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 20 for “"Features extraction"”.
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Road Features Extraction Using Terrestrial Mobile Laser Scanning System
… we have made in the field of road feature extraction from LiDAR data. We detail the development of three automated algorithms for the extraction of road features from terrestrial mobile LiDAR data. LiDAR data is a rich source of 3D geo-referenced information whose volume and scale have …
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Binaural sound source localization using machine learning with spiking neural networks features extraction
… spiking neural networks as a binaural feature extraction method was presented. These features were processed using deep neural networks to localise multisource sound signals that were emitted from different locations. Results show that the proposed bionic binaural emulator can accurately …
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A FEATURES EXTRACTION WRAPPER METHOD FOR NEURAL NETWORKS WITH APPLICATION TO DATA MINING AND MACHINE LEARNING
This dissertation presents a novel features selection wrapper method based on neural networks, named the Binary Wrapper for Features Selection Technique. The major aim of this method is to reduce the computation time that is consumed during the implementation of the process of features selection …
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Current based condition monitoring of electromechanical systems. Model-free drive system current monitoring: faults detection and diagnosis through statistical features extraction and support vector machines classification.
… current. The method proposed use the feature extraction and Support Vector Machines (SVM) to set the limits for healthy and faulty data based on the statistical methods. After an extensive overview of the related literature and studies, the motor which is the virtual sensor in the drive system …
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Computational Approaches for Time Series Analysis and Prediction. Data-Driven Methods for Pseudo-Periodical Sequences.
… of nth-order Difference (MANoD) and Series Features Extraction (SFE). Based on data-driven methods, the two original approaches open new insights in time series analysis and prediction contributing with new feature detection techniques. The proposed algorithms can reveal hidden patterns …
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Computational Approaches for Time Series Analysis and Prediction. Data-Driven Methods for Pseudo-Periodical Sequences.
… of nth-order Difference (MANoD) and Series Features Extraction (SFE). Based on data-driven methods, the two original approaches open new insights in time series analysis and prediction contributing with new feature detection techniques. The proposed algorithms can reveal hidden patterns …
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A Novel Image Retrieval Strategy Based on VPD and Depth with Pre-Processing
… four components: denoising, restoration, color features extraction, and depth feature extraction. We propose a visual perceptual descriptor (VPD) to extract color features from an image. Gradient direction is calculated at each pixel, and the VPD is moved over the entire image to locate regions …
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Interactive Imaging via Hand Gesture Recognition.
… be detected and classified. This task requires features extraction and feature comparison among each type of gestures. The essentials of hand gesture are including some low level features such as color, shape etc. Another important feature is orientation histogram. Each type of hand gestures has …
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Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
… using three existing content-based features extraction (Entropy, Byte Frequency Distribution (BFD) and Rate of Change (RoC)) to improve the identification of JPEG images content and support the reassembling process; (ii) a genetic algorithm with Coherence Euclidean Distance (CED) …
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Machine Learning for Lifespan Inference from Time-Lapse Microfluidic Images of Dividing Yeast Cells
… images and tested for object detection, and features extraction. The results indicate that YOLO had better performance in terms of object detection and accuracy. In contrast, the Mask R-CNN had better performance in terms of cell area and better detection when the number of cells inside the …
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A STUDY OF THE THERMAL CYCLING PERFORMANCE OF SOLDER JOINTS IN AREA ARRAY PACKAGING
… allow to characterize and extract distinctive features of solder joints on different area array packages; such features include mean intensity, structural similarities model and histogram intensity of the region of interest of solder joints. The validation experimental results have been …
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A high level approach to Arabic sentence recognition
… system supported by global transformation features extracted from binary word images. The adopted features' extraction technique is the block-based Discrete Cosine Transform (DCT) applied to the whole word image. Feature vectors extracted using block-based DCT with non-overlapping sub-block …
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Intelligent fault diagnosis of gearboxes and its applications on wind turbines
… include detecting the faults, extracting the features, and making the decisions. The fault detection process uses intelligent filtering techniques to extract faulty information buried in huge background noise. The feature extraction process extracts fault-sensitive and vibration based …
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Multi-Modal Ocular Recognition in presence of occlusion in Mobile Devices
… consists of local, global, deep feature extraction with learning-based matching. The best result of 0.63% EER using score level fusion of handcraft descriptors (HOG, and GIST) with the deep VGG16 descriptor for eyebrow-based user authentication. The second scheme was eyeglass-based user …
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Dynamic image crowd representations for improved anomaly detection using generative adversarial networks
… are used as an alternative to optical flow extractions for temporal development features extraction. The features are used in conjunction with image-to-image translation using CGANs (Conditional generative adversarial nets) for anomaly detection within crowds, and the proposed framework is …
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Sensor-based artificial intelligence to support people with cognitive and physical disorders
… acquired from a commercial sensor, statistical features extraction, and a deep neural network. A robotic system prototype is used to simplify the interaction with the inhabitant. For this work, a large dataset of annotated sensor data acquired over a period of 8 months from different individuals …
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Correlation-Based Detection and Classification of Rail Wheel Defects using Air-coupled Ultrasonic Acoustic Emissions
… on this structure. Also, by using same extracted features, the same types of defects were detected and classified on an actual rail-wheel.
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Wavelet based design of digital multichannel communications systems
… allowing effective representation of signals for features extraction purposes. The main features that make wavelet waveforms suitable to be used as shaping pulses for modulation are their substantial compact support both in the time and frequency domains, and the fact that they are ISI-free pulses …
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Computational intelligence for fault diagnosis in gearbox systems
… sensor selection, sensor location, and sensory features to be able to diagnose a fault accurately. Therefore, the goal is to select reliable techniques at each stage in order to improve the reliability of the fault diagnosis system. Different sets of experiments based on gearbox conditions are …
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The Detection of Vegetation Species in Remote Sensing Imaging
… system, chosen of training samples, feature extraction, and selection of appropriate classification techniques. The focus of the research in this thesis is on the monitoring of cereal crops, in particular infestation of wheat crops by black grass, a pernicious weed. This is regarded as the …