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Development and Evaluation of an Interdisciplinary Periodontal Risk Prediction Tool Using a Machine Learning Approach
(2017-05-01)
Periodontitis (PD) is a major public health concern which profoundly affects oral health and concomitantly, general health of the population worldwide. Evidence-based research continues to support association between PD ...
Threshold Free Detection of Elliptical Landmarks Using Machine Learning
(2017-12-01)
Elliptical shape detection is widely used in practical applications. Nearly all classical ellipse detection algorithms require some form of threshold, which can be a major cause of detection failure, especially in the ...
Stage-Specific Predictive Models for Cancer Survivability
(2016-12-01)
Survivability of cancer strongly depends on the stage of cancer. In most previous works, machine learning survivability prediction models for a particular cancer, were trained and evaluated together on all stages of the ...
Internal Fault Diagnosis of MMC-HVDC Based on Classification Algorithms in Machine Learning
(2019-05-01)
With the development of the HVDC system, MMC-HVDC is now the most advanced technology that has been put into use. In power systems, faults happen during the operation due to natural reasons or devices physical issues, which ...
Cross Dataset Evaluation for IoT Network Intrusion Detection
(2020-12-01)
With the advent of Internet of Things (IOT) technology, the need to ensure the security of an IOT network has become important. There are several intrusion detection systems (IDS) that are available for analyzing and ...
Bayesian Methods and Machine Learning for Processing Text and Image Data
(2017-08-01)
Classification/clustering is an important class of unstructured data processing problems. The classification (supervised, semi-supervised and unsupervised) aims to discover the clusters and group the similar data into ...
An Application of Clustering and Cluster Update Methods to Boiler Sensor Prediction and Case-Based-Reasoning to Boiler Repair
(2019-12-01)
Driven by demand from both consumers and manufacturers alike, Internet of Things (IoT) capabilities are being built into more products. Consumers want more control and access to their devices, while manufacturers can find ...
Medical Image Segmentation Using Machine Learning
(2021-08-01)
Image segmentation is the most crucial step in image processing and analysis. It can divide an image into meaningfully descriptive components or pathological structures. The result of the image division helps analyze images ...
Model-Independent Estimation of Optimal Hedging Strategies with Deep Neural Networks
(2019-05-01)
Inspired by the recent paper Buehler et al. (2018), this thesis aims to investigate the optimal hedging and pricing of financial derivatives with neural networks. We utilize the concept of convex risk measures to define ...
Model-Independent Estimation of Optimal Hedging Strategies with Deep Neural Networks
(2019-05-01)
Inspired by the recent paper Buehler et al. (2018), this thesis aims to investigate the optimal hedging and pricing of financial derivatives with neural networks. We utilize the concept of convex risk measures to define ...