. For practical purposes, such devices must be comfortable and thus be powered by small batteries. Since classification algorithms often perform energy-intensive signal analysis, power management …
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Dynamic Discriminant Analysis with Applications in Computational Surgery
… that the proposed DLS algorithm provides better classification than existing methods. For the surgical skill evaluation problem, results indicate that the Intent Vectors approach provides equivalent or better classification accuracy when compared to prior art. Interpretation: The algorithms …
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SmellNet: A Large-scale Dataset for Real-world Smell Recognition
… evaluating AI systems’ ability to smell in the real world. In this paper, we use portable gas and chemical sensors to create SmellNet, the first large-scale database that digitizes a diverse range of smells in the natural world. SmellNet contains about 180,000 time steps of 50 substances …
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Detection and Analysis of Molten Aluminium Cleanliness Using a Pulsed Ultrasound System
… business objectives for the project include the real-time classification of anomalous events by means of a supervised classifier for the metal quality outcome, and a classifier for the inclusion type responsible for low quality. The adopted methodology involves descriptive, diagnostic and …
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Multimaterial multifunctional fibers for biomedical applications
… bioink composition and exhibit selectivity for real-time classification of cell type, viability, and state of differentiation during bioprinting (Chapter 4). The same device allows for local delivery of immune checkpoint blockade antibodies and for monitoring of clinical outcomes by tumor …
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Enhancement of the Fynbos Leaf Optical Recognition Application (FLORA-E)
Object perception, classification and similarity discernment are relatively effortless tasks in humans. The exact method by which the brain achieves these is not yet fully understood. Identification, classification and similarity inference are currently nontrivial tasks for machine learning enabled …
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Optimizing main spectrum profiles for use in real-time MALDI-TOF mass spectrometry identification of Leptospira serovars
… of Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) by diagnostic laboratories for microorganism identification to the species-level, MALDI-TOF MS was explored as a potential method for serovar detection and identification in leptospirosis-positive …