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 78 for “"Temporal Features"”.
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Mouse auditory perception of temporal features of sound
… psychoacoustics and investigates two aspects of temporal processing in the mouse, a) the ability to discriminate signals of different duration (duration discrimination), and b) the ability to exploit correlated amplitude fluctuations in a noise masker to enhance signal detection (comodulation …
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A cross-linguistic study of certain temporal features of speech in stuttering and nonstuttering children
Four experiments were performed to measure temporal coarticulatory speech features in the perceptually fluent speech of 120 South African children. The aim was to test, in a limited way, the postulate that stuttering may be essentially a disorder of speech timing. Comparisons were made between …
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A deep learning approach to real-time short-term traffic speed prediction with spatial-temporal features
In the realm of Intelligent Transportation Systems (ITS), accurate traffic speed prediction plays an important role in traffic control and management. The study on the prediction of traffic speed has attracted considerable attention from many researchers in this field in the past three decades. In …
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Deep Learning Models for Traffic Prediction in Urban Transport Networks.
… EM is able to analyse and extract spatial and temporal features from original traffic data for the final prediction. This short-term traffic prediction could give drivers traffic situation in advance and guide them to avoid congested roads to reduce travel time and also relieve traffic …
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Friendship formation in early adolescence
The objectives of this study were to (a) examine temporal features of youths' peer relationships during the transition to high school and (b) examine prospectively the earliest phases of friendship formation. Students were tested six times as they moved from Grade 6 in small elementary schools into …
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Perceiving Temporal Structure
… and positions but also with events and their temporal structure: that is, their temporal relationships such as simultaneity and temporal order. This dissertation aims to defend the claim that we perceptually experience temporal structure from recently revived challenges, and to show how a …
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Vision-Based 3D Human Motion Analysis for Fall Detection and Bed-Exiting
… skeletal view are processed to extract posture features. Then the principle component analysis and k-means clustering algorithms are applied for dimensionality reduction, vector quantization and feature translation. HMMs are well known for their application in temporal pattern recognition, thus …
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Comparative Analysis of Machine Learning Models for ERCOT Short Term Load Forecasting
… approach is employed, evaluating models based on temporal features alone as well as in combination with actual and forecasted weather variables. The research emphasizes region-specific forecasting by capturing heterogeneous load patterns for ERCOT's individual weather zones and aggregating them to …
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A Model-Free Approach for Classification of fMRI Brain Images
… the presented methodology identifies spatio-temporal features that distinguish the groups and uses these features to categorize new subjects. The methodology is illustrated using simulations and in vivo data sets.
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Deep embedding approach to classify purpose of trips between cities from GPS data
… deep embedding approach. I extracted statistical features that captures trips characteristics that includes: temporal features, spatial features and Points of Interests (POI) features. I deployed a deep learning model to extract representative features in a lower dimensional space, which I then …
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AI-Driven Pig Monitoring System: Behavior and Weight Analysis
… learning architectures combining spatial and temporal features, achieving a mean absolute percentage error of 5.56%. These methods demonstrate robust performance in real-world conditions while minimizing animal stress and manual labor requirements, contributing significantly to precision …
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Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors
… for traffic incident prediction with spatiotemporal feature learning, social media-based transportation event detection, and a graph convolutional network-based cyberbullying detection algorithm are the four methods proposed. Additionally, based on the sensitivity of these urban sensor data, …
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Visual Speech Recognition Using a 3D Convolutional Neural Network
… 3D-CNNs can be successful in finding spatial-temporal features using unsupervised feature extraction and are a suitable choice for VSR-based systems.</p>
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Counterfactual Prescriptions Via Hierarchical ML For Missed Chemotherapy Appointment Prevention
… among remaining cases. Combining operational and temporal features, the model achieves F1-scores of 0.76 and 0.82, outperforming a multinomial baseline by 7–10 points on minority classes. To extend interpretability, we infer missed-visit reasons through semi-supervised learning on short-notice …
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Hidden Markov model based visual speech recognition
… visual speech elements. Considering that the temporal features of visual speech elements may be confusable and sensitive to their contexts, three novel training strategies, referred to as two-channel training strategy, Maximum Separable Distance training strategy and HMM Adaptive Boosting …
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American Sign Language Recognition Using Machine Learning and Computer Vision
… model takes video sequences and extracts temporal and spatial features from them. We then use Inception, a CNN (Convolutional Neural Network) for recognizing spatial features. We then use an RNN (Recurrent Neural Network) to train on temporal features. The dataset used is the American Sign …
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Real-time statistical saliency using high throughput circuit design and its applications in psychophysical study
Using low level video data, features can be extracted from images to predict search time and statistical saliency in a way that models the human visual system. The statistical saliency model helps explain how visual search and attention systems direct eye movement when presented with an image. The …
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2022: A Computational Odyssey - Towards a Deeper Understanding of Clustering Streaming Human Activity Recognition Data
… developed hybrid algorithms to extract important features for human activity recognition from IoT sensor data, and concluded with an analysis of visualization algorithms that can be used for improving the interpretation of the clustering methods. Our work on clustering IoT HAR sensor data using …
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