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 10 of 10 for “"and multi-layer perceptron"”.
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Simulating Urban Landscape Transformation: Implications for Urban Wetlands at Multiple Scales
Urban landscape change simulation has received increasing attention in recent times. As a result, many studies have focused on various aspects of land change simulation, ranging from uncertainty of input data to model accuracy. While efforts have been put into improving many of the existing urban …
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3D Scan Campaign Classification with Representative Training Scan Selection
… to effectively classify points in 3D scans, and can accelerate manual tasks like the removal of unwanted points from cultural heritage scans. However, a classifier’s performance depends on which classifier and feature set is used, and choosing these is difficult since previous approaches may …
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Learning sentiment and semantic relatedness in user generated content using neural models
Online review platforms and discussion forums are filled with insights that are critical to unlocking the value in user-generated content. In this thesis, we investigate two major Natural Language Processing (NLP) research areas: Aspect-Based Sentiment Analysis (ABSA) and Community Question …
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CHARACTERIZATION AND ESTIMATION OF MUSCULOSKELETAL PAIN USING MACHINE LEARNING
… recording pain are known to be highly subjective and biased due to inaccuracies in recollecting actual pain intensities. As a result, machine learning (ML) models that are trained using these scores as ground truth are reported to have low performance for objective pain classification because of …
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Predictive healthcare modelling via kernel-based machine learning
… (EHR) contain complementary information from multiple sources and are characterised as heterogeneous due to the disparate innate properties of their constituents. Secondly, patients typically fall ill at irregular intervals and experience dissimilar intervention trajectories. This results in …
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Non-destructive Evaluation of Food Products by Microwave and mmW Imaging
Ensuring food safety and quality is a major concern in the food industry, as physical contamination can pose significant health risks to consumers, damage brand reputation, and lead to legal consequences. Common detection methods, such as X-ray inspection, have limitations, particularly in …
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Surface electromyography signal classification using SFDN+DNN for hand gesture recognition
… the Surface Electromyography (SEMG) signals for hand movement recognition is presented and compared to the other approaches in the literature. EMG or muscle’s cells electrical activity are the electrical signals that are carried from the brain to the muscles through the spinal cord. These signals …
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A Machine Learning Classification Framework for Early Prediction of Alzheimer’s Disease
… in addition to their concerns about getting old and having to go through watching themselves grow weak and wrinkly, are facing an increasing fear of dementia. There are around 47 million people affected by dementia worldwide and the cost associated with providing them health and social care …
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Development of an Automated Coin Grading System: Integrating Image Preprocessing, Feature Extraction, and ML Modeling
… uses image preprocessing, feature extraction, and advanced machine learning techniques to predict the grade across different coin types. Our system employs synthetic reference masks to identify "expected" regions, like the contours of reliefs, and "unexpected" regions, such as surface …
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GSM based Communication-Sensor (CommSense) System
… wireless Radio Frequency (RF) signals to detect and track targets of interest. This is achieved by placing two antennas, one towards the transmitting base station and the other towards the surveillance area. The signal received by these two antennas are correlated to determine the location and …